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The Third International Workshop on
Systems and Network Telemetry and Analytics (SNTA 2020)
HPDC2020
Stockholm, Sweden,
June 23-26, 2020
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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techniques to be outdated, and more scalable techniques may be in place for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.
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
- 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
- Submission deadline: April 3, 2020
- Author notification: April 17 2020
- Camera-ready deadline: May 1, 2020
- Workshop: June 23, 2020
- 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
- Massimo Cafaro, University of Salento, Italy
- Jinoh Kim, Texas A&M
University-Commerce
- Alex Sim, Lawrence Berkeley National
Laboratory
- 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.
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).
The conference will be held
in conjunction with ACM HPDC 2020 (June 23-26, 2020).
All questions about submissions
should be emailed to [email protected].
Previous SNTA workshops
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