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SNTA 2021 : The Fourth International Workshop on Systems and Network Telemetry and Analytics (SNTA 2021)

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Link: https://sdm.lbl.gov/snta/2021/
 
When Jun 21, 2021 - Jun 21, 2021
Where Virtual (in conjunction with ACM HPDC)
Submission Deadline Mar 31, 2021
Notification Due Apr 18, 2021
Final Version Due May 2, 2021
Categories    big data   distributed systems   security   machine learning
 

Call For Papers

The Fourth International Workshop on Systems and Network Telemetry and Analytics (SNTA 2021)

Web: https://sdm.lbl.gov/snta/2021/

Important Dates

Submission deadline: March 31, 2021 (extended)
Author notification: April 18, 2021
Camera-ready deadline: May 2, 2021
Workshop: June 21, 2021

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techniques to be outdated, and more scalable techniques may be in place for data-driven and deeper data analysis.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
- 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

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