[hpc-announce] [DEADLINE APPROACHING] The Fifth International Workshop on Systems and Network Telemetry and Analytics (SNTA 2022)

Massimo Cafaro massimo.cafaro at unisalento.it
Sat Mar 26 07:56:12 CDT 2022

Call for Papers
The Fifth International Workshop on Systems and Network Telemetry and 
Analytics (SNTA 2022)
Minneapolis, Minnesota, USA, June 27 - July 1, 2022 (in conjunction with 
ACM HPDC 2022 (http://www.hpdc.org/2022/))

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 measurement 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and analysis techniques to be outdated, and more scalable techniques may 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 sensors, computing 
systems, networking and security devices, and other \emerging computing 
elements speaking with different syntax and semantics, which makes 
organizing and incorporating the generated data difficult for extensive 

This workshop aims at bridging the systems and network measurement 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.

Topic of interest (but not limited to):
Systems and network measurement, analysis, and summarization
Design and evaluation of HPC 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/6G networks
Software-Defined-* technologies
Storage and archival technologies
Software analysis and verification methodologies
Experiences and practices on systems/network data analysis

Important dates:
Submission deadline: March 31, 2022
Author notification: April 18, 2022
Camera-ready deadline: May 2, 2022
Workshop: June 30, 2022

Paper submission:
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. 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=snta2022

Organizing Committee
Massimo Cafaro, University of Salento, Italy
Jerry Chou, National Tsing Hua University, Taiwan
Jinoh Kim, Texas A&M University-Commerce, USA
Alex Sim, Lawrence Berkeley National Laboratory, USA

Web: https://sntaworkshop.github.io/2022/
Contact: SNTA.help at gmail.com


Prof.  Massimo Cafaro, Ph.D.
Associate Professor of Parallel Algorithms and Data Mining/Machine Learning

  Department of Engineering for Innovation
  University of Salento, Lecce, Italy
  Via per Monteroni
  73100 Lecce, Italy

  Voice/Fax  +39 0832 297371

  Web   http://sara.unisalento.it/~cafaro
  Web   https://www.unisalento.it/people/massimo.cafaro

  E-mail massimo.cafaro at unisalento.it
  E-mail cafaro at ieee.org
  E-mail cafaro at acm.org

National Institute of Geophysics and Volcanology
Via di Vigna Murata 605

  CMCC Foundation
  Euro-Mediterranean Center on Climate Change
  Via Augusto Imperatore, 16 - 73100 Lecce
  massimo.cafaro at cmcc.it



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