[hpc-announce] 2nd International Workshop on Systems and Network Telemetry and Analytics (SNTA’19)

In Kee Kim inkee.kim.uga at gmail.com
Sun Feb 17 10:34:38 CST 2019


Dear Colleague,

[Our apologies if you receive multiple copies of this CFP]

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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telemetry and analysis techniques to be outdated, and more scalable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 15, 2019

Camera-ready deadline: May 1, 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

Dimitrios Katramatos, Brookhaven National Laboratory, USA

Rajkumar Kettimuthu, Argonne National Laboratory, 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: SNTA.help at gmail.com


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