[hpc-announce] [SNTA 2022] The Fifth International Workshop on Systems and Network Telemetry and Analytics

[Massimo CAFARO]

Call for Papers
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 Such changes will render the existing telemetry and analysis techniques to be outdated, and more scalable techniques may be in place for data-driven and deeper data analysis.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 14, 2022
Author notification: April 11, 2022
Camera-ready deadline: May 2, 2022
Workshop: July 1, 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 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   http://sara.unisalento.it/~cafaro   
 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

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