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Second International Workshop on Systems and Network Telemetry and Analytics (SNTA’19)
Phoenix, AZ, USA, June 25, 2019 (https://easychair.org/cfp/SNTA2019)
To be held in conjunction with ACM HPDC 2019, June 24-28, 2019 (http://www.hpdc.org/2019/)
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Scope
The tasks of systems and network telemetry are key elements 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 smart edge systems including 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 Such changes will render the existing telemetry and analysis techniques to be outdated, and more scalable techniques may be in place for data-driven and deeper data analysis.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, 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 with the advancement of the systems and networks as well as the availability of the data collection, from the diverse angles of 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 and I/O techniques are also needed 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 HPC systems and data sciences.
Important dates
Submission deadline: March 31, 2019
Author notification: April 30, 2019
Camera-ready deadline: May 8, 2019
Conference and workshops: Tuesday, June 25, 2019
Topic of interest (but not limited to):
- HPC and distributed systems status information analysis
- Data-driven, multivariate, streaming-based data processing and analysis
- Network traffic measurement, statistics, and summarization
- Storage and archival technologies for log data management
- Algorithms, frameworks, tools, and services for system logs and traffic analytics
- Performance changes and anomaly detection for distributed systems and networks
- Experiences, practices, and measurement studies on performance analysis for systems and networks
- Visualization system and network performance and anomaly information
- Systems and network forensic technologies
- Knowledge-defined systems and networking technologies
- IoT and wireless network data analysis
Paper submission
All submissions should follow the ACM 8.5 x 11 manuscript guidelines (document templates can be found at http://www.acm.org/sigs/publications/proceedings-templates). Each submission can have up to 8 pages (full paper) or 4 pages (short/work-in-progress paper). Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library.
Selected papers will be recommended to special issues of International Journal of Big Data Intelligence (IJBDI; ISSN print 2053-1389).
Submission link: https://easychair.org/conferences/?conf=snta2019
Co-chairs
Jinoh Kim, Texas A&M University, Commerce, USA
Alex Sim, Lawrence Berkeley National Laboratory, USA
Publicity chair
In Kee Kim, University of Georgia, USA
Program Committee
Massimo Cafaro, University of Salento, Italy
Eric Chan-Tin, Loyola University Chicago, USA
Jerry Chou, National Tsing Hua University, Taiwan
Sébastien Denvil, IPSL, France
Jens Jenson, STFC, UK
Dimitrios Katramatos, Brookhaven National Laboratory, USA
Rajkumar Kettimuthu, Argonne National Laboratory, USA
In Kee Kim, University of Georgia, USA
Ikkyun Kim, ETRI, Korea
Youngjae Kim, Sogang University, Korea
Mariam Kiran, ESnet, USA
Dongeun Lee, Texas A&M University-Commerce, USA
Dong Li, University of California, Merced, USA
Kurt Stockinger, Zurich Univ. of Applied Sciences, Switzerland
Lingfei Wu, IBM, USA
John Wu, Lawrence Berkeley National Laboratory, USA
Guangxia Xu, Chongqing Univ. of Posts and Telecom., China
Dantong Yu, New Jersey Institute of Technology, USA
Contact: [email protected]
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