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/))
Scope:
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and analysis techniques to be outdated, and more scalable techniques may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
analysis.
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@gmail.com
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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@unisalento.it
E-mail cafaro@ieee.org
E-mail cafaro@acm.org
INGV
National Institute of Geophysics and Volcanology
Via di Vigna Murata 605
Roma
CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro@cmcc.it
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