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) 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.
The DAAC-2018 workshop program details can be found from this link https://sc18.supercomputing.org/session/?sess=sess169. For convenience, copies of the slides and (if applicable) copies of submitted papers are available at the links below.
Introduction - The 2nd Industry/University Joint International Workshop on Data Center Automation, Analytics, and Control (DAAC)
- Organizers: Yong Chen, Dong Dai, Tim Cockerill, Alan Sill
Welcome, Workshop Goals, and Opening Remarks: Slides
- Alan Sill, Yong Chen
Contention-Aware Container Placement Strategy for Docker Swarm: Paper , Slides
- Ron Chi-Lung Chiang
Workload Time Series Prediction in Storage Systems: A Deep Learning Based Approach: Paper , Slides
- Li Ruan, Yu Bai, Limin, Xiao, Rongbin Xv, Yiyang Zhang, Shuibing He, Hongtao You
TACC's Cloud Deployer: Automating the Management of Distributed Software Systems: Paper , Slides
- Joe Stubbs, Steve Terry, Marjo Poindexter, Julia Looney
HPCViz: Monitoring Health Status of High Performance Computing Systems : Paper , Slides
- Tommy Dang, Vinh T. Nguyen, Vung Pham, Ali Ghazanfar, Yong Chen
Tivan: A Scalable Data Collection and Analytics Cluster: Paper , Slides
- Hugh Greenberg, Nathan Debardeleben
DiG: Enabling Out-of-Band Scalable High-Resolution Monitoring nalytics, Automation, and Control: Paper , Slides
- Antonio Libri, Andrea Bartolini, Luca Benini
Out-of-Band (BMC based) Data Center Monitoring DMTF Redﬁsh API Integration with Nagios: Paper , Slides
- Ghazanfar Ali, Yong Chen, Jon Hass, Alan Sill
Energy ane Job Scheduling and Resource Management: Global Survey --- An In-Depth Analysis: Paper , Slides
- Gregory A. Koenig, Matthias Maiterth, Siddhartha Jana, Natalie Bates, Kevin Pedretti,Milos Puzovic, Andrea Borghesi, Andrea Bartolini, David Montoya
Dynamic and Portable Vulnerability Assessment Testbed with Linux Containers to Ensure the Security of MongoDB in Singularity LXCs: Paper , Slides
- Akalanka Mailewa Dissanayaka, Susan Mengel, Lisa Gittner, Hafiz Khan
Industry Panel: Data-Center Automation, Analytics, and Control from an Industry Perspective: Slides
Jon Hass, Kevin Hughes, Samer El Haj Mahmoud, Jeff Autor
Simulating Data Centers with Redfish-Enabled Equipment: Paper, Slides
- Ali Akbar Nosrati, Alan Sill, Yong Chen
Invited Talk: Resource Control at Facebook: Slides
- Tejun Heo
Invited Talk: The Campus Compute Cooperative Project as an Alternative to Commercial Clouds: Slides
- Andrew Grimshaw
Current Status of the OpenHPC Project: Slides
- Karl W. Schulz
Closing Remarks by Worskhop Organizers: Slides
- Submission Deadline: September 17, 2018
- Author Notification: October 10 , 2018
- Camera-ready Submission: October 31, 2018
- Workshop: Monday, Nov. 12, 2018, 9:00 am - 5:30 pm (Click here for agenda!)
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.
- 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).
- The 5-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:
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
- Alan Sill (Texas Tech University)
- Yong Chen (Texas Tech University)
- Jon Hass (Dell)
- Jeff Hilland (HPE)
- Dong Dai (University of North Carolina at Charlotte)
- Tim Cockerill (Texas Advanced Computing Center)
- Elham Hojati (Texas Tech University)
- Misha Ahmadian (Texas Tech University)
- Mai Zheng (Iowa State University)
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)
- Mai Zheng (Iowa State University)