The Third International Workshop on
Systems and Network Telemetry and Analytics (SNTA 2020)

HPDC2020

Stockholm, Sweden, June 23-26, 2020

 

Program link

2020 Program

Submission link

https://easychair.org/conferences/?conf=snta2020

Submission deadline

April 3, 2020

 

The tasks of systems and network telemetry are a key element for effective operations and management of HPC and distributed computing systems, by offering comprehensive monitoring and analysis capabilities to provide the visibility into what is occurring at any time. The tasks will be significantly complicated with the greater complexity of computing systems, increasing network speed, and the newly introduced mobile and IoT devices. Such changes will render the existing telemetry and analysis techniques to be outdated, and more scalable techniques may be in place for data-driven and deeper data analysis. In addition to the quantitative and qualitative challenges, data pressure in systems and networks also comes from various sources such as end systems, routers, firewalls, intrusion sensors, and the newly emerging network elements speaking with different syntax and semantics, which makes organizing and incorporating the generated data difficult for extensive analysis.

This workshop aims at bridging the systems and network telemetry and the latest advances in machine learning and data science technologies, to advance the performance and reliability of HPC and distributed systems. New analysis techniques are needed in the modern world, from the diverse angles of systems/network performance, availability, and security. For example, real-time streaming analytics algorithms and methods need to be explored for estimating network performance and summarizing the traffic variables to capture the network activities due to the network bandwidth increase. Multivariate analysis of telemetric variables may be able to provide the intuitive, comprehensive view of the systems and networks dynamics. New logging techniques are also needed in the future with the latest development in the storage and archival technologies. In addition, many applications in this area may need to address the application-specific requirements and challenges. This workshop intends to share visions of investigating new approaches and methods at the intersection of data sciences and HPC/distributed computing systems.   

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Authors are invited to submit either a full (max 8 pages) paper or a short/work-in-progress (max 4 pages) paper.
Formatting: Authors are invited to submit papers with unpublished, original work of not more than 8 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages (including all text, figures, and references), as per ACM 8.5 x 11 manuscript guidelines (document templates can be found at http://www.acm.org/sigs/publications/proceedings-template). Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library.

Submission link: https://easychair.org/conferences/?conf=snta2020 

List of Topics

  • Systems and network measurement, analysis, and summarization
  • HPC, superfacility, and distributed systems
  • Data-driven, multivariate, streaming-based data processing
  • Distributed and federated machine learning
  • Performance modeling, analysis, and engineering
  • Cybersecurity, forensics, privacy, and anonymization
  • Intelligent workflow, visualization, and applications
  • Smart instruments, edge/fog-systems, and IoTs
  • Wireless, mobile/5G networks
  • Software-Defined-* technologies
  • Storage and archival technologies
  • Experiences and practices on systems/network data analysis

Important Dates

  • Submission deadline: April 3, 2020
  • Author notification: April 17 2020
  • Camera-ready deadline: May 1, 2020
  • Workshop: June 23, 2020

Committees

Program Committee

  • Stergios Anastasiadis, University of Ioannina, Greece
  • Engin Arslan, University of Nevada at Reno, USA
  • Sang-Yoon Chang, University of Colorado at Colorado Springs, USA
  • Eric Chan-Tin, Oklahoma State University, USA
  • Jerry Chou, National Tsing Hua University, Taiwan
  • Italo Epicoco, University of Salento and Euro-Mediterranean Center on Climate Change, Italy
  • Jens Jenson, STFC, UK
  • Péter Kacsuk, SZTAKI, Hungary
  • Rajkumar Kettimuthu, Argonne National Laboratory, USA
  • Ikkyun Kim, ETRI, Korea
  • In Kee Kim, University of Georgia, USA
  • Alina Lazar, Youngstown State University, USA
  • Dongeun Lee, Texas A&M University-Commerce, USA
  • Chul-Ho Lee, Florida Institute of Technology, USA
  • Laurent Lefèvre, INRIA and Université de Lyon, France
  • Wei-keng Liao, Northwestern University, USA
  • Kwangsung Oh, University of Nebraska Omaha, USA
  • Amir H. Payberah, KTH Royal Institute of Technology, Sweden
  • Marco Pulimeno, University of Salento, Italy
  • Kurt Stockinger, Zurich Univ. of Applied Sciences, Switzerland
  • K, John Wu, Lawrence Berkeley National Laboratory, USA
  • Lingfei Wu, IBM, USA
  • Shinjae Yoo, Brookhaven National Laboratory, USA

Organizing Committee

  • Massimo Cafaro, University of Salento, Italy
  • Jinoh Kim, Texas A&M University-Commerce
  • Alex Sim, Lawrence Berkeley National Laboratory

Keynote Speakers

  • Inder Monga, Division Director for Scientific Networking Division, Lawrence Berkeley National Laboratory and Executive Director of Energy Sciences Network (ESnet).
  • Eric Chan-Tin, assistant professor, Dept. of Computer Science, Loyola University Chicago.

Publication

Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library.
Extended versions of selected papers will be invited for review and potential publication to special issues of International Journal of Big Data Intelligence (IJBDI; ISSN print 2053-1389).

Venue

The conference will be held in conjunction with ACM HPDC 2020 (June 23-26, 2020).

Contact

All questions about submissions should be emailed to SNTA.help@gmail.com.

Previous SNTA workshops