Call for Papers
The Sixth Workshop on Systems and Network Telemetry and Analytics (ACM SNTA’23)
in conjunction with HPDC 2023 (http://www.hpdc.org/2023/)
Orlando, Florida, United States, June 16 - 23, 2023

This year, our workshop will take place at Orlando, Florida, United States, June 16 - 23, 2023 as part of the ACM Federated Computing Research Conference (FCRC): CHASE, CRA-E, CRA-I, e-Energy, HPDC, ICS, ISCA, IWQoS, PADS, PLDI, PODC, SIGMETRICS, SPAA, STOC.


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 Such changes will render the existing telemetry and analysis techniques outdated, and more scalable techniques may be in place for data-driven and deeper data analysis.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 be able to provide an intuitive, comprehensive view of the systems and network 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
- Data-driven, multivariate, streaming-based data processing
- Distributed and federated machine learning
- Cybersecurity, forensics, privacy, and anonymization
- 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
- Intelligent workflow, visualization, and applications
- Performance modeling, analysis, and engineering
- Design and evaluation of HPC and distributed systems
- Best practices and implementations tied to systems/network data analysis


Important dates:
Submission deadline: March 31, 2023
Author notification: April 14, 2023
Camera-ready deadline: May 2, 2023
Workshop date: June 20, 2023


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=snta23


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


Contact: SNTA.help@gmail.com