Wednesday, March 11, 2020

[DMANET] [SNTA 2020 DEADLINE EXTENDED] The Third International Workshop on Systems and Network Telemetry and Analytics

[Apologies if you got multiple copies of this email]

The Third International Workshop on Systems and Network Telemetry and Analytics (SNTA2020)
https://sdm.lbl.gov/snta/2020/

Stockholm, Sweden, June 23-26, 2020
in conjunction with ACM HPDC 2020 (http://www.hpdc.org/2020/)

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 monitoring 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 Such changes will render the existing telemetry and analysis techniques to be outdated, and more scalable techniques may be in place for data-driven and deeper data analysis.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 end systems, routers, firewalls, intrusion sensors, and the newly emerging network 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 telemetry 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 intend!
s 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
- HPC, superfacility, 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 networks
- Software-Defined-* technologies
- Storage and archival technologies
- Experiences and practices on systems/network data analysis

Important dates:
Submission deadline: April 3, 2020
Author notification: April 17, 2020
Camera-ready deadline: May 1, 2020
Workshop: June 23, 2020

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=snta2020

Web: https://sdm.lbl.gov/snta/2020/
Contact: SNTA.help@gmail.com

Organizing Committee
Massimo Cafaro, University of Salento, Italy
Jinoh Kim, Texas A&M University-Commerce, USA
Alex Sim, Lawrence Berkeley National Laboratory, USA






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************************************************************************************

Massimo Cafaro, Ph.D.
Associate Professor
Dept. 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@unisalento.it
E-mail cafaro@ieee.org
E-mail cafaro@acm.org

CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro@cmcc.it

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