[hpc-announce] [DEADLINE EXTENDED TO MARCH 15] The Seventh International Workshop on Systems and Network Telemetry and Analytics (SNTA 2024)

Mon Mar 4 02:56:11 CST 2024

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://urldefense.us/v3/__https://sntaworkshop.github.io/2024/__;!!G_uCfscf7eWS!fY2GAtkHwjbwLhDTZ1XDHGdYsc8JJS-NQg0a-7Au5cHfz46iDEnpO4ssG8EZUMrYUQ_JLEK6V2qqS9jctRD0pMNOxUv11EaAH0Y1$ 

Submission link
https://urldefense.us/v3/__https://snta24.hotcrp.com/paper/new__;!!G_uCfscf7eWS!fY2GAtkHwjbwLhDTZ1XDHGdYsc8JJS-NQg0a-7Au5cHfz46iDEnpO4ssG8EZUMrYUQ_JLEK6V2qqS9jctRD0pMNOxUv11LuxSRHF$ 

Submission deadline
March 15, 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 Such changes will render the existing telemetry and analysis techniques outdated, and more scalable techniques may be in place for data-driven and deeper data analysis.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://urldefense.us/v3/__https://snta24.hotcrp.com/paper/new__;!!G_uCfscf7eWS!fY2GAtkHwjbwLhDTZ1XDHGdYsc8JJS-NQg0a-7Au5cHfz46iDEnpO4ssG8EZUMrYUQ_JLEK6V2qqS9jctRD0pMNOxUv11LuxSRHF$  

Important Dates
	•	Submission deadline: March 15, 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://urldefense.us/v3/__https://sntaworkshop.github.io/2024/__;!!G_uCfscf7eWS!fY2GAtkHwjbwLhDTZ1XDHGdYsc8JJS-NQg0a-7Au5cHfz46iDEnpO4ssG8EZUMrYUQ_JLEK6V2qqS9jctRD0pMNOxUv11EaAH0Y1$ 

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     

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

 Voice/Fax  +39 0832 297371  

 Web   https://urldefense.us/v3/__https://www.massimocafaro.it__;!!G_uCfscf7eWS!fY2GAtkHwjbwLhDTZ1XDHGdYsc8JJS-NQg0a-7Au5cHfz46iDEnpO4ssG8EZUMrYUQ_JLEK6V2qqS9jctRD0pMNOxUv11JmND5ZF$    
 Web   https://urldefense.us/v3/__https://www.unisalento.it/people/massimo.cafaro__;!!G_uCfscf7eWS!fY2GAtkHwjbwLhDTZ1XDHGdYsc8JJS-NQg0a-7Au5cHfz46iDEnpO4ssG8EZUMrYUQ_JLEK6V2qqS9jctRD0pMNOxUv11P8IBGWp$       

 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

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