[hpc-announce] The Sixth Workshop on Systems and Network Telemetry and Analytics (ACM SNTA’23)

[Massimo Cafaro]

Call for Papers

The Sixth Workshop on Systems and Network Telemetry and Analytics (ACM 
SNTA’23)
in conjunction with ACM HPDC 2023 (http://www.hpdc.org/2023/)
Orlando, Florida, United States, June 16 - 23, 2023

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and analysis techniques outdated, and more scalable techniques may be in 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 artificial intelligence 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 an intuitive, 
comprehensive view of the systems and network 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
- Data-driven, multivariate, streaming-based data processing
- Distributed and federated machine learning
- Cybersecurity, forensics, privacy, and anonymization
- Smart instruments, edge/fog-systems, and IoTs
- Wireless, sensor, 5G/6G networks measurement and analysis
- Software/knowledge-defined-* technologies
- Advances in network and storage technologies
- Intelligent workflow, visualization, and applications
- Performance modeling, analysis, and engineering
- Design and evaluation of HPC and distributed systems
- Best practices and implementations tied to systems/network data analysis


Important dates:

Submission deadline: March 31, 2023
Author notification: April 14, 2023
Camera-ready deadline: May 2, 2023


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=snta23


Organizing Committee

Massimo Cafaro, University of Salento, Italy
Eric Chan-Tin, Loyola University Chicago,  USA
Jerry Chou, National Tsing Hua University, Taiwan
Jinoh Kim, Texas A&M University-Commerce, USA


Contact: SNTA.help at gmail.com


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Prof. Massimo Cafaro, Ph.D.

Associate Professor of Parallel Algorithms and Data Mining & Machine
Learning
Head of HPC Lab https://hpc-lab.unisalento.it
Director of Master in Applied Data Science

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

Voice/Fax  +39 0832 297371

Web   https://www.massimocafaro.it
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

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 at cmcc.it


The sum of the intelligence on the planet is a constant; the population
is growing.

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