[hpc-announce] The Seventh International Workshop on Systems and Network Telemetry and Analytics (SNTA 2024)

[Massimo Cafaro]

The Seventh International Workshop on Systems and Network Telemetry and 
Analytics (SNTA 2024)
Pisa, Italy, June 3 - 4, 2024 in conjunction with ACM HPDC 2024
https://sntaworkshop.github.io/2024/

Submission link
https://snta24.hotcrp.com/paper/new

Submission deadline
March 1, 2024

The tasks of systems and network telemetry are vital for effective 
operations and management of HPC and distributed computing systems by 
offering comprehensive measurement and analysis capabilities to provide 
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analysis techniques outdated, and more scalable techniques may be in 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 provide an intuitive, comprehensive view of 
the systems and network dynamics. New logging techniques are also needed 
with the latest developments in 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.

Topics of Interest (but not limited to)

	•	Systems and network measurement, analysis, and summarization
	•	Data-driven, multivariate, streaming-based data processing
	•	Scalable distributed and federated machine learning
	•	Performance modeling, analysis, and optimization
	•	Cybersecurity, forensics, privacy, and anonymization
	•	Intelligent workflow, visualization, and applications
	•	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
	•	Design and evaluation of HPC and distributed systems
	•	Best practices and implementations tied to systems/network data analysis

Submission Guidelines
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 5 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://snta24.hotcrp.com/paper/new

Important Dates
	•	Submission deadline: March 1, 2024
	•	Author notification: April 1, 2024
	•	Camera-ready deadline: April 18, 2024
	•	Workshop: June 3-4, 2024


Program Committee
	•	Mohammed Abuhamad, Loyola University Chicago, USA
	•	Stergios Anastasiadis, University of Ioannina, Greece
	•	Engin Arslan, University of Nevada at Reno, USA
	•	Sang-Yoon Chang, University of Colorado at Colorado Springs, USA
	•	Ming-Hung Chen, IBM, USA
	•	Chunglae Cho, ETRI, Korea
	•	Italo Epicoco, University of Salento, Italy
	•	Wenjun Fan, Xi'an Jiaotong-Liverpool University, China
	•	In Kee Kim, University of Georgia, USA
	•	Alina Lazar, Youngstown State University, USA
	•	Chul-Ho Lee, Texas State University, USA
	•	Dongeun Lee, Texas A&M University-Commerce, USA
	•	Che-Rung Lee, National Tsing Hua University, Taiwan
	•	Kwangsung Oh, University of Nebraska Omaha, USA
	•	Amir H. Payberah, KTH Royal Institute of Technology, Sweden
	•	Marco Pulimeno, University of Salento, Italy
	•	Thomas Ropars, Univ. Grenoble Alpes, France
	•	Alex Sim, Lawrence Berkeley National Laboratory, USA
	•	Houjun Tang, Lawrence Berkeley National Laboratory, USA
	•	K. John Wu, Lawrence Berkeley National Laboratory, USA


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

Keynote Speaker (TBD)

Publication
Papers will be peer-reviewed, and accepted papers will be published in 
the workshop proceedings as part of the ACM digital library.

Venue
The conference will be held in conjunction with ACM HPDC 2024.

Contact
All questions about submissions should be emailed to 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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