September 2018 - wg-all - lists.ogf.org

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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Fwd: Call for papers, lightning talks, and panel topics: 2nd International Workshop on Data Center Automation, Analytics, and Control
by Sill, Alan 06 Sep '18

06 Sep '18

Dear OGF Work Groups and Community Groups, Please look over, and if possible help distribute, the following announcement for a workshop on data center automation analytics, and control topics to any lists you feel would be suited to its contents. Since the last mailing on this, the date has now been scheduled for Monday, Nov. 12 from 9:00 am to 5:30 pm. OGF technologies are in scope with respect to many of the inter-data-center topics, including automation of workload distribution, energy efficiency, and standards for data center automation. The committee is also receptive to in any topics for panels or suggestions for lightning talks or invited speakers . As you can see from the topics listed, we are aiming for a broad scope in exploring modern usage for tools and techniques that lend themselves to improving operational efficiency and management in data centers, including academic data center operations. Thanks for any input, and hope to see you at SC’18 in Dallas! — Alan -------------------- DAAC 2018 (http://daac-workshop.org<http://daac-workshop.org/>) Monday, November 12 at the SuperComputing 2018 conference<https://www.google.com/url?q=https%3A%2F%2Fsc18.supercomputing.org&sa=D&snt…> in Dallas, Texas The 2nd International Industry/University Workshop on Data-center Automation, Analytics, and Control This workshop is the continuation of a highly successful series introduced in 2017 at the 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC)<http://www.google.com/url?q=http%3A%2F%2Fwww.depts.ttu.edu%2Fcac%2Fconferen…> conference held in Austin, Texas. The DAAC workshop series is focused on fostering discussion among industry, academic, and national laboratory participants and promoting collaboration on solutions for automated data centers and associated data center analytics and control issues. The objective is to promote and stimulate community's interactions to address some of most critical challenges in automation, analytics, and control specifically aimed for the needs of large-scale data centers in high-performance and other forms of highly scaled computing. the 2018 workshop will be held Monday, Nov. 12 in room D170 at Supercomputing'18<https://www.google.com/url?q=https%3A%2F%2Fsc18.supercomputing.org%2Fpresen…>. * Submission Deadline: September 17, 2018 * Author Notification: October 1, 2018 * Camera-ready Submission: October 15, 2018 * Workshop: Monday, Nov. 12, 2018, 9:00 am = 5:30 pm<https://www.google.com/url?q=https%3A%2F%2Fsc18.supercomputing.org%2Fpresen…> Manuscript submissions must be received by the announced submission deadline. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Further details on the publication instructions and registration information will be published on the DAAC website. Format: Papers: * Authors are requested to submit papers electronically. * Submissions are limited to 5 pages using 10 pt fonts in the IEEE format (https://www.ieee.org/conferences/publishing/templates.html<https://www.google.com/url?q=https%3A%2F%2Fwww.ieee.org%2Fconferences%2Fpub…>). * The 5-page limit includes figures, tables, references and appendices. Lightning Talks: * Short talks covering recently breaking topics may be submitted for presentation only. * Journal publication will not be guaranteed for these talks if accepted, but slides will be accepted to be made available online. * Submit an abstract and up to one-page description using the templates linked above and the submission link below. Panel Participation and Topics: * Submit a proposal for a panel topic, or volunteer to participate on a panel, using the submission link below. * Prepare an abstract and up to one-page description using the templates linked above and the submission link below, or contact the organizers<mailto:info@daac-workshop.org> for additional information. * All topics related to the main theme of the workshop are in scope. Submission Link: Submissions should be made on the submissions.supercomputing.org<https://www.google.com/url?q=https%3A%2F%2Fsubmissions.supercomputing.org&s…>web site. To submit your paper, please use the following link, or click on the DAAC link on the "submission Forms" tab there, after logging in to that site: https://submissions.supercomputing.org/?page=Submit&id=SC18WorkshopDAAC&sit…<https://www.google.com/url?q=https%3A%2F%2Fsubmissions.supercomputing.org%2…> Journal Special Issue: All the accepted DAAC-2018 workshop papers will be invited to extend the manuscripts to be considered for a Special Issue on Data-center Automation, Analytics, and Control of the Springer Cluster Computing: the Journal of Networks, Software Tools and Applications (Impact Factor 2.04 in 2016). This special issue is dedicated for the papers accepted in the DAAC workshop. The submission to this special issue is by invitation only. This workshop will provide a forum to discuss fundamental issues on real-time operation of highly automated data centers, including methods to provision, debug, analyze and control data center equipment and to improve how machines are operated, monitored, and used. Topics to be covered will include how software stacks are deployed and provisioned, how data is processed and transferred in real time from the data center to the cloud as well as challenges in design and implementation of novel automated data center architectures and systems. New methods, techniques, hardware, software, and standards for data center automation and control will be discussed and in scope. * Design and implementation of hardware for large-scale data center operation * Artificial intelligence methods to detect and respond to shifting workloads * Integration of cloud software stack design and data center operations * Real-time monitoring architectures and systems * Data analytics infrastructures for data centers * Data movement within and between large-scale data center implementations * Debugging operational issues in multi-level data centers * Data collection, analytics, security and management for data centers * Techniques for on-demand virtual machine image or container provisioning * Mining sensor data collected from large-scale sensing deployments * Big data analytics in large data center sensor networks * Sensor systems for remote and real-time monitoring of data center equipment * Scheduling for distributed systems within and among data centers * Optimizing energy use in multi-tenant data center deployments * Emergency response methods for automated protection of equipment * Control software frameworks for handling large numbers of machines * Custom design of software and hardware to optimize operation in data centers General Chairs: * Alan Sill (Texas Tech University) * Yong Chen (Texas Tech University) Industrial Chairs: * Jon Hass (Dell) * Jeff Hilland (HPE) Program Chairs: * Dong Dai (University of North Carolina at Charlotte) * Tim Cockerill (Texas Advanced Computing Center) Publicity Chair: * Elham Hojati (Texas Tech University) Proceeding Chair: * Mai Zheng (Iowa State University) Contact: * info(a)daac-workshop.org<mailto:nfo@daac-workshop.org> Technical Program Committee: * Dmitry Duplyakin (University of Utah) * Raj Kettimuthu (Argonne National Laboratory) * Devesh Tiwari (Northeastern University) * Hiroya Matsuba (RIKEN Center for Computational Science, Japan) * Hirotaka Ogawa (National Institute of Advanced Industrial Science and Technology, Japan) * Shin-ichiro Takizawa (National Institute of Advanced Industrial Science and Technology, Japan) * Zhengchun Liu (University of Chicago) * Xiaoli Gong (Nankai University, China) * Shuibing He (Wuhan University, China) * Dazhao Cheng (University of North Carolina at Charlotte) * Jin Xiong (Institute of Computing Technology, China) * Keiji Yamamoto (RIKEN Center for Computational Science, Japan) * Lingfang Zeng (Huazhong University of Science and Technology, China) * Bing Xie (Oak Ridge National Laboratory)

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Fwd: [DFDL-WG] Apache Daffodil (Incubating) release 2.2.0
by Sill, Alan 05 Sep '18

05 Sep '18

Forwarding on this news from the DFDL working group with congratulations to the Apache Daffodil developer team on this release! More on DFDL is available at https://www.ogf.org/dfdl Begin forwarded message: From: Mike Beckerle <mbeckerle.dfdl(a)gmail.com<mailto:mbeckerle.dfdl@gmail.com>> Subject: [DFDL-WG] Apache Daffodil (Incubating) release 2.2.0 Date: September 5, 2018 at 2:00:44 PM CDT To: DFDL-WG <dfdl-wg(a)ogf.org<mailto:dfdl-wg@ogf.org>> The Apache Daffodil (incubating) community is pleased to announce the release of version 2.2.0. Release notes and downloads are available at: https://daffodil.apache.org/releases/2.2.0/<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdaffodil.a…> Daffodil is an open source implementation of the DFDL (Data Format Description Language) specification that uses DFDL schemas to parse fixed format data into an infoset, which is most commonly represented as either XML or JSON. This allows the use of well-established XML or JSON technologies and libraries to consume, inspect, and manipulate fixed format data in existing solutions. Daffodil is also capable of the reverse by serializing or "unparsing" an XML or JSON infoset back to the original data format. For more information about Daffodil visit: https://daffodil.apache.org/<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdaffodil.a…> Regards, The Apache Daffodil Team Mike Beckerle | OGF DFDL Workgroup Co-Chair | Tresys Technology | www.tresys.com<https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.tresys.…> Please note: Contributions to the DFDL Workgroup's email discussions are subject to the OGF Intellectual Property Policy<https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ogf.org…> -- dfdl-wg mailing list dfdl-wg(a)ogf.org<mailto:dfdl-wg@ogf.org> https://www.ogf.org/mailman/listinfo/dfdl-wg

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Call for papers, lighning talks, and panel topics: 2nd International Workshop on Data Center Automation, Analyitcs, and Control
by Sill, Alan 04 Sep '18

04 Sep '18

DAAC 2018 (http://daac-workshop.org) Monday, November 12 at the SuperComputing 2018 conference<https://www.google.com/url?q=https%3A%2F%2Fsc18.supercomputing.org&sa=D&snt…> in Dallas, Texas The 2nd International Industry/University Workshop on Data-center Automation, Analytics, and Control This workshop is the continuation of a highly successful series introduced in 2017 at the 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC)<http://www.google.com/url?q=http%3A%2F%2Fwww.depts.ttu.edu%2Fcac%2Fconferen…> conference held in Austin, Texas. The DAAC workshop series is focused on fostering discussion among industry, academic, and national laboratory participants and promoting collaboration on solutions for automated data centers and associated data center analytics and control issues. The objective is to promote and stimulate community's interactions to address some of most critical challenges in automation, analytics, and control specifically aimed for the needs of large-scale data centers in high-performance and other forms of highly scaled computing. * Submission Deadline: September 17, 2018 * Author Notification: October 1, 2018 * Camera-ready Submission: October 15, 2018 Manuscript submissions must be received by the announced submission deadline. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigour in analysis, quality of results, and organization and clarity of presentation of the paper. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Further details on the publication instructions and registration information will be published on the DAAC website. Format: Papers: * Authors are requested to submit papers electronically. * Submissions are limited to 5 pages using 10 pt fonts in the IEEE format (https://www.ieee.org/conferences/publishing/templates.html<https://www.google.com/url?q=https%3A%2F%2Fwww.ieee.org%2Fconferences%2Fpub…>). * The 5-page limit includes figures, tables, references and appendices. Lightning Talks: * Short talks covering recently breaking topics may be submitted for presentation only. * Journal publication will not be guaranteed for these talks if accepted, but slides will be accepted to be made available online. * Submit an abstract and up to one-page description using the templates linked above and the submission link below. Panel Participation and Topics: * Submit a proposal for a panel topic, or volunteer to participate on a panel, using the submission link below. * Prepare an abstract and up to one-page description using the templates linked above and the submission link below, or contact the organizers<mailto:info@daac-workshop.org> for additional information. * All topics related to the main theme of the workshop are in scope. Submission Link: Submissions should be made on the submissions.supercomputing.org<https://www.google.com/url?q=https%3A%2F%2Fsubmissions.supercomputing.org&s…>web site. To submit your paper, please use the following link, or click on the DAAC link on the "submission Forms" tab there, after logging in to that site: https://submissions.supercomputing.org/?page=Submit&id=SC18WorkshopDAAC&sit…<https://www.google.com/url?q=https%3A%2F%2Fsubmissions.supercomputing.org%2…> Journal Special Issue: All the accepted DAAC-2018 workshop papers will be invited to extend the manuscripts to be considered for a Special Issue on Data-center Automation, Analytics, and Control of the Springer Cluster Computing: the Journal of Networks, Software Tools and Applications (Impact Factor 2.04 in 2016). This special issue is dedicated for the papers accepted in the DAAC workshop. The submission to this special issue is by invitation only. This workshop will provide a forum to discuss fundamental issues on real-time operation of highly automated data centers, including methods to provision, debug, analyze and control data center equipment and to improve how machines are operated, monitored, and used. Topics to be covered will include how software stacks are deployed and provisioned, how data is processed and transferred in real time from the data center to the cloud as well as challenges in design and implementation of novel automated data center architectures and systems. New methods, techniques, hardware, software, and standards for data center automation and control will be discussed and in scope. * Design and implementation of hardware for large-scale data center operation * Artificial intelligence methods to detect and respond to shifting workloads * Integration of cloud software stack design and data center operations * Real-time monitoring architectures and systems * Data analytics infrastructures for data centers * Data movement within and between large-scale data center implementations * Debugging operational issues in multi-level data centers * Data collection, analytics, security and management for data centers * Techniques for on-demand virtual machine image or container provisioning * Mining sensor data collected from large-scale sensing deployments * Big data analytics in large data center sensor networks * Sensor systems for remote and real-time monitoring of data center equipment * Scheduling for distributed systems within and among data centers * Optimizing energy use in multi-tenant data center deployments * Emergency response methods for automated protection of equipment * Control software frameworks for handling large numbers of machines * Custom design of software and hardware to optimize operation in data centers General Chairs: * Alan Sill (Texas Tech University) * Yong Chen (Texas Tech University) Industrial Chairs: * Jon Hass (Dell) * Jeff Hilland (HPE) Program Chairs: * Dong Dai (University of North Carolina at Charlotte) * Tim Cockerill (Texas Advanced Computing Center) Publicity Chair: * Elham Hojati (Texas Tech University) Proceeding Chair: * Mai Zheng (Iowa State University) Contact: * info(a)daac-workshop.org<mailto:nfo@daac-workshop.org> Technical Program Committee: * Dmitry Duplyakin (University of Utah) * Raj Kettimuthu (Argonne National Laboratory) * Devesh Tiwari (Northeastern University) * Hiroya Matsuba (RIKEN Center for Computational Science, Japan) * Hirotaka Ogawa (National Institute of Advanced Industrial Science and Technology, Japan) * Shin-ichiro Takizawa (National Institute of Advanced Industrial Science and Technology, Japan) * Zhengchun Liu (University of Chicago) * Xiaoli Gong (Nankai University, China) * Shuibing He (Wuhan University, China) * Dazhao Cheng (University of North Carolina at Charlotte) * Jin Xiong (Institute of Computing Technology, China) * Keiji Yamamoto (RIKEN Center for Computational Science, Japan) * Lingfang Zeng (Huazhong University of Science and Technology, China) * Bing Xie (Oak Ridge National Laboratory)

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