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New documents published for NSI-WG, #237-238
by Greg Newby 15 Dec '19

15 Dec '19

Dear OGF community, Two new documents have been published by OGF. All OGF documents (including any that are open for public comment) may be found here: www.ogf.org/ogf/doku.php/documents/documents These documents were provided by the NSI Working Group: *GWD-R-P.237: NSI Connection Service v2.1* Authors: Guy Roberts, GÉANT; John MacAuley, ESnet; Tomohiro Kudoh, University of Tokyo; Chin Guok, ESnet Abstract: This document describes the Connection Service v2.1, which is one of a suite of services that make up the Network Service Interface (NSI). The NSI is a web-service based protocol that operates between a requester software agent and a provider software agent. The full suite of NSI services allows an application or network provider to request and manage circuit service instances. Apart from the Connection Service, this includes the Document Distribution Service, which allows NSI documents such as the NSI Topology and the NSA Description to be shared among participating NSI agents. The complete set of NSI services is described in the Network Services Framework v2.0. This Connection Service document describes the protocol, state machine, architecture and associated processes and environment in which software agents interact to deliver a Connection. A Connection is a point-to-point network circuit that can transit multiple networks belonging to different providers. *GWD-I.238: NSI Connection Service v2.0 to v2.1 Delta* Author: Guy Roberts, GÉANT Abstract: This document is an informational guide to the differences between the NSI Connection Service version 2.0 and version 2.1. - Greg Newby, OGF Standards Editor -- Gregory Newby Ph.D. Chief Technology Officer / Chef de la Technologie gbnewby(a)computecanada.ca / (o) 416-228-1234 (f) 416-907-1555 (c) 613-334-8373 155 University Avenue, Suite 302, Toronto, Ontario, Canada M5H 3B7 www.computecanada.ca / www.calculcanada.ca / @ComputeCanada

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Geoffrey C. Fox Named 2019 ACM-IEEE CS Ken Kennedy Award Recipient
by Sill, Alan 23 Oct '19

23 Oct '19

Dear OGF colleagues, We are pleased to congratulate long-time OGF participant, colleague, and past member of the OGF Board of Directors Prof. Geoffrey C. Fox on his selection as this year’s recipient of the ACM-IEEE CS Ken Kennedy Award for his "foundational contributions to parallel computing methodology, algorithms and software, and data analysis, and their interfaces with broad classes of applications” as listed on the citation linked below. This award is of course well-deserved and in perfect consistency with the tradition of scholarship, community service, and mentorship set by the late Ken Kennedy, for whom the award is named and in whose memory it is given. We are also grateful for the long pattern of service and contribution given by Prof. Fox over the years to advance the goals of the OGF community. On behalf of the Grid Forum Steering Group and the OGF community, congratulations to Prof. Fox! Alan Sill, Ph.D Managing Director, High Performance Computing Center Adjunct Professor of Physics, Texas Tech University Co-Director, NSF Center for Cloud and Autonomic Computing President, Open Grid Forum -------------------------------------- ACM Bulletin Archives<https://www.acm.org/membership/acm-bulletin-archive> October 23, 2019 [to view image click on] Geoffrey C. Fox Named 2019 ACM-IEEE CS Ken Kennedy Award Recipient [to view image click on] ACM and the IEEE Computer Society (IEEE-CS) have named Geoffrey C. Fox of Indiana University Bloomington as the recipient of the 2019 ACM-IEEE CS Ken Kennedy Award<https://awards.acm.org/kennedy>. Fox was cited for foundational contributions to parallel computing methodology, algorithms and software, and data analysis, and their interfaces with broad classes of applications. The award will be presented at SC19: The International Conference for High Performance Computing, Networking, Storage and Analysis<https://sc19.supercomputing.org/>, November 17-22, in Denver, Colorado. Fox has made several important technical contributions to high performance computing. He identified the principles behind the use of decomposition and efficient message passing in early multiple instruction, multiple data (MIMD) hypercubes, which pioneered application development on parallel machines. In several well-received papers, Fox demonstrated the synergies between message passing interface (MPI) and MapReduce. Fox’s service to the community includes involvement with several organizations, including the National Association for Equal Opportunity in Higher Education, to identify research opportunities in computing for the students and staff of minority serving institutions (MSIs). He has also taught Java and parallel computing online courses to historically black colleges and universities and MSIs. Fox has also taken on many volunteer roles, including General Chair, of several conferences and workshops. Fox is Director of the Digital Science Center, Associate Dean for Research and Graduate Studies at the Indiana University School of Informatics and Computing, and a professor of Informatics and Computing and Physics at Indiana University Bloomington. ACM and the IEEE Computer Society co-sponsor the Kennedy Award, which was established in 2009 to recognize substantial contributions to programmability and productivity in computing and significant community service or mentoring contributions. It was named for the late Ken Kennedy, founder of Rice University’s computer science program and a world expert on high performance computing. The Kennedy Award carries a $5,000 honorarium endowed by the SC Conference Steering Committee. Read the ACM news release<https://www.acm.org/media-center/2019/october/kennedy-award-2019>. [to view image click on] Association for Computing Machinery 1601 Broadway, 10th Floor, New York, NY 10019-7434 Copyright © 2019, ACM, Inc. All rights reserved

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[ASGC] Last & Final ISGC 2020 CFP Extension - until 21 October, 2019
by Sill, Alan 14 Oct '19

14 Oct '19

[Apologize if you receive multiple postings] CFP DEADLINE Extension: 21 October, 2019 We welcome you to contribute or encourage your colleagues to contribute to the ISGC 2020. The submission deadline is extended to 14 October, 2019. Thank you very much for forwarding call to those potentially interested to submit. ************************************************ CALL for PARTICIPATION / ABSTRACTS International Symposium on Grids and Clouds (ISGC<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevent.twgr…>) 2020 8 ~ 13 March 2020, Academia Sinica, Taipei, Taiwan Call for Abstracts • On-line Submission: https://indico4.twgrid.org/indico/event/11/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.t…> • Submission Deadline Extension: Monday, 21 October 2019 • Abstract Word Limit: 400 (minimum)～600 (maximum) words • Acceptance Notification to Authors: (the week of) Monday, 9 December 2019 • Conference website: http://event.twgrid.org/isgc2020/<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevent.twgr…> Theme: Challenges in High Performance Data Analytics: Combining Approaches in HPC, HTC, Big Data and AI While the research data are becoming a real asset nowadays, it is an information and knowledge gained through thorough analysis that makes them so valuable. To process vast amounts of data collected, novel high performance data analytics methods and tools are needed, combining classical simulation oriented approaches, big data processing and advanced AI methods. Such a combination is not straightforward and needs novel insights at all levels of the computing environment – from the network and hardware fabrics through the operating systems and middleware to the platforms and software, not forgetting the security – to support data oriented research. Challenging use cases that apply difficult scientific problems are necessary to properly drive the evolution and also to validate such high performance data analytics environments. The goal of ISGC 2020<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevent.twgr…> is to create a face-to-face venue where individual communities and national representatives can present and share their contributions to the global puzzle and contribute thus to the solution of global challenges. We cordially invite and welcome your participation! Topics of Interest: 1. Applications and results from the Virtual Research Communities and Industry (1) Physics (including HEP) and Engineering Applications Submissions should report on experience with physics and engineering applications that exploit grid and cloud computing services, applications that are planned or under development, or application tools and methodologies. Topics of interest include: (1) End-user data analysis including ML/DL based one; (2) Management of distributed data; (3) Applications level monitoring; (4) Performance analysis and system tuning; (5) Workload scheduling; (6) Management of an experimental collaboration as a virtual organization; (7) Comparison between grid and other distributed computing paradigms as enablers of physics data handling and analysis; (8) Expectations for the evolution of computing models drawn from recent experience handling extremely large and geographically diverse datasets; and (9) Application software development, optimization and benchmarking. (2) Biomedicine & Life Sciences Applications During the last decade, research in Biomedicine and Life Sciences has dramatically changed thanks to the continuous developments in High Performance Computing and highly Distributed Computing Infrastructures such as grids and clouds, but also in big-data solutions to deal with the explosion in genomic data. This track aims at discussing problems, solutions and application examples related to this area of research, with a particular focus on non-technical end users. Submissions should concentrate on practical applications and solutions in the fields of Biomedicine and Life Sciences, such as Drug discovery, Structural biology, Bioinformatics, Medical imaging, Public health applications / infrastructures, High throughput (grid and cloud-based) data processing/analysis, Distributed data computing and services, and Big data management issues. Submissions should ideally highlight how the availability and use of Big Data has enabled new processes for or dramatically evolved the scope of their research. (3) Earth & Environmental Sciences & Biodiversity Applications Natural and Environmental sciences are placing an increasing emphasis on the understanding of the Earth as a single, highly complex, coupled system with living and dead organisms. It is well accepted, for example, that the feedback involving oceanic and atmospheric processes can have major consequences for the long-term development of the climate system, which in turn affects biodiversity, natural hazards and can control the development of the cryosphere and lithosphere. Natural disaster mitigation is one of the most critical regional issues in Asia Despite the diversity of environmental sciences, many projects share the same significant challenges. These include the collection of data from multiple distributed sensors (potentially in very remote locations), the management of large low-level data sets, the requirement for metadata fully specifying how, when and where the data were collected, and the post-processing of those low-level data into higher-level data products which need to be presented to scientific users in a concise and intuitive form. This session would in particular address how these challenges are being handled with the aids of e-Science paradigm. (4) Humanities, Arts, and Social Sciences (HASS) Applications Disciplines across the Humanities, Arts and Social Sciences (HASS) have critically engaged with technological innovations such as grid- and cloud computing, and, most recently, various data analytic technologies. The increasing availability of data, ranging from social media text data to consumer big data has led to an increasing interest in analysis methods such as natural language processing, social network analysis, machine learning and text mining. These developments pose challenges as well as opening up opportunities and members of the HASS community have been at the forefront of discussions about the impact that novel forms of data, novel computational infrastructures and novel analytical methods have for the pursuit of science endeavours and our understanding of what science is and can be. The ISGC 2020 HASS track invites papers and presentations covering applications demonstrating the opportunities of new technologies or critically engaging with their methodological implications in the Humanities, Arts and Social Sciences. Innovative application of analytical tools for survey data, social media data, and government (open) data are welcomed. We also invite contributions that critically reflect on the following subjects: (1) the impact that ubiquitous and mobile access to information and communication technologies have for society more generally, especially around topics such as smart cities, civic engagement, and digital journalism; (2) philosophical and methodological reflections on the development of the techniques and the approaches by which data scientists use to pursue knowledge. 2. Technologies that provide access and exploitation of different site resources and infrastructures (5) Virtual Research Environment (including tools, services, workflows, portals, … etc.) Virtual Research Environments (VRE) provide an intuitive, easy-to-use and secure access to (federated) computing resources for solving scientific problems, trying to hide the complexity of the underlying infrastructure, the heterogeneity of the resources, and the interconnecting middleware. Behind the scenes, VREs comprise tools, middleware and portal technologies, workflow automation as well a security solutions for layered and multifaceted applications. Topics of interest include but are not limited to: (1) Real-world experiences building and/or using VREs to gain new scientific knowledge; (2) Middleware technologies, tools, services beyond the state-of-the-art for VREs; (3) Science gateways as specific VRE environments, (4) Innovative technologies to enable VREs on arbitrary devices, including Internet-of-Things; and (5) One-step-ahead workflow integration and automation in VREs. (6) Data Management & Big Data The rapid growth of the data available to scientists and scholars – in terms of Velocity and Variety as well as sheer Volume – is transforming research across disciplines. Increasingly these data sets are generated not just through experiments, but as a byproduct of our day-to-day digital lives. This track explores the consequences of this growth, and encourages submissions relating to two aspects in particular - firstly, the conceptual models and analytical techniques required to process data at scale; secondly, approaches and tools for managing and creating these digital assets throughout their lifecycle. 3. Infrastructure for Research (7) Network, Security, Infrastructure & Operations Networking and the connected e-Infrastructures are becoming ubiquitous. Ensuring the smooth operation and integrity of the services for research communities in a rapidly changing environment are key challenges. This track focuses on the current state of the art and recent advances in these areas: networking, infrastructure, operations, and security. The scope of this track includes advances in high-performance networking (software defined networks, community private networks, the IPv4 to IPv6 transition, cross-domain provisioning), the connected data and compute infrastructures (storage and compute systems architectures, improving service and site reliability, interoperability between infrastructures, data centre models), monitoring tools and metrics, service management (ITIL and SLAs), and infrastructure/systems operations and management. Also included here are issues related to the integrity, reliability, and security of services and data: developments in security middleware, operational security, security policy, federated identity management, and community management. Submissions should address solutions in at least one of these areas. (8) Infrastructure Clouds and Virtualizations This track will focus on the development of cloud infrastructures and on the use of cloud computing and virtualization technologies in large-scale (distributed) computing environments in science and technology. We solicit papers describing underlying virtualization and "cloud" technology including integration of accelerators and support for specific needs of AI/ML and DNN, scientific applications and case studies related to using such technology in large scale infrastructure as well as solutions overcoming challenges and leveraging opportunities in this setting. Of particular interest are results exploring the usability of virtualization and infrastructure clouds from the perspective of machine learning and other scientific applications, the performance, reliability and fault-tolerance of solutions used, and data management issues. Papers dealing with the cost, price, and cloud markets, with security and privacy, as well as portability and standards, are also most welcome. (9) Converging High Performance infrastructures: Supercomputers, clouds, accelerators The classical simulation-oriented computing is nowadays complemented by the novel general machine learning and specifically deep neural networks based approaches. This requires novel approaches to build high performance infrastructures, combining supercomputers, high performance clouds, specialized DNN hardware and other accelerators. An additional challenge lies in the individual components being provided by different owners, usually in a federated distributed way. This track solicits recent research and development achievements and best practices in building and exploiting these converging high performance infrastructures or their components. The topics of interest include, but are not limited to the followings: (1) Building and use of modern high performance computing systems, including special support for AI and DNN in particular; (2) Use of virtualization techniques and containers to support access to and portability across different heterogeneous systems; (3) Experiences, use cases and best practices on the development and operation of large-scale heterogeneous applications; (4) Integration and interoperability to support coordinated federated use of different e-infrastructures (supercomputers, accelerated clouds, …) and their building blocks; (5) Performance of different applications on these integrated high performance infrastructures. Program Committees (In last name alphabetic order) Kento Aida, NII, JP Jim Basney, Univ. of Illinois at Urbana-Champaign. US Daniele Bonacorsi, Univ. of Bologna,, IT Alexandre M.J.J Bonvin, Utrecht Univ., NL Yaning, Arthur Chen, Tamkang Univ., TW Gang Chen, IHEP/ CAS, CN Patrick Fuhrmann, DESY, DE David Groep, Nikhef, NL Mark Hedges, King's College London, UK David Kelsey, STFC-RAL, UK Dieter Kranzlmüller, LMU Munich, DE Yannick Legre, EGI.eu<http://EGI.eu>, NL Simon C. Lin, Academia Sinica, TW Satoshi Matsuoka, Tokyo Inst. of Tech, JP Ludek Matyska, CESNET, CZ Glenn Moloney, Univ. of Melbourne, AU Tomoaki Nakamura, KEK, JP Suhaimi Napis, UPM, MY Alan Sill, Texas Tech Univ., US Basuki Suhardiman, ITB, ID Junichi Tanaka, Univ. of Tokyo, JP Andrea Valassi, CERN, CH Alexander Voss, Univ. of St. Andrews, UK Von Welch, Indiana University, US Remarks All submitted abstracts will be reviewed by the ISGC program committee and track conveners. Authors will receive notification of acceptance in the week of 9 December 2019. For any further questions, please contact the Secretariat. Ms. Stella Shen (stella.shen(a)twgrid.org<mailto:stella.shen@twgrid.org>) Ms. Vicky Huang (vic(a)twgrid.org)<mailto:vic@twgrid.org> Tel: +886-2-2789-8375 Fax: +886-2-2783-5434 Sincerely, ISGC Secretariat Academia Sinica Grid Computing Centre (ASGC) Taipei, Taiwan _______________________________________________

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Call for Abstract - ISGC 2020 (8-13 March, 2020)
by Sill, Alan 26 Aug '19

26 Aug '19

Please take note of this long-standing and high quality conference, updated with a fresh theme for this year: Challenges in High Performance Data Analytics: Combining Approaches in HPC, HTC, Big Data and AI Begin forwarded message: From: Vicky Huang - TWGrid <vic(a)twgrid.org<mailto:vic@twgrid.org>> Subject: [ASGC] Call for Abstract - ISGC 2020 (8-13 March, 2020) Date: August 26, 2019 at 1:39:27 AM CDT To: Vicky Huang <vic(a)twgrid.org<mailto:vic@twgrid.org>> [Apologize if you receive multiple postings] CALL for PARTICIPATION / ABSTRACTS International Symposium on Grids and Clouds (ISGC) 2020<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevent.twgr…> 8 ~ 13 March 2020, Academia Sinica, Taipei, Taiwan Call for Abstracts (Talks & Posters) • On-line Submission: https://indico4.twgrid.org/indico/event/11/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.t…> • Submission Deadline: Monday, 7 October 2019 (12 August – 7 October) • Abstract Word Limit: 400 (minimum)～600 (maximum) words • Acceptance Notification to Authors: Friday, 29 November 2019 • Conference Website: http://event.twgrid.org/isgc2020/<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevent.twgr…> Challenges in High Performance Data Analytics: Combining Approaches in HPC, HTC, Big Data and AI While the research data are becoming a real asset nowadays, it is an information and knowledge gained through thorough analysis that makes them so valuable. To process vast amounts of data collected, novel high performance data analytics methods and tools are needed, combining classical simulation oriented approaches, big data processing and advanced AI methods. Such a combination is not straightforward and needs novel insights at all levels of the computing environment – from the network and hardware fabrics through the operating systems and middleware to the platforms and software, not forgetting the security – to support data oriented research. Challenging use cases that apply difficult scientific problems are necessary to properly drive the evolution and also to validate such high performance data analytics environments. The goal of ISGC 2020 is to create a face-to-face venue where individual communities and national representatives can present and share their contributions to the global puzzle and contribute thus to the solution of global challenges. We cordially invite and welcome your participation! Topics of Interest: 1. Applications and results from the Virtual Research Communities and Industry (1) Physics (including HEP) and Engineering Applications Submissions should report on experience with physics and engineering applications that exploit grid and cloud computing services, applications that are planned or under development, or application tools and methodologies. Topics of interest include: (1) End-user data analysis including ML/DL based one; (2) Management of distributed data; (3) Applications level monitoring; (4) Performance analysis and system tuning; (5) Workload scheduling; (6) Management of an experimental collaboration as a virtual organization; (7) Comparison between grid and other distributed computing paradigms as enablers of physics data handling and analysis; (8) Expectations for the evolution of computing models drawn from recent experience handling extremely large and geographically diverse datasets; and (9) Application software development, optimization and benchmarking. (2) Biomedicine & Life Sciences Applications During the last decade, research in Biomedicine and Life Sciences has dramatically changed thanks to the continuous developments in High Performance Computing and highly Distributed Computing Infrastructures such as grids and clouds, but also in big-data solutions to deal with the explosion in genomic data. This track aims at discussing problems, solutions and application examples related to this area of research, with a particular focus on non-technical end users. Submissions should concentrate on practical applications and solutions in the fields of Biomedicine and Life Sciences, such as Drug discovery, Structural biology, Bioinformatics, Medical imaging, Public health applications / infrastructures, High throughput (grid and cloud-based) data processing/analysis, Distributed data computing and services, and Big data management issues. Submissions should ideally highlight how the availability and use of Big Data has enabled new processes for or dramatically evolved the scope of their research. (3) Earth & Environmental Sciences & Biodiversity Applications Natural and Environmental sciences are placing an increasing emphasis on the understanding of the Earth as a single, highly complex, coupled system with living and dead organisms. It is well accepted, for example, that the feedback involving oceanic and atmospheric processes can have major consequences for the long-term development of the climate system, which in turn affects biodiversity, natural hazards and can control the development of the cryosphere and lithosphere. Natural disaster mitigation is one of the most critical regional issues in Asia Despite the diversity of environmental sciences, many projects share the same significant challenges. These include the collection of data from multiple distributed sensors (potentially in very remote locations), the management of large low-level data sets, the requirement for metadata fully specifying how, when and where the data were collected, and the post-processing of those low-level data into higher-level data products which need to be presented to scientific users in a concise and intuitive form. This session would in particular address how these challenges are being handled with the aids of e-Science paradigm. (4) Humanities, Arts, and Social Sciences (HASS) Applications Disciplines across the Humanities, Arts and Social Sciences (HASS) have critically engaged with technological innovations such as grid- and cloud computing, and, most recently, various data analytic technologies. The increasing availability of data, ranging from social media text data to consumer big data has led to an increasing interest in analysis methods such as natural language processing, social network analysis, machine learning and text mining. These developments pose challenges as well as opening up opportunities and members of the HASS community have been at the forefront of discussions about the impact that novel forms of data, novel computational infrastructures and novel analytical methods have for the pursuit of science endeavours and our understanding of what science is and can be. The ISGC 2020 HASS track invites papers and presentations covering applications demonstrating the opportunities of new technologies or critically engaging with their methodological implications in the Humanities, Arts and Social Sciences. Innovative application of analytical tools for survey data, social media data, and government (open) data are welcomed. We also invite contributions that critically reflect on the following subjects: (1) the impact that ubiquitous and mobile access to information and communication technologies have for society more generally, especially around topics such as smart cities, civic engagement, and digital journalism; (2) philosophical and methodological reflections on the development of the techniques and the approaches by which data scientists use to pursue knowledge. 2. Technologies that provide access and exploitation of different site resources and infrastructures (5) Virtual Research Environment (including tools, services, workflows, portals, … etc.) Virtual Research Environments (VRE) provide an intuitive, easy-to-use and secure access to (federated) computing resources for solving scientific problems, trying to hide the complexity of the underlying infrastructure, the heterogeneity of the resources, and the interconnecting middleware. Behind the scenes, VREs comprise tools, middleware and portal technologies, workflow automation as well a security solutions for layered and multifaceted applications. Topics of interest include but are not limited to: (1) Real-world experiences building and/or using VREs to gain new scientific knowledge; (2) Middleware technologies, tools, services beyond the state-of-the-art for VREs; (3) Science gateways as specific VRE environments, (4) Innovative technologies to enable VREs on arbitrary devices, including Internet-of-Things; and (5) One-step-ahead workflow integration and automation in VREs. (6) Data Management & Big Data The rapid growth of the data available to scientists and scholars – in terms of Velocity and Variety as well as sheer Volume – is transforming research across disciplines. Increasingly these data sets are generated not just through experiments, but as a byproduct of our day-to-day digital lives. This track explores the consequences of this growth, and encourages submissions relating to two aspects in particular - firstly, the conceptual models and analytical techniques required to process data at scale; secondly, approaches and tools for managing and creating these digital assets throughout their lifecycle. 3. Infrastructure for Research (7) Network, Security, Infrastructure & Operations Networking and the connected e-Infrastructures are becoming ubiquitous. Ensuring the smooth operation and integrity of the services for research communities in a rapidly changing environment are key challenges. This track focuses on the current state of the art and recent advances in these areas: networking, infrastructure, operations, and security. The scope of this track includes advances in high-performance networking (software defined networks, community private networks, the IPv4 to IPv6 transition, cross-domain provisioning), the connected data and compute infrastructures (storage and compute systems architectures, improving service and site reliability, interoperability between infrastructures, data centre models), monitoring tools and metrics, service management (ITIL and SLAs), and infrastructure/systems operations and management. Also included here are issues related to the integrity, reliability, and security of services and data: developments in security middleware, operational security, security policy, federated identity management, and community management. Submissions should address solutions in at least one of these areas. (8) Infrastructure Clouds and Virtualizations This track will focus on the development of cloud infrastructures and on the use of cloud computing and virtualization technologies in large-scale (distributed) computing environments in science and technology. We solicit papers describing underlying virtualization and "cloud" technology including integration of accelerators and support for specific needs of AI/ML and DNN, scientific applications and case studies related to using such technology in large scale infrastructure as well as solutions overcoming challenges and leveraging opportunities in this setting. Of particular interest are results exploring the usability of virtualization and infrastructure clouds from the perspective of machine learning and other scientific applications, the performance, reliability and fault-tolerance of solutions used, and data management issues. Papers dealing with the cost, price, and cloud markets, with security and privacy, as well as portability and standards, are also most welcome. (9) Converging High Performance infrastructures: Supercomputers, clouds, accelerators The classical simulation-oriented computing is nowadays complemented by the novel general machine learning and specifically deep neural networks based approaches. This requires novel approaches to build high performance infrastructures, combining supercomputers, high performance clouds, specialized DNN hardware and other accelerators. An additional challenge lies in the individual components being provided by different owners, usually in a federated distributed way. This track solicits recent research and development achievements and best practices in building and exploiting these converging high performance infrastructures or their components. The topics of interest include, but are not limited to the followings: (1) Building and use of modern high performance computing systems, including special support for AI and DNN in particular; (2) Use of virtualization techniques and containers to support access to and portability across different heterogeneous systems; (3) Experiences, use cases and best practices on the development and operation of large-scale heterogeneous applications; (4) Integration and interoperability to support coordinated federated use of different e-infrastructures (supercomputers, accelerated clouds, …) and their building blocks; (5) Performance of different applications on these integrated high performance infrastructures. Program Committees (In last name alphabetic order) Kento Aida, NII, JP Jim Basney, Univ. of Illinois at Urbana-Champaign. US Daniele Bonacorsi, Univ. of Bologna,, IT Alexandre M.J.J Bonvin, Utrecht Univ., NL Yaning, Arthur Chen, Tamkang Univ., TW Gang Chen, IHEP/ CAS, CN Patrick Fuhrmann, DESY, DE David Groep, Nikhef, NL Mark Hedges, King's College London, UK David Kelsey, STFC-RAL, UK Dieter Kranzlmüller, LMU Munich, DE Yannick Legre, EGI.eu<http://EGI.eu>, NL Simon C. Lin, Academia Sinica, TW Frank Cheng-Shan Liu, NSYSU, TW Satoshi Matsuoka, Tokyo Inst. of Tech, JP Ludek Matyska, CESNET, CZ Glenn Moloney, Univ. of Melbourne, AU Tomoaki Nakamura, KEK, JP Suhaimi Napis, UPM, MY Alan Sill, Texas Tech Univ., US Basuki Suhardiman, ITB, ID Junichi Tanaka, Univ. of Tokyo, JP Andrea Valassi, CERN, CH Alexander Voss, Univ. of St. Andrews, UK Von Welch, Indiana University, US Remarks All submitted abstracts will be reviewed by the ISGC program committee and track conveners. Authors will receive notification of acceptance before 29 November 2019. For any further questions, please contact the Secretariat. Ms. Stella Shen (stella.shen(a)twgrid.org<mailto:stella.shen@twgrid.org>) Ms. Vicky Huang (vic(a)twgrid.org)<mailto:vic@twgrid.org> Tel: +886-2-2789-8375 Fax: +886-2-2783-5434 Sincerely, ISGC Secretariat Academia Sinica Grid Computing Centre (ASGC) Taipei, Taiwan -- Vicky Huang Academia Sinica Grid Computing Centre (ASGC) Rm. P4A-4, 4F, Building of Institute of Physics 128, Sec. 2, Academia Road, Nankang, Taipei, Taiwan 11529 eMail: vic(a)twgrid.org<mailto:vic@twgrid.org> Phone: +886-2-2789-8371 Fax: +886-2-2783-5434

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Fwd: Apply to the StandICT.eu 5th Call today & support ICT Standardisation efforts globally - Deadline 4th March 2019
by Sill, Alan 12 Feb '19

12 Feb '19

The StandICT project is now on its 5th round of calls for applications for financial support for individuals to participate in the standards-setting process through meetings and related relevant activities as described below. If you are based in the EU, please review the program at the link below and consider applying. Note activities could include exploration of promotion of an OGF standard to international status through our existing liaison relationships with ISO/IEC, ITU-T, etc. or participation in ongoing work of these or other standard-setting organizations. Please feel free to contact the project or ask questions regarding this project. Alan Sill, Ph.D Managing Director, High Performance Computing Center Co-Director, NSF Center for Cloud and Autonomic Computing Adjunct Professor of Physics, Texas Tech University President, Open Grid Forum Begin forwarded message: From: Silvana Muscella <s.muscella(a)trust-itservices.com<mailto:s.muscella@trust-itservices.com>> Subject: Apply to the StandICT.eu<http://StandICT.eu> 5th Call today & support ICT Standardisation efforts globally - Deadline 4th March 2019 Date: February 12, 2019 at 1:51:04 AM CST To: "EAG(a)standict.eu<mailto:EAG@standict.eu>" <EAG(a)standict.eu<mailto:EAG@standict.eu>> Dear EAG members, we would be extremely useful if you could send below the text message to your networks along the following lines to send to your networks as we really need to get applications in & especially to the following networks, as indicated in the minutes yesterday- we would be grateful if you could help us on this warm wishes silvana BVDA , ECSO, 5G PPP, AIOTI, Subject: Apply for financial support to your ICT Standards activities & help contribute to the international ICT Standardisation arena Dear XX, We are delighted to offer you or members from your networked community an opportunity to contribute, through a financial grant, offered by the H2020 StandICT.eu<http://StandICT.eu> project “Supporting European Experts Presence in International Standardisation Activities in ICT” which addresses the need for ICT Standardisation and defines a pragmatic approach and streamlined process to reinforce EU expert presence in the international ICT standardisation scene. StandICT.eu<http://StandICT.eu> is currently running its 5th Open Call, with submission deadline on 4th March 2019 @17:00 CET. If you are an active European expert in ICT standards and wish to be financially supported in your activities consider applying through StandICT.eu<http://StandICT.eu>’s series of Open Calls support European specialists to contribute to ongoing standards development activities, and to attend SDO & SSO meetings. Successful applicants can receive funding between €1.000 and €8.000, depending on the submitted proposal type (One-Shot, Short-Term or Long-Term contributions). Further details and how to apply may be found here: https://www.standict.eu/OpenCalls/5th-Open-Call<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.standi…> [cid:part1.27DDC927.3F2DF0D9@trust-itservices.com] -- Download the European Commission Expert Group Report on ' Prompting an EOSC in Practice<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpublicatio…> ' launched on Friday 23 November 2018 as part of the Austrian Presidency of the Council of the European Commission. Final Report: ISBN 978-92-79-94835-0 doi: 10.2777/620195 Silvana Muscella | CEO & Founder Trust-IT Services.com<http://Services.com> M + 39 346 2233822 Twitter: @silvanamuscella<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftwitter.co…>

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[ASGC] ISGC 2019 Submission Deadline Extended to 19 November - Call for Abstracts (Talks & Posters)
by Sill, Alan 05 Nov '18

05 Nov '18

[Apologize if you receive multiple postings] CALL for ABSTRACTS (Talks & Posters) International Symposium on Grids and Clouds (ISGC) 2019 31 March ~ 5 April 2019, Academia Sinica, Taipei, Taiwan Call for Abstracts (Talks & Posters) • On-line Submission: https://indico4.twgrid.org/indico/event/8/<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.tw…> • Submission Deadline: Monday, 19 November 2018 • Abstract Word Limit: 400 (minimum)～600 (maximum) words • Acceptance Notification to Authors: Monday, 17 December 2018 Theme: Efficient and Safe Processing of FAIR Open Data To achieve the full potential of Open Data and Open Science, scientists should be able to focus on their area of interest, and be shielded from the internal complexity of e-infrastructures, and the needs to manually deal with the different data formats, input and output constraints of used tools, the authentication and access control and any other technical or technological obstacles that are still part of the current data processing and analysis environments. This is emphasized by the FAIR concept -- data must be Findable, Accessible, Interoperable and Re-usable. New approaches are emerging, hiding the complexity of the underlying computing and data fabrics, exposing just integrated views through scientific portals and gateways, notebooks and other virtual computing environments that promise to enhance the efficiency of work with advanced and complex contemporary e-infrastructures. On the other hand, possible privacy issues related to the Data collected and new, easy-to-deploy analysis methods like those applying deep neural networks, remind us of the need for proper security tools and environments and create new challenges for dealing with private and sensitive data and derived information. The goal of ISGC 2019 is to create a face-to-face venue where individual communities and national representatives can present and share their contributions to the global puzzle and contribute thus to the solution of global challenges. We cordially invite and welcome your participation! Topics of Interest: 1. Applications and results from the Virtual Research Communities and Industry (1) Physics (including HEP) and Engineering Applications Submissions should report on experience with physics and engineering applications that exploit grid and cloud computing services, applications that are planned or under development, or application tools and methodologies. Topics of interest include: (1) End-user data analysis; (2) Management of distributed data; (3) Applications level monitoring; (4) Performance analysis and system tuning; (5) Workload scheduling; (6) Management of an experimental collaboration as a virtual organization; (7) Comparison between grid and other distributed computing paradigms as enablers of physics data handling and analysis; (8) Expectations for the evolution of computing models drawn from recent experience handling extremely large and geographically diverse datasets. (2) Biomedicine & Life Sciences Applications During the last decade, research in Biomedicine and Life Sciences has dramatically changed thanks to the continuous developments in High Performance Computing and highly Distributed Computing Infrastructures such as grids and clouds, but also in big-data solutions to deal with the explosion in genomic data. This track aims at discussing problems, solutions and application examples related to this area of research, with a particular focus on non-technical end users. Submissions should concentrate on practical applications and solutions in the fields of Biomedicine and Life Sciences, such as Drug discovery, Structural biology, Bioinformatics, Medical imaging, Public health applications / infrastructures, High throughput (grid and cloud-based) data processing/analysis, Distributed data computing and services, and Big data management issues. Submissions should ideally highlight how the availability and use of Big Data has enabled new processes for or dramatically evolved the scope of their research. (3) Earth & Environmental Sciences & Biodiversity Applications Natural and Environmental sciences are placing an increasing emphasis on the understanding of the Earth as a single, highly complex, coupled system with living and dead organisms. It is well accepted, for example, that the feedback involving oceanic and atmospheric processes can have major consequences for the long-term development of the climate system, which in turn affects biodiversity, natural hazards and can control the development of the cryosphere and lithosphere. Natural disaster mitigation is one of the most critical regional issues in Asia Despite the diversity of environmental sciences, many projects share the same significant challenges. These include the collection of data from multiple distributed sensors (potentially in very remote locations), the management of large low-level data sets, the requirement for metadata fully specifying how, when and where the data were collected, and the post-processing of those low-level data into higher-level data products which need to be presented to scientific users in a concise and intuitive form. This session would in particular address how these challenges are being handled with the aids of e-Science paradigm. (4) Humanities, Arts, and Social Sciences (HASS) Applications Disciplines across the Humanities, Arts and Social Sciences (HASS) have critically engaged with technological innovations such as grid- and cloud computing, and, most recently, various data analytic technologies. The increasing availability of 'born digital' data has led to an increasing interest in analysis methods such as natural language processing, social network analysis, machine learning and text mining. These developments pose challenges as well as opening up opportunities and members of the HASS Disciplines across the Humanities, Arts and Social Sciences (HASS) have critically engaged with technological innovations across various data formats. The increasing availability of data, ranging from social media text data to consumer big data has led to an increasing interest in analysis methods such as natural language processing, social network analysis, machine learning and text mining. These developments pose challenges as well as opening up opportunities and members of the HASS community have been at the forefront of discussions about the impact that novel forms of data, novel computational infrastructures and novel analytical methods have for the pursuit of science endeavours and our understanding of what science is and can be. The ISGC 2019 HASS track invites papers and presentations covering applications demonstrating the opportunities of new technologies or critically engaging with their methodological implications in the Humanities, Arts and Social Sciences. Innovative application of analytical tools for survey data, social media data, and government (open) data are welcomed. We also invite contributions that critically reflect on the following subjects: (1) the impact that ubiquitous and mobile access to information and communication technologies have for society more generally, especially around topics such as smart cities, civic engagement, and digital journalism; (2) philosophical and methodological reflections on the development of the techniques and the approaches by which data scientists use to pursue knowledge. 2. Technologies that provide access and exploitation of different site resources and infrastructures (5) Virtual Research Environment (including Middleware, tools, services, workflow, … etc.) Virtual Research Environments (VRE) provide an intuitive, easy-to-use and secure access to federated computing resources for solving scientific problems, trying to hide the complexity of the underlying infrastructure, the heterogeneity of the resources, and the interconnecting middleware. Behind the scenes, VREs comprise tools, middleware and portal technologies, workflow automation as well a security solutions for layered and multifaceted applications. Topics of interest include but are not limited to: (1) Real-world experiences building and/or using VREs to gain new scientific knowledge; (2) Middleware technologies, tools, services beyond the state-of-the-art for VREs; (3) Innovative technologies to enable VREs on arbitrary devices, including Internet-of-Things; and (4) One-step-ahead workflow integration and automation in VREs. (6) Data Management & Big Data The rapid growth of the data available to scientists and scholars – in terms of Velocity and Variety as well as sheer Volume – is transforming research across disciplines. Increasingly these data sets are generated not just through experiments, but as a byproduct of our day-to-day digital lives. This track explores the consequences of this growth, and encourages submissions relating to two aspects in particular: firstly, the conceptual models and analytical techniques required to process data at scale; secondly, approaches approaches and tools for managing and creating these digital assets throughout their lifecycle. 3. Infrastructure for Research (7) Network, Security, Infrastructure & Operations Networking and the connected e-Infrastructures are becoming ubiquitous. Ensuring the smooth operation and integrity of the services for research communities in a rapidly changing environment are key challenges. This track focuses on the current state of the art and recent advances in these areas: networking, infrastructure, operations, and security. The scope of this track includes advances in high-performance networking (software defined networks, community private networks, the IPv4 to IPv6 transition, cross-domain provisioning), the connected data and compute infrastructures (storage and compute systems architectures, improving service and site reliability, interoperability between infrastructures, data centre models), monitoring tools and metrics, service management (ITIL and SLAs), and infrastructure/systems operations and management. Also included here are issues related to the integrity, reliability, and security of services and data: developments in security middleware, operational security, security policy, federated identity management, and community management. Submissions should address solutions in at least one of these areas. (8) Infrastructure Clouds and Virtualisation This track will focus on the use of cloud computing, mainly but not exclusively Infrastructure-as-a-Service (IaaS) and virtualization technologies in large-scale distributed computing environments in science and technology. We solicit papers describing underlying virtualization and "cloud" technology, scientific applications and case studies related to using such technology in large scale infrastructure as well as solutions overcoming challenges and leveraging opportunities in this setting. Of particular interest are results exploring usability of virtualization and infrastructure clouds from the perspective of scientific applications, the performance, reliability and fault-tolerance of solutions used, data management issues. Papers dealing with the cost, price, and cloud markets, with security and privacy, as well as portability and standards, are also most welcome. (9) Science Gateways, Volunteer Computing, Shared Resources and the Long Tail of Science This track welcomes contributions dealing with technologies, concepts and applications that support management of and easy access to very large distributed systems, desktop grids and resources provided through volunteer (non-guaranteed) computing. Special focus will be on support of the long tail of science, making the ad hoc provided resources available to small teams or even individual researchers. Science gateways and other kinds of portals, specific interfaces to connect and use the systems, but also new ways to contribute and to combine volunteered and institutional computing resources are expected. The topics cover new technologies of related software frameworks, recent application developments, as well as infrastructure operation and user support techniques. Special focus will be on the (1) Interoperability with other and integration in other e-infrastructures, esp. via Science gateways and other kinds of portals (2) Data management and (3) Quality of service in such environments (4) Novel uses of volunteer computing and Desktop Grid (5) Best practices and (social) impacts. (10) Supercomputing, High Throughput Computing, Accelerator Technologies, and their Integration There is a growing availability of powerful computing resources using a combination of general purpose, accelerators, GPGPUs and many-core processors, available through public grids (e.g., EGI and OSG) and public/private clouds (e.g., Amazon EC2), as well as through coordinated access to supercomputing resources (e.g. PRACE). Using, accessing, aggregating and managing these High Performance and High Throughput Computing (HPTC) infrastructures, whose components are under control by different resource providers, is still quite challenging. This session solicits recent research and development achievements and best practices in exploiting these computing resources available around the world. The topics of interest include, but are not limited to the followings: (1) Use of virtualization techniques (including containers) to support access to and portability across different heterogeneous (HPTC) systems (2) Delivery of and access to heterogeneous HPTC resources through grid and cloud computing (as a Service models) (3) Experiences, use cases and best practices on the development and operation of large-scale HPTC applications (4) Integration and interoperability to support coordinated federated use of different HPTC e-infrastructures (5) Robustness and reliability of HPTC applications and systems over a long-time scale (6) Performance on HPTC resources of applications developed for more traditional architectures. Program Committees (In last name alphabetic order) Kento Aida, NII, JP Daniele Bonacorsi, Univ. of Bologna,, IT Alexandre M.J.J Bonvin, Utrecht Univ., NL Yaning, Arthur Chen, Tamkang Univ., TW Gang Chen, IHEP/ CAS, CN Patrick Fuhrmann, DESY, DE David Groep, Nikhef, NL Mark Hedges, King's College London, UK David Kelsey, STFC-RAL, UK Dieter Kranzlmüller, LMU Munich, DE Yannick Legre, EGI.eu<http://EGI.eu>, NL Simon C. Lin, Academia Sinica, TW Frank Cheng-Shan Liu, NSYSU, TW Satoshi Matsuoka, Tokyo Inst. of Tech, JP Ludek Matyska, CESNET, CZ Glenn Moloney, Univ. of Melbourne, AU Tomoaki Nakamura, KEK, JP Suhaimi Napis, UPM, MY Alan Sill, Texas Tech Univ., US Basuki Suhardiman, ITB, ID Junichi Tanaka, Univ. of Tokyo, JP Andrea Valassi, CERN, CH Alexander Voss, Univ. of St. Andrews, UK Remarks All submitted abstracts will be reviewed by the ISGC program committee and track conveners. Authors will receive notification of acceptance before 17 December 2018. For any further questions, please contact the Secretariat. Ms. Stella Shen Email: stella.shen(a)twgrid.org<mailto:stella.shen@twgrid.org> Tel: +886-2-2789-8375<tel:+886-2-2789-8375> Fax: +886-2-2783-5434<tel:+886-2-2783-5434> Ms. Vicky Huang Email: vic(a)twgrid.org<mailto:vic@twgrid.org> Tel: +886-2-2789-8375<tel:+886-2-2789-8375> Fax: +886-2-2783-5434<tel:+886-2-2783-5434> Sincerely, ISGC Secretariat Academia Sinica Grid Computing Centre (ASGC) Taipei, Taiwan -- Vicky Huang Academia Sinica Grid Computing Centre (ASGC) Rm. P4A-4, 4F, Building of Institute of Physics 128, Sec. 2, Academia Road, Nankang, Taipei, Taiwan 11529 eMail: vic(a)twgrid.org<mailto:vic@twgrid.org> Phone: +886-2-2789-8371<tel:+886-2-2789-8371> Fax: +886-2-2783-5434<tel:+886-2-2783-5434> _______________________________________________ Asgcpressrelease mailing list Asgcpressrelease(a)lists.grid.sinica.edu.tw<mailto:Asgcpressrelease@lists.grid.sinica.edu.tw> https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Flists.grid.…

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Fwd: [ASGC] TWO weeks before Deadline (05 Nov.) - ISGC 2019
by Sill, Alan 29 Oct '18

29 Oct '18

Dear OGF colleagues, Please consider attending and submitting your work to the ISGC as detailed below. This is a long-standing conference covering a broad range of topics and is always a valuable experience for all who attend. OGF will be happy to pursue arrangements with the organizers to accommodate any OGF working groups or community groups who would like to meet there. Please peruse the program areas listed below and plan to participate if at all possible. Alan Sill Begin forwarded message: From: Vicky Huang - TWGrid <vic(a)twgrid.org<mailto:vic@twgrid.org>> Date: October 21, 2018 at 10:33:08 PM CDT To: Vicky Huang <vic(a)twgrid.org<mailto:vic@twgrid.org>> Subject: [ASGC] TWO weeks before Deadline (05 Nov.) - ISGC 2019 [Apologize if you receive multiple postings] CALL for ABSTRACTS International Symposium on Grids and Clouds (ISGC) 2019 31 March ~ 5 April 2019, Academia Sinica, Taipei, Taiwan Call for Abstracts • On-line Submission: https://indico4.twgrid.org/indico/event/8/<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.tw…> • Submission Deadline: Monday, 5 November 2018 • Abstract Word Limit: 400 (minimum)～600 (maximum) words • Acceptance Notification to Authors: Wednesday, 12 December 2018 Theme: Efficient and Safe Processing of FAIR Open Data To achieve the full potential of Open Data and Open Science, scientists should be able to focus on their area of interest, and be shielded from the internal complexity of e-infrastructures, and the needs to manually deal with the different data formats, input and output constraints of used tools, the authentication and access control and any other technical or technological obstacles that are still part of the current data processing and analysis environments. This is emphasized by the FAIR concept -- data must be Findable, Accessible, Interoperable and Re-usable. New approaches are emerging, hiding the complexity of the underlying computing and data fabrics, exposing just integrated views through scientific portals and gateways, notebooks and other virtual computing environments that promise to enhance the efficiency of work with advanced and complex contemporary e-infrastructures. On the other hand, possible privacy issues related to the Data collected and new, easy-to-deploy analysis methods like those applying deep neural networks, remind us of the need for proper security tools and environments and create new challenges for dealing with private and sensitive data and derived information. The goal of ISGC 2019 is to create a face-to-face venue where individual communities and national representatives can present and share their contributions to the global puzzle and contribute thus to the solution of global challenges. We cordially invite and welcome your participation! Topics of Interest: 1. Applications and results from the Virtual Research Communities and Industry (1) Physics (including HEP) and Engineering Applications Submissions should report on experience with physics and engineering applications that exploit grid and cloud computing services, applications that are planned or under development, or application tools and methodologies. Topics of interest include: (1) End-user data analysis; (2) Management of distributed data; (3) Applications level monitoring; (4) Performance analysis and system tuning; (5) Workload scheduling; (6) Management of an experimental collaboration as a virtual organization; (7) Comparison between grid and other distributed computing paradigms as enablers of physics data handling and analysis; (8) Expectations for the evolution of computing models drawn from recent experience handling extremely large and geographically diverse datasets. (2) Biomedicine & Life Sciences Applications During the last decade, research in Biomedicine and Life Sciences has dramatically changed thanks to the continuous developments in High Performance Computing and highly Distributed Computing Infrastructures such as grids and clouds, but also in big-data solutions to deal with the explosion in genomic data. This track aims at discussing problems, solutions and application examples related to this area of research, with a particular focus on non-technical end users. Submissions should concentrate on practical applications and solutions in the fields of Biomedicine and Life Sciences, such as Drug discovery, Structural biology, Bioinformatics, Medical imaging, Public health applications / infrastructures, High throughput (grid and cloud-based) data processing/analysis, Distributed data computing and services, and Big data management issues.Submissions should ideally highlight how the availability and use of Big Data has enabled new processes for or dramatically evolved the scope of their research. (3) Earth & Environmental Sciences & Biodiversity Applications Natural and Environmental sciences are placing an increasing emphasis on the understanding of the Earth as a single, highly complex, coupled system with living and dead organisms. It is well accepted, for example, that the feedback involving oceanic and atmospheric processes can have major consequences for the long-term development of the climate system, which in turn affects biodiversity, natural hazards and can control the development of the cryosphere and lithosphere. Natural disaster mitigation is one of the most critical regional issues in Asia Despite the diversity of environmental sciences, many projects share the same significant challenges. These include the collection of data from multiple distributed sensors (potentially in very remote locations), the management of large low-level data sets, the requirement for metadata fully specifying how, when and where the data were collected, and the post-processing of those low-level data into higher-level data products which need to be presented to scientific users in a concise and intuitive form. This session would in particular address how these challenges are being handled with the aids of e-Science paradigm. (4) Humanities, Arts, and Social Sciences (HASS) Applications Disciplines across the Humanities, Arts and Social Sciences (HASS) have critically engaged with technological innovations such as grid- and cloud computing, and, most recently, various data analytic technologies. The increasing availability of 'born digital' data has led to an increasing interest in analysis methods such as natural language processing, social network analysis, machine learning and text mining. These developments pose challenges as well as opening up opportunities and members of the HASS Disciplines across the Humanities, Arts and Social Sciences (HASS) have critically engaged with technological innovations across various data formats. The increasing availability of data, ranging from social media text data to consumer big data has led to an increasing interest in analysis methods such as natural language processing, social network analysis, machine learning and text mining. These developments pose challenges as well as opening up opportunities and members of the HASS community have been at the forefront of discussions about the impact that novel forms of data, novel computational infrastructures and novel analytical methods have for the pursuit of science endeavours and our understanding of what science is and can be. The ISGC 2019 HASS track invites papers and presentations covering applications demonstrating the opportunities of new technologies or critically engaging with their methodological implications in the Humanities, Arts and Social Sciences. Innovative application of analytical tools for survey data, social media data, and government (open) data are welcomed. We also invite contributions that critically reflect on the following subjects: (1) the impact that ubiquitous and mobile access to information and communication technologies have for society more generally, especially around topics such as smart cities, civic engagement, and digital journalism; (2) philosophical and methodological reflections on the development of the techniques and the approaches by which data scientists use to pursue knowledge. 2. Technologies that provide access and exploitation of different site resources and infrastructures (5) Virtual Research Environment (including Middleware, tools, services, workflow, … etc.) Virtual Research Environments (VRE) provide an intuitive, easy-to-use and secure access to federated computing resources for solving scientific problems, trying to hide the complexity of the underlying infrastructure, the heterogeneity of the resources, and the interconnecting middleware. Behind the scenes, VREs comprise tools, middleware and portal technologies, workflow automation as well a security solutions for layered and multifaceted applications. Topics of interest include but are not limited to: (1) Real-world experiences building and/or using VREs to gain new scientific knowledge; (2) Middleware technologies, tools, services beyond the state-of-the-art for VREs; (3) Innovative technologies to enable VREs on arbitrary devices, including Internet-of-Things; and (4) One-step-ahead workflow integration and automation in VREs. (6) Data Management & Big Data The rapid growth of the data available to scientists and scholars – in terms of Velocity and Variety as well as sheer Volume – is transforming research across disciplines. Increasingly these data sets are generated not just through experiments, but as a byproduct of our day-to-day digital lives. This track explores the consequences of this growth, and encourages submissions relating to two aspects in particular: firstly, the conceptual models and analytical techniques required to process data at scale; secondly, approaches approaches and tools for managing and creating these digital assets throughout their lifecycle. 3. Infrastructure for Research (7) Network, Security, Infrastructure & Operations Networking and the connected e-Infrastructures are becoming ubiquitous. Ensuring the smooth operation and integrity of the services for research communities in a rapidly changing environment are key challenges. This track focuses on the current state of the art and recent advances in these areas: networking, infrastructure, operations, and security. The scope of this track includes advances in high-performance networking (software defined networks, community private networks, the IPv4 to IPv6 transition, cross-domain provisioning), the connected data and compute infrastructures (storage and compute systems architectures, improving service and site reliability, interoperability between infrastructures, data centre models), monitoring tools and metrics, service management (ITIL and SLAs), and infrastructure/systems operations and management. Also included here are issues related to the integrity, reliability, and security of services and data: developments in security middleware, operational security, security policy, federated identity management, and community management. Submissions should address solutions in at least one of these areas. (8) Infrastructure Clouds and Virtualisation This track will focus on the use of cloud computing, mainly but not exclusively Infrastructure-as-a-Service (IaaS) and virtualization technologies in large-scale distributed computing environments in science and technology. We solicit papers describing underlying virtualization and "cloud" technology, scientific applications and case studies related to using such technology in large scale infrastructure as well as solutions overcoming challenges and leveraging opportunities in this setting. Of particular interest are results exploring usability of virtualization and infrastructure clouds from the perspective of scientific applications, the performance, reliability and fault-tolerance of solutions used, data management issues. Papers dealing with the cost, price, and cloud markets, with security and privacy, as well as portability and standards, are also most welcome. (9) Science Gateways, Volunteer Computing, Shared Resources and the Long Tail of Science This track welcomes contributions dealing with technologies, concepts and applications that support management of and easy access to very large distributed systems, desktop grids and resources provided through volunteer (unguaranteed) computing. Special focus will be on support of the long tail of science, making the ad hoc provided resources available to small teams or even individual researchers. Science gateways and other kinds of portals, specific interfaces to connect and use the systems, but also new ways to contribute and to combine volunteered and institutional computing resources are expected. The topics cover new technologies of related software frameworks, recent application developments, as well as infrastructure operation and user support techniques. Special focus will be on the (1) Interoperability with other and integration in other e-infrastructures, esp. via Science gateways and other kinds of portals (2) Data management and (3) Quality of service in such environments (4) Novel uses of volunteer computing and Desktop Grid (5) Best practices and (social) impacts. (10) Supercomputing, High Throughput Computing, Accelerator Technologies, and their Integration There is a growing availability of powerful computing resources using a combination of general purpose, accelerators, GPGPUs and many-core processors, available through public grids (e.g., EGI and OSG) and public/private clouds (e.g., Amazon EC2), as well as through coordinated access to supercomputing resources (e.g. PRACE). Using, accessing, aggregating and managing these High Performance and High Throughput Computing (HPTC) infrastructures, whose components are under control by different resource providers, is still quite challenging. This session solicits recent research and development achievements and best practices in exploiting these computing resources available around the world. The topics of interest include, but are not limited to the followings: (1) Use of virtualization techniques (including containers) to support access to and portability across different heterogeneous (HPTC) systems (2) Delivery of and access to heterogeneous HPTC resources through grid and cloud computing (as a Service models) (3) Experiences, use cases and best practices on the development and operation of large-scale HPTC applications (4) Integration and interoperability to support coordinated federated use of different HPTC e-infrastructures (5) Robustness and reliability of HPTC applications and systems over a long-time scale (6) Performance on HPTC resources of applications developed for more traditional architectures. Program Committees (In last name alphabetic order) Kento Aida, NII, JP Daniele Bonacorsi, Univ. of Bologna,, IT Alexandre M.J.J Bonvin, Utrecht Univ., NL Yaning, Arthur Chen, Tamkang Univ., TW Gang Chen, IHEP/ CAS, CN Patrick Fuhrmann, DESY, DE David Groep, Nikhef, NL Mark Hedges, King's College London, UK David Kelsey, STFC-RAL, UK Dieter Kranzlmüller, LMU Munich, DE Yannick Legre, EGI.eu<http://EGI.eu>, NL Simon C. Lin, Academia Sinica, TW Frank Cheng-Shan Liu, NSYSU, TW Satoshi Matsuoka, Tokyo Inst. of Tech, JP Ludek Matyska, CESNET, CZ Glenn Moloney, Univ. of Melbourne, AU Tomoaki Nakamura, KEK, JP Suhaimi Napis, UPM, MY Alan Sill, Texas Tech Univ., US Basuki Suhardiman, ITB, ID Junichi Tanaka, Univ. of Tokyo, JP Andrea Valassi, CERN, CH Alexander Voss, Univ. of St. Andrews, UK Remarks All submitted abstracts will be reviewed by the ISGC program committee and track conveners. Authors will receive notification of acceptance before 12 December 2018. For any further questions, please contact the Secretariat. Ms. Stella Shen Email: stella.shen(a)twgrid.org<mailto:stella.shen@twgrid.org> Tel: +886-2-2789-8375<tel:+886-2-2789-8375> Fax: +886-2-2783-5434<tel:+886-2-2783-5434> Ms. Vicky Huang Email: vic(a)twgrid.org<mailto:vic@twgrid.org> Sincerely, ISGC Secretariat Academia Sinica Grid Computing Centre (ASGC) Taipei, Taiwan _______________________________________________ Asgcpressrelease mailing list Asgcpressrelease(a)lists.grid.sinica.edu.tw<mailto:Asgcpressrelease@lists.grid.sinica.edu.tw> https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Flists.grid.…

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US NIST SP 1800-14 (DRAFT), Protecting Integrity of Internet Routing: BGP Route Origin Validation
by Sill, Alan 12 Oct '18

12 Oct '18

Dear OGF working groups, THE US National Institute of Standards and Technology (NIST) has invited comments on a draft special publication entitled "Protecting the Integrity of Internet Routing: Border Gateway Protocol (BGP) Route Origin Validation” that could have some impact for our community. In response, Jens Jensen, our OGF VP of Standards, has asked the members of our NSI group to loo this over and comment. If you have comments or questions on this, I would like to encourage you to either contact the NSI group through our OGF Area Director for Infrastructure Richard Hughes-Jones (cc’ed), or submit your comments directly to NIST. We would be happy to hear of any other discussions related to this or related topics that could bear on the activities of our community, viewed largely as NRENn, universities, national lab-based large-scale computing and networking. Please visit the link below for more information on this document. Link: https://csrc.nist.gov/publications/detail/sp/1800-14/draft Alan

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Reminder: NSI Connection Service v2.1 document in public comment until October 30 2018 - Public Comments - Open Grid Forum
by Sill, Alan 04 Oct '18

04 Oct '18

As a reminder, the NSI Connection Service document v 2.1 is in public comment until October 30 2018 in the OGF Redmine Editor public comments page, or directly at https://redmine.ogf.org/boards/41/topics/500 This document describes the Connection Service v2.1, which is one of a suite of services that make up the Network Service Interface (NSI). The NSI is a web-service based protocol that operates between a requester software agent and a provider software agent. The full suite of NSI services allows an application or network provider to request and manage circuit service instances. Apart from the Connection Service, this includes the Document Distribution Service, which allows NSI documents such as the NSI Topology and the NSA Description to be shared among participating NSI agents. The complete set of NSI services is described in the Network Services Framework v2.0. This Connection Service document describes the protocol, state machine, architecture and associated processes and environment in which software agents interact to deliver a Connection. A Connection is a point-to-point network circuit that can transit multiple networks belonging to different providers. Comments from the community would be helpful, even to note that the document is complete and well formed. (Of course, more substantial and critical comments are also welcome).

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ISGC 2019 - Call for Abstract (Deadline: 5 November, 2018)
by Sill, Alan 10 Sep '18

10 Sep '18

Per our long-standing relationship between OGF and the ISGC, please see the call for participation and abstracts below. Begin forwarded message: From: Vicky Huang - TWGrid <vic(a)twgrid.org<mailto:vic@twgrid.org>> Subject: [ASGC] ISGC 2019 - Call for Abstract (Deadline: 5 November, 2018) Date: September 10, 2018 at 3:32:21 AM CDT To: undisclosed-recipients:; [cid:4ee6787b-6023-45e2-8f9b-79c20c7bdc9b@namprd06.prod.outlook.com] [Apologize if you receive multiple postings] [PDF with detail content is attached] CALL for PARTICIPATION / ABSTRACTS International Symposium on Grids and Clouds (ISGC) 2019 31 March ~ 5 April 2019, Academia Sinica, Taipei, Taiwan Call for Abstracts • On-line Submission: https://indico4.twgrid.org/indico/event/8/<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.tw…> • Submission Deadline: Monday, 5 November 2018 • Abstract Word Limit: 400 (minimum)～600 (maximum) words • Acceptance Notification to Authors: Wednesday, 12 December 2018 Theme: Efficient and Safe Processing of FAIR Open Date To achieve the full potential of Open Data and Open Science, scientists should be able to focus on their area of interest, and be shielded from the internal complexity of e-infrastructures, and the needs to manually deal with the different data formats, input and output constraints of used tools, the authentication and access control and any other technical or technological obstacles that are still part of the current data processing and analysis environments. This is emphasized by the FAIR concept -- data must be Findable, Accessible, Interoperable and Re-usable. New approaches are emerging, hiding the complexity of the underlying computing and data fabrics, exposing just integrated views through scientific portals and gateways, notebooks and other virtual computing environments that promise to enhance the efficiency of work with advanced and complex contemporary e-infrastructures. On the other hand, possible privacy issues related to the Data collected and new, easy-to-deploy analysis methods like those applying deep neural networks, remind us of the need for proper security tools and environments and create new challenges for dealing with private and sensitive data and derived information. The goal of ISGC 2019 is to create a face-to-face venue where individual communities and national representatives can present and share their contributions to the global puzzle and contribute thus to the solution of global challenges. We cordially invite and welcome your participation! Topics of Interest: 1. Applications and results from the Virtual Research Communities and Industry (1) Physics (including HEP) and Engineering Applications Submissions should report on experience with physics and engineering applications that exploit grid and cloud computing services, applications that are planned or under development, or application tools and methodologies. Topics of interest include: (1) End-user data analysis; (2) Management of distributed data; (3) Applications level monitoring; (4) Performance analysis and system tuning; (5) Workload scheduling; (6) Management of an experimental collaboration as a virtual organization; (7) Comparison between grid and other distributed computing paradigms as enablers of physics data handling and analysis; (8) Expectations for the evolution of computing models drawn from recent experience handling extremely large and geographically diverse datasets. (2) Biomedicine & Life Sciences Applications During the last decade, research in Biomedicine and Life Sciences has dramatically changed thanks to the continuous developments in High Performance Computing and highly Distributed Computing Infrastructures such as grids and clouds, but also in big-data solutions to deal with the explosion in genomic data. This track aims at discussing problems, solutions and application examples related to this area of research, with a particular focus on non-technical end users. Submissions should concentrate on practical applications and solutions in the fields of Biomedicine and Life Sciences, such as Drug discovery, Structural biology, Bioinformatics, Medical imaging, Public health applications / infrastructures, High throughput (grid and cloud-based) data processing/analysis, Distributed data computing and services, and Big data management issues. Submissions should ideally highlight how the availability and use of Big Data has enabled new processes for or dramatically evolved the scope of their research. (3) Earth & Environmental Sciences & Biodiversity Applications Natural and Environmental sciences are placing an increasing emphasis on the understanding of the Earth as a single, highly complex, coupled system with living and dead organisms. It is well accepted, for example, that the feedback involving oceanic and atmospheric processes can have major consequences for the long-term development of the climate system, which in turn affects biodiversity, natural hazards and can control the development of the cryosphere and lithosphere. Natural disaster mitigation is one of the most critical regional issues in Asia Despite the diversity of environmental sciences, many projects share the same significant challenges. These include the collection of data from multiple distributed sensors (potentially in very remote locations), the management of large low-level data sets, the requirement for metadata fully specifying how, when and where the data were collected, and the post-processing of those low-level data into higher-level data products which need to be presented to scientific users in a concise and intuitive form. This session would in particular address how these challenges are being handled with the aids of e-Science paradigm. (4) Humanities, Arts, and Social Sciences (HASS) Applications Disciplines across the Humanities, Arts and Social Sciences (HASS) have critically engaged with technological innovations such as grid- and cloud computing, and, most recently, various data analytic technologies. The increasing availability of 'born digital' data has led to an increasing interest in analysis methods such as natural language processing, social network analysis, machine learning and text mining. These developments pose challenges as well as opening up opportunities and members of the HASS Disciplines across the Humanities, Arts and Social Sciences (HASS) have critically engaged with technological innovations across various data formats. The increasing availability of data, ranging from social media text data to consumer big data has led to an increasing interest in analysis methods such as natural language processing, social network analysis, machine learning and text mining. These developments pose challenges as well as opening up opportunities and members of the HASS community have been at the forefront of discussions about the impact that novel forms of data, novel computational infrastructures and novel analytical methods have for the pursuit of science endeavours and our understanding of what science is and can be. The ISGC 2019 HASS track invites papers and presentations covering applications demonstrating the opportunities of new technologies or critically engaging with their methodological implications in the Humanities, Arts and Social Sciences. Innovative application of analytical tools for survey data, social media data, and government (open) data are welcomed. We also invite contributions that critically reflect on the following subjects: (1) the impact that ubiquitous and mobile access to information and communication technologies have for society more generally, especially around topics such as smart cities, civic engagement, and digital journalism; (2) philosophical and methodological reflections on the development of the techniques and the approaches by which data scientists use to pursue knowledge. 2. Technologies that provide access and exploitation of different site resources and infrastructures (5) Virtual Research Environment (including Middleware, tools, services, workflow, … etc.) Virtual Research Environments (VRE) provide an intuitive, easy-to-use and secure access to federated computing resources for solving scientific problems, trying to hide the complexity of the underlying infrastructure, the heterogeneity of the resources, and the interconnecting middleware. Behind the scenes, VREs comprise tools, middleware and portal technologies, workflow automation as well a security solutions for layered and multifaceted applications. Topics of interest include but are not limited to: (1) Real-world experiences building and/or using VREs to gain new scientific knowledge; (2) Middleware technologies, tools, services beyond the state-of-the-art for VREs; (3) Innovative technologies to enable VREs on arbitrary devices, including Internet-of-Things; and (4) One-step-ahead workflow integration and automation in VREs. (6) Data Management & Big Data The rapid growth of the data available to scientists and scholars – in terms of Velocity and Variety as well as sheer Volume – is transforming research across disciplines. Increasingly these data sets are generated not just through experiments, but as a byproduct of our day-to-day digital lives. This track explores the consequences of this growth, and encourages submissions relating to two aspects in particular: firstly, the conceptual models and analytical techniques required to process data at scale; secondly, approaches approaches and tools for managing and creating these digital assets throughout their lifecycle. 3. Infrastructure for Research (7) Network, Security, Infrastructure & Operations Networking and the connected e-Infrastructures are becoming ubiquitous. Ensuring the smooth operation and integrity of the services for research communities in a rapidly changing environment are key challenges. This track focuses on the current state of the art and recent advances in these areas: networking, infrastructure, operations, and security. The scope of this track includes advances in high-performance networking (software defined networks, community private networks, the IPv4 to IPv6 transition, cross-domain provisioning), the connected data and compute infrastructures (storage and compute systems architectures, improving service and site reliability, interoperability between infrastructures, data centre models), monitoring tools and metrics, service management (ITIL and SLAs), and infrastructure/systems operations and management. Also included here are issues related to the integrity, reliability, and security of services and data: developments in security middleware, operational security, security policy, federated identity management, and community management. Submissions should address solutions in at least one of these areas. (8) Infrastructure Clouds and Virtualisation This track will focus on the use of cloud computing, mainly but not exclusively Infrastructure-as-a-Service (IaaS) and virtualization technologies in large-scale distributed computing environments in science and technology. We solicit papers describing underlying virtualization and "cloud" technology, scientific applications and case studies related to using such technology in large scale infrastructure as well as solutions overcoming challenges and leveraging opportunities in this setting. Of particular interest are results exploring usability of virtualization and infrastructure clouds from the perspective of scientific applications, the performance, reliability and fault-tolerance of solutions used, data management issues. Papers dealing with the cost, price, and cloud markets, with security and privacy, as well as portability and standards, are also most welcome. (9) Science Gateways, Volunteer Computing, Shared Resources and the Long Tail of Science This track welcomes contributions dealing with technologies, concepts and applications that support management of and easy access to very large distributed systems, desktop grids and resources provided through volunteer (unguaranteed) computing. Special focus will be on support of the long tail of science, making the ad hoc provided resources available to small teams or even individual researchers. Science gateways and other kinds of portals, specific interfaces to connect and use the systems, but also new ways to contribute and to combine volunteered and institutional computing resources are expected. The topics cover new technologies of related software frameworks, recent application developments, as well as infrastructure operation and user support techniques. Special focus will be on the (1) Interoperability with other and integration in other e-infrastructures, esp. via Science gateways and other kinds of portals (2) Data management and (3) Quality of service in such environments (4) Novel uses of volunteer computing and Desktop Grid (5) Best practices and (social) impacts. (10) Supercomputing, High Throughput Computing, Accelerator Technologies, and their Integration There is a growing availability of powerful computing resources using a combination of general purpose, accelerators, GPGPUs and many-core processors, available through public grids (e.g., EGI and OSG) and public/private clouds (e.g., Amazon EC2), as well as through coordinated access to supercomputing resources (e.g. PRACE). Using, accessing, aggregating and managing these High Performance and High Throughput Computing (HPTC) infrastructures, whose components are under control by different resource providers, is still quite challenging. This session solicits recent research and development achievements and best practices in exploiting these computing resources available around the world. The topics of interest include, but are not limited to the followings: (1) Use of virtualization techniques (including containers) to support access to and portability across different heterogeneous (HPTC) systems (2) Delivery of and access to heterogeneous HPTC resources through grid and cloud computing (as a Service models) (3) Experiences, use cases and best practices on the development and operation of large-scale HPTC applications (4) Integration and interoperability to support coordinated federated use of different HPTC e-infrastructures (5) Robustness and reliability of HPTC applications and systems over a long-time scale (6) Performance on HPTC resources of applications developed for more traditional architectures. Program Committees (In last name alphabetic order) Kento Aida, NII, JP Daniele Bonacorsi, Univ. of Bologna,, IT Alexandre M.J.J Bonvin, Utrecht Univ., NL Yaning, Arthur Chen, Tamkang Univ., TW Gang Chen, IHEP/ CAS, CN Patrick Fuhrmann, DESY, DE David Groep, Nikhef, NL Mark Hedges, King's College London, UK David Kelsey, STFC-RAL, UK Dieter Kranzlmüller, LMU Munich, DE Yannick Legre, EGI.eu<http://egi.eu/>, NL Simon C. Lin, Academia Sinica, TW Frank Cheng-Shan Liu, NSYSU, TW Satoshi Matsuoka, Tokyo Inst. of Tech, JP Ludek Matyska, CESNET, CZ Glenn Moloney, Univ. of Melbourne, AU Tomoaki Nakamura, KEK, JP Suhaimi Napis, UPM, MY Alan Sill, Texas Tech Univ., US Basuki Suhardiman, ITB, ID Junichi Tanaka, Univ. of Tokyo, JP Andrea Valassi, CERN, CH Alexander Voss, Univ. of St. Andrews, UK Remarks All submitted abstracts will be reviewed by the ISGC program committee and track conveners. Authors will receive notification of acceptance before 12 December 2018. For any further questions, please contact the Secretariat. Ms. Stella Shen Email: stella.shen(a)twgrid.org<mailto:stella.shen@twgrid.org> Tel: +886-2-2789-8375 Fax: +886-2-2783-5434 Ms. Vicky Huang Email: vic(a)twgrid.org<mailto:vic@twgrid.org> Sincerely, ISGC Secretariat Academia Sinica Grid Computing Centre (ASGC) Taipei, Taiwan -- _______________________________________________ Asgcpressrelease mailing list Asgcpressrelease(a)lists.grid.sinica.edu.tw<mailto:Asgcpressrelease@lists.grid.sinica.edu.tw> https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Flists.grid.…

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