Open Stack

I’d like to announce the following workshop to this list. I believe it is well within scope for list participants.

Please note the formats for participation have recently been extended to include lightning talks and panel topic proposals or participation.

Please let me know if you have ideas that would help with this workshop. Please also feel free to forward this to others you may know who might want to participate. We are aiming this event at those who actually operate, manage, or are interested in improving data center operations and tools.

All topics related to data center provisioning, automation, infrastructure management (including energy efficiency and measurement) and data center analytics and control are in scope for this workshop to be held at Supercomputing 2018 in Dallas. See links below for more information.

Alan

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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&sntz=1&usg=AFQjCNHqgPnaulrUkyzxCsRgFHoFcgHgzw> 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%2Fconferences%2Fucc2017%2Fpage-2%2Fdaacworkshop.html&sa=D&sntz=1&usg=AFQjCNHsjrjcl13t8INBkFsXzIIuG-GGug> 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%2Fpublishing%2Ftemplates.html&sa=D&sntz=1&usg=AFQjCNHwHu5zx3ADXt4m98-Bt9e86fTamQ>).
  *   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 at 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&sa=D&sntz=1&usg=AFQjCNGjaJIaOgG4UrfRDm-hh5YL_PaueQ>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&site=sc18<https://www.google.com/url?q=https%3A%2F%2Fsubmissions.supercomputing.org%2F%3Fpage%3DSubmit%26id%3DSC18WorkshopDAAC%26site%3Dsc18&sa=D&sntz=1&usg=AFQjCNFMZfuHCzQSYIAaFG9g1PkyEfbdAA>

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 at daac-workshop.org<mailto:nfo at 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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