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Reminder: Call for Workshop Proposals: 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2021)
by Sill, Alan 17 Apr '21

17 Apr '21

Reminder: Call for Workshop Proposals Submission 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2021) Co-located with 8th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies(BDCAT2021) December 6-9, 2021 Leicester, UK UCC is the premier IEEE/ACM conference covering all areas related to utility computing, cloud and edge computing services, and other forms of advanced distributed computing. UCC provides an international forum for leading researchers and practitioners in this fundamental and growing multidisciplinary area. Proposals for workshops should be submitted in PDF format, must not exceed 2 pages in length and contain the following information. 1. Title and brief technical description of the workshop, specifying the goals and the technical issues that will be the focus of the workshop. 2. A brief description of why and to whom the workshop is of interest. 3. A list of related workshops or similar events held in the last 3 years, or to be held in 2021. 4. The names and contact information (web page, email address) of the proposed technical program committee. This international committee should consist of at least 10 people knowledgeable about the technical issues to be addressed and preferably not more than two members of the same institution. Ideally, there should also be two organizers from distinct institutions and countries. 5. A description of the qualifications of the organizers (who would be the Workshop Chairs) with respect to organizing this workshop. This can include papers published in the proposed topic area, previous workshop organization, and other relevant information. Important Dates Workshop Proposals Due: 25 April 2021 Notification of Acceptance: 10 May 2021 URL of Workshop: 20 May 2021 Camera-ready & Registration: 01 October, 2021 Workshops: December 2021 Workshop proposals and any inquiries should be sent by e-mail to the workshops chairs: Alan Sill: Alan.Sill(a)ttu.edu<mailto:Alan.Sill@ttu.edu> Luiz Bittencourt: bit(a)ic.unicamp.br<mailto:bit@ic.unicamp.br> Note: Workshops may be approved and announced early based on quality of the proposal. We invite you to visit the Call for Workshops page at http://www.ucc-conference.org<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ucc-co…> for more information about workshop chair responsibilities and additional details concerning the workshop proposals submission process.

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Call for Workshop Proposals: 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2021)
by Sill, Alan 08 Apr '21

08 Apr '21

Call for Workshop Proposals Submission 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2021) Co-located with 8th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies(BDCAT2021) December 6-9, 2021 Leicester, UK UCC is the premier IEEE/ACM conference covering all areas related to utility computing, cloud and edge computing services, and other forms of advanced distributed computing. UCC provides an international forum for leading researchers and practitioners in this fundamental and growing multidisciplinary area. Proposals for workshops should be submitted in PDF format, must not exceed 2 pages in length and contain the following information. 1. Title and brief technical description of the workshop, specifying the goals and the technical issues that will be the focus of the workshop. 2. A brief description of why and to whom the workshop is of interest. 3. A list of related workshops or similar events held in the last 3 years, or to be held in 2021. 4. The names and contact information (web page, email address) of the proposed technical program committee. This international committee should consist of at least 10 people knowledgeable about the technical issues to be addressed and preferably not more than two members of the same institution. Ideally, there should also be two organizers from distinct institutions and countries. 5. A description of the qualifications of the organizers (who would be the Workshop Chairs) with respect to organizing this workshop. This can include papers published in the proposed topic area, previous workshop organization, and other relevant information. Important Dates Workshop Proposals Due: 25 April 2021 Notification of Acceptance: 10 May 2021 URL of Workshop: 20 May 2021 Camera-ready & Registration: 01 October, 2021 Workshops: December 2021 Workshop proposals and any inquiries should be sent by e-mail to the workshops chairs: Alan Sill: Alan.Sill(a)ttu.edu<mailto:Alan.Sill@ttu.edu> Luiz Bittencourt: bit(a)ic.unicamp.br<mailto:bit@ic.unicamp.br> Note: Workshops may be approved and announced early based on quality of the proposal. We invite you to visit the Call for Workshops page at http://www.ucc-conference.org for more information about workshop chair responsibilities and additional details concerning the workshop proposals submission process.

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Extension and Reminder: CASC ROI Survey for cloud and on-premises research computing and data facilities and resource support
by Sill, Alan 12 Mar '21

12 Mar '21

Dear OGF and OSG participants: Please take note of the information below. We’ve decided to extend the due date for the CASC survey to next Tuesday, March 16th. As of this afternoon we have received a total of 57 institutional responses, slightly higher than last year, and we would very much like to have as broad as possible a survey sample. Here is the original message inviting your participation: Following up on previous surveys in 2019 and 2020, the Coalition for Academic Scientific Computation (CASC) has launched the third in its series of longitudinal surveys on resource funding and usage for academic research computing and data (RCD). Responding to feedback, the survey coordination group has revised the questions significantly to be less ambiguous and to require less time to complete compared to prior years. We are looking forward to responses from both CASC member institutions and non-CASC institutions, and to receive responses from a wide variety of institutions, if possible world-wide. The preference is to receive at least one authoritative response from each institution to the survey, although individual responses are also acceptable. We would appreciate you working with your colleagues to complete this important survey before the due date of March 9, 2021, and also your assistance in forwarding this message and/or circulating the link to other mailing lists and institutions to get the best possible response. The survey link is https://go.osu.edu/CASCsurvey<https://urldefense.com/v3/__https:/nam04.safelinks.protection.outlook.com/?…> and the results of previous surveys are summarized in an open-access paper at https://dl.acm.org/doi/fullHtml/10.1145/3311790.3396642 for<https://urldefense.com/v3/__https:/nam04.safelinks.protection.outlook.com/?…> your reference and convenience. Please help us distribute this survey widely to obtain the greatest possible response. Thanks! Alan Sill, Ph.D Managing Director, High Performance Computing Center Adjunct Professor of Physics Drane 159, MS 4-1167 Texas Tech University <http://www.hpcc.ttu.edu/>http://www.hpcc.ttu.edu<http://www.hpcc.ttu.edu/> e-mail: Alan.Sill(a)ttu.edu<mailto:Alan.Sill@ttu.edu> ph. 806-834-5940 Co-Director, NSF Center for Cloud and Autonomic Computing https://nsfcac.org<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnsfcac.or…> President, Open Grid Forum https://www.ogf.org<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ogf.o…>

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New document published for DFDL-WG, #240
by Greg Newby 01 Mar '21

01 Mar '21

Dear OGF community, A new document has been published by OGF. All OGF documents may be found here: https://www.ogf.org/ogf/doku.php/documents/documents This document was provided by the Data Format Description Language Working Group (DFDL-WG). *GFD-R-P.240: Data Format Description Language (DFDL) v.1.0 Specification* Authors: Michael J. Beckerle, Owl Cyber Defense/Tresys and Stephen M. Hanson, IBM Abstract: This document provides a definition of a standard Data Format Description Language (DFDL). This language allows description of text, dense binary, and legacy data formats in a vendor-neutral declarative manner. DFDL is an extension to the XML Schema Description Language (XSD). This document obsoletes GFD #207 and GFD #174. - Greg Newby OGF Standards Editor

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Annual CASC survey on resource funding and usage for academic research computing and data
by Sill, Alan 14 Feb '21

14 Feb '21

Dear OGF community members, Following up on previous surveys in 2019 and 2020, the Coalition for Academic Scientific Computation (CASC) has launched the third in its series of longitudinal surveys on resource funding and usage for academic research computing and data (RCD). Responding to feedback, the survey coordination group has revised the questions significantly to be less ambiguous and to require less time to complete compared to prior years. We are looking forward to responses from both CASC member institutions and non-CASC institutions, and to receive responses from a wide variety of institutions, if possible world-wide. The preference is to receive at least one authoritative response from each institution to the survey, although individual responses are also acceptable. We would appreciate you working with your colleagues to complete this important survey before the due date of March 9, 2021, and also your assistance in forwarding this message and/or circulating the link to other mailing lists and institutions to get the best possible response. The survey link is https://go.osu.edu/CASCsurvey and the results of previous surveys are summarized in an open-access paper at https://dl.acm.org/doi/fullHtml/10.1145/3311790.3396642 for your reference and convenience. Please help us distribute this survey widely to obtain the greatest possible response. Thanks! Alan Sill, Ph.D Managing Director, High Performance Computing Center Adjunct Professor of Physics Drane 159, MS 4-1167 Texas Tech University <http://www.hpcc.ttu.edu/>http://www.hpcc.ttu.edu<http://www.hpcc.ttu.edu/> e-mail: Alan.Sill(a)ttu.edu<mailto:Alan.Sill@ttu.edu> ph. 806-834-5940 Co-Director, NSF Center for Cloud and Autonomic Computing https://nsfcac.org<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnsfcac.or…> President, Open Grid Forum https://www.ogf.org<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ogf.o…>

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Fwd: [ASGC] Last Two Days - ISGC 2021 Call for Contribution (CFP) Deadline (15 December 2020)
by Sill, Alan 14 Dec '20

14 Dec '20

Please take note of the 15 December deadline. Begin forwarded message: From: Vicky Huang - TWGrid <vic(a)twgrid.org> Date: December 13, 2020 at 8:39:33 PM CST To: Vicky Huang <vic(a)twgrid.org> Subject: [ASGC] Last Two Days - ISGC 2021 Call for Contribution (CFP) Deadline (15 December 2020) [Apologized if you receive multiple postings] CALL for PARTICIPATION/ ABSTRACTS Virtual International Symposium on Grids and Clouds (ISGC) 2021 22 ~ 26 March 2021, Academia Sinica, Taipei, Taiwan (Virtual Conference) • Event Website & On-line Submission: https://indico4.twgrid.org/indico/event/14/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.t…> • Submission Deadline: Tuesday, 15 December 2020 • Abstract Word Limit: 400 (minimum)～600 (maximum) words • Acceptance Notification to Authors: before End of JANUARY47 2021 On-Line Publication ISGC 2021 will still publish On-line publication. The proceedings of the International Symposium on Grids & Clouds (ISGC 2021) will be published in the open access Proceedings of Science (PoS, http://pos.sissa.it<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fpos.sissa.…>) by SISSA, the International School for Advanced Studies of Trieste. All papers will be free to read and download immediately upon publication. Papers published online will be hosted in PoS electronic journals system and will be fully citable. ISGC 2021 speakers (both invited and those accepted as oral presenters through CFP submission) are encouraged to submit the full-papers of their presentations for online publication by the Proceedings of Science (PoS). 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. 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) Health & Life Sciences (including COVID-19) 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. The recent pandemic caused by Sars-CoV2 has clearly demonstrated the critical role of e-Infrastructures such high performance, high throughput and clouds infrastructure, but also of big-data and machine learning solutions to support the worldwide efforts to fight this pandemic. This track aims at discussing problems, solutions and application examples in the fields of health and life sciences, with a particular focus on non-technical end users. We invite in particular submissions concentrating on COVID-19 applications such as Drug discovery, Vaccine design, Structural biology, Bioinformatics, Medical imaging, Epidemiological studies and other Public health applications. Submissions should ideally highlight how different e-Science/ e-Infrastructure solutions are being applied in response to COVID-19. (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 feedbacks 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 2021 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, community management, and lessons learned from operations during the COVID-19 pandemic. 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 researches and development achievements and best practices in building and exploiting these converging high performance infractures o their components. The topics of interest include, but are not limited to the followings: (1)Building and use of modern high performancecomputing sysmtems, including special support for AI nd 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) integation and interoperability to support coordinated federated use of different e-infrastructures (supercomputers, accelerated clouds, ...etc) 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 Yuan-Hann Chang, Academia Sinica, TW (Co-Chair) 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, CEO XYZ Limited, NL Simon C.Lin, Academia Sinica, TW (Co-Chair) Satoshi Matsuoka, Tokyo Inst. of Tech, JP Ludek Matyska, CESNET, CZ (Chair) 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 Eric Yen, Academia Sinica, TW Remarks All submitted abstracts will be reviewed by the ISGC program committee and track conveners. Authors will receive notification of acceptance before END of January 2021. 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> Sincerely, ISGC Secretariat Academia Sinica Grid Computing Centre (ASGC) Taipei, Taiwan _______________________________________________ Asgcpressrelease mailing list Asgcpressrelease(a)lists.grid.sinica.edu.tw https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Flists.grid…

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[ASGC] ISGC 2021 CFP Deadline -15 December 2020 & News Update
by Sill, Alan 30 Nov '20

30 Nov '20

[Apologies if you receive multiple postings] Dear Friends and Colleagues, We cordially invite and welcome your participation to ISGC 2021 (Full-Virtual Conference), 22-26 March 2021 - Challenges in High Performance Data Analytics: Combining Approaches in HPC, HTC, Big Data & AI! News Update: (On-Line Publication) ISGC 2021 will still publish On-line publication. The proceedings of the International Symposium on Grids & Clouds (ISGC 2021) will be published in the open access Proceedings of Science (PoS, http://pos.sissa.it<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fpos.sissa.…>) by SISSA, the International School for Advanced Studies of Trieste. All papers will be free to read and download immediately upon publication. Papers published online will be hosted in PoS electronic journals system and will be fully citable. ISGC 2021 speakers (both invited and those accepted as oral presenters through CFP submission) are encouraged to submit the full-papers of their presentations for online publication by the Proceedings of Science (PoS). Details of full paper submit related information (such as Author's Manual, Template,...etc.) and submission timelines will be announced later on event website. CALL for PARTICIPATION/ ABSTRACTS International Symposium on Grids and Clouds (ISGC) 2021 22 ~ 26 March 2021, Academia Sinica, Taipei, Taiwan (Virtual Conference) Call for Abstracts • Event Website & On-line Submission: https://indico4.twgrid.org/indico/event/14/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.t…> • Submission Deadline: Tuesday, 15 December 2020 • Abstract Word Limit: 400 (minimum)～600 (maximum) words • Acceptance Notification to Authors: before End of JANUARY47 2021 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. 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) Health & Life Sciences (including COVID-19) 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. The recent pandemic caused by Sars-CoV2 has clearly demonstrated the critical role of e-Infrastructures such high performance, high throughput and clouds infrastructure, but also of big-data and machine learning solutions to support the worldwide efforts to fight this pandemic. This track aims at discussing problems, solutions and application examples in the fields of health and life sciences, with a particular focus on non-technical end users. We invite in particular submissions concentrating on COVID-19 applications such as Drug discovery, Vaccine design, Structural biology, Bioinformatics, Medical imaging, Epidemiological studies and other Public health applications. Submissions should ideally highlight how different e-Science/ e-Infrastructure solutions are being applied in response to COVID-19. (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 feedbacks 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 2021 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, community management, and lessons learned from operations during the COVID-19 pandemic. 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 researches and development achievements and best practices in building and exploiting these converging high performance infractures o their components. The topics of interest include, but are not limited to the followings: (1)Building and use of modern high performancecomputing sysmtems, including special support for AI nd 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) integation and interoperability to support coordinated federated use of different e-infrastructures (supercomputers, accelerated clouds, ...etc) 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 Yuan-Hann Chang, Academia Sinica, TW (Co-Chair) 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, CEO XYZ Limited, NL Simon C.Lin, Academia Sinica, TW (Co-Chair) Satoshi Matsuoka, Tokyo Inst. of Tech, JP Ludek Matyska, CESNET, CZ (Chair) 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 Eric Yen, Academia Sinica, TW Remarks All submitted abstracts will be reviewed by the ISGC program committee and track conveners. Authors will receive notification of acceptance before END of January 2021. 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> 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://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Flists.grid…

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[ASGC] ISGC 2021 CFP Deadline Extension -15 December 2020
by Sill, Alan 18 Nov '20

18 Nov '20

[Apologies if you receive multiple postings] & [Stay well and maintain great energy] Dear Friends and Colleagues, For the first time, ISGC 2021 will be a full virtual conference, (during) the week of 22-26 March 2021. The goal of ISGC has always been to create a face-to-face venue where individuals, communities and project/ national representatives can present and share their accomplishments and contributions to the global puzzles and contribute thus to the solution of global challenges. Even via virtual meetings, we will still make it. We cordially invite and welcome your participation to ISGC 2021, Challenges in High Performance Data Analytics: Combining Approaches in HPC, HTC, Big Data & AI! Abstract Submission: https://indico4.twgrid.org/indico/event/14/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.t…> CALL for PARTICIPATION/ ABSTRACTS International Symposium on Grids and Clouds (ISGC) 2021 22 ~ 26 March 2021, Academia Sinica, Taipei, Taiwan (virtual) Call for Abstracts • Event Website & On-line Submission: https://indico4.twgrid.org/indico/event/14/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Findico4.t…> • NEW Submission Deadline: Tuesday, 15 December 2020 • Abstract Word Limit: 400 (minimum)～600 (maximum) words • Acceptance Notification to Authors: before End of JANUARY 2021 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. 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) Health & Life Sciences (including COVID-19) 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. The recent pandemic caused by Sars-CoV2 has clearly demonstrated the critical role of e-Infrastructures such high performance, high throughput and clouds infrastructure, but also of big-data and machine learning solutions to support the worldwide efforts to fight this pandemic. This track aims at discussing problems, solutions and application examples in the fields of health and life sciences, with a particular focus on non-technical end users. We invite in particular submissions concentrating on COVID-19 applications such as Drug discovery, Vaccine design, Structural biology, Bioinformatics, Medical imaging, Epidemiological studies and other Public health applications. Submissions should ideally highlight how different e-Science/ e-Infrastructure solutions are being applied in response to COVID-19. (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 feedbacks 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 2021 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, community management, and lessons learned from operations during the COVID-19 pandemic. 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 researches and development achievements and best practices in building and exploiting these converging high performance infractures o their components. The topics of interest include, but are not limited to the followings: (1)Building and use of modern high performancecomputing sysmtems, including special support for AI nd 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) integation and interoperability to support coordinated federated use of different e-infrastructures (supercomputers, accelerated clouds, ...etc) 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 Yuan-Hann Chang, Academia Sinica, TW (Co-Chair) 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, CEO XYZ Limited, NL Simon C.Lin, Academia Sinica, TW (Co-Chair) Satoshi Matsuoka, Tokyo Inst. of Tech, JP Ludek Matyska, CESNET, CZ (Chair) 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 Eric Yen, Academia Sinica, TW Remarks All submitted abstracts will be reviewed by the ISGC program committee and track conveners. Authors will receive notification of acceptance before END of January 2021. 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> 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://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Flists.grid…

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New OGF document in public comment: GLUE spec v2.1
by Greg Newby 31 Oct '20

31 Oct '20

Dear OGF Community: One new OGF document is now available for public comment. Please consider reading and providing feedback. Brief affirmations are very useful to demonstrate community input and support. More detailed analysis is, of course, welcome. * GLUE Specification v2.1 <https://redmine.ogf.org/projects/editor-pubcom/boards/43> ( https://redmine.ogf.org/projects/editor-pubcom/boards/43) This is a Recommendation Track document, with a 60-day public comment period. When published, it will obsoletes GFD #147 Abstract: The GLUE specification is an information model for Grid entities described using the natural language and UML Class Diagrams. As a conceptual model, it is designed to be independent from the concrete data models adopted for its implementation. This document defines the GLUE 2.1 model by extending the GLUE 2.0 model to include Cloud resources and services. Rendering to concrete data models such XML Schema, LDAP Schema and SQL are provided in a separate document. Note that public comments are received via the Open Grid Forum Redmine instance. Anyone may register for a Redmine username. - 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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CASC Return on Investment Workshop, Tuesday, October 13, 2020 from 1:00 - 4:00 pm EDT
by Sill, Alan 07 Oct '20

07 Oct '20

Dear colleagues, Please join us on Tuesday, October 13, 2020 from 1:00 - 4:00 pm EDT for an open community workshop meeting on research computing and data ROI-related topics sponsored by the Coalition for Advanced Scientific Computation (CASC). The workshop will be followed by a virtual social hour. The full agenda is available on the CASC website, https://casc.org/event/casc-fall-2020-community/ The goals of this workshop are to: * Bring more people into a discussion around ROI-related topics, both financial and non-financial (academic and research impact). * Bring institutions to a better awareness of existing current best practices already used at their peer institutions with respect to ROI measurement and reporting. * Present results of CASC community-oriented Cloud and Data Center Usage Survey and improve formulation of survey for next time. The workshop will be broken down into three one hour sessions. The first hour will focus on the background of the CASC "ROI for Academic Uses of Data Centers and Clouds" working group efforts to date. The second hour will include perspective from other entities that are or have been involved in similar efforts, including CaRRC, NAG, and Virginia Tech. The third hour will consist of facilitated breakout discussions, report outs, and next steps. This workshop is open to the entire research computing and data community, and CASC encourages participation from those who have strong interest in ROI for our field. Register at https://casccommunitymeeting.eventbrite.com Thank you in advance for your participation. Alan Sill, Ph.D Managing Director, High Performance Computing Center Adjunct Professor of Physics Drane 159, MS 4-1167 Texas Tech University <http://www.hpcc.ttu.edu/>http://www.hpcc.ttu.edu<http://www.hpcc.ttu.edu/> e-mail: Alan.Sill(a)ttu.edu<mailto:Alan.Sill@ttu.edu> ph. 806-834-5940 Co-Director, NSF Center for Cloud and Autonomic Computing https://nsfcac.org<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnsfcac.or…> President, Open Grid Forum https://www.ogf.org<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ogf.o…>

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