The 3rd Industry/University Joint International Workshop on Data-Center Automation, Analytics, and Control (DAAC)
The 3rd Industry/University Joint International Workshop on Data-Center Automation, Analytics, and Control (DAAC) to be hosted at the 2019 ACM/IEEE Supercomputing Conference (SC19) is an outcome of intensive discussions from academia, industry, and national laboratory researchers that led to successful previous instances hosted at SC’18 and UCC’17. Looking at the last year’s attendance at SC’18, DAAC has attracted up to ~80 attendees and had 50.6 attendees on average. DAAC’18 featured an industry panel, 3 invited talks from both academia and industry, and 10 paper talks from academia, national labs, and industry, selected through a rigorous review process (at least three reviews for each paper). DAAC’17 featured three invited speakers from industry and a panel of five experts and different stakeholders in addition to presentations from peer-reviewed papers.
This new instance of the DAAC workshop at SC remains a unique workshop that promotes collaboration among academia, industry, and national labs and remains jointly organized by academic and industry researchers. 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/high-end computing. DAAC’19 will provide a valuable addition to main conference programs. Taking advantage of the opportune match to the SC19 audience, DAAC’19 expects to attract a larger number of attendees from academia, industry, and government labs who are interested in data center automated management, operation, and maintenance.
The DAAC-2019 workshop program and abstracts from the presentations can be found from this link:
One copy of the SC Proceedings was provided to all Technical Program attendees. In addition, the proceedings are archived in the ACM Digital Library and IEEE Xplore; members of SIGHPC or subscribers to the archives may access the full papers without charge. These proceedings contain the full text of all papers presented at the SC'19 Conference. Unfortunately, the conference did not provide links to each paper, so you may have to search within either of these sites to find the published versions. As a convenience, slides used during each of the presentations are also linked below.
8:30am - 8:45am
8:45am - 9:00am
9:00am - 9:15am
9:15am - 9:30am
9:30am - 9:45am
Job Outcome Prediction via Text Log Analysis: abstract, paper, slides
9:45am - 10:00am
10:00am - 10:30am: DAAC Morning Break
10:30am - 10:45am
10:45am - 11:00am
Author/Presenter: Timothy Yuan
11:00am - 12:00pm
DAAC Industrial/University Joint Panel Discussion: slides
Panelists: Jeff Autor, HPE, Mark Carlson, Kioxia Corporation, Elisabeth Moore, Los Alamos National Laboratory, Michael Oros, Storage Networking Industry Association, Lowell Wofford, Los Alamos National Laboratory
Moderator: Alan Sill, Texas Tech University
Submission Deadline: September 17, 2019
Author Notification: October 10 , 2019
Camera-ready Submission: October 31, 2019
Workshop Date: Friday, 22 November 2019, 9 am - 12:30 pm.
Workshop Location: at the SuperComputing 2019 conference, Colorado Convention Center, 501-502 .
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
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. All accepted papers will be published by IEEE TCHPC.
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.
Authors are requested to submit papers electronically.
Submissions are limited to 6 pages using 10 pt fonts in the IEEE format (https://www.ieee.org/conferences/publishing/templates.html).
The 6-page limit includes figures, tables, references and appendices.
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 for additional information.
All topics related to the main theme of the workshop are in scope.
Submissions should be made on the submissions.supercomputing.org 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:
Alan Sill (Texas Tech University)
Yong Chen (Texas Tech University)
Jon Hass (Dell)
Jeff Hilland (HPE)
Dong Dai (University of North Carolina at Charlotte)
Dmitry Duplyakin (University of Utah)
Tim Cockerill (Texas Advanced Computing Center)
Technical Program Committee:
Bing Xie (Oak Ridge National Laboratory)
Dmitry Duplyakin (University of Utah)
Devesh Tiwari (Northeastern University)
Dazhao Cheng (University of North Carolina at Charlotte)
Eric Rees (Texas Tech University)
Gangyong Jia (Hangzhou Dianzi University)
Ivo Jimenez (University of California Santa Cruz)
Mai Zheng (Iowa State University)
Rajkumar Kettimuthu (Argonne National Lab)
Shuibing He (Zhejiang University, China)
Xiaoli Gong (NanKai University)
Zhengchun Liu (University of Chicago)
Elham Hojati (Texas Tech University)
Misha Ahmadian (Texas Tech University)