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analysis techniques outdated, and more scalable techniques may be in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
• 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
• Wonjun Lee, Biola University, 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.
Web
https://sntaworkshop.github.io/2024/
Contact
All questions about submissions should be emailed to SNTA.help@gmail.com.
--
**************************************************************************************
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@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
The sum of the intelligence on the planet is a constant; the population
is growing.
**************************************************************************************
--
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
