The 6th Workshop on Edge Systems, Analytics and Networking (EdgeSys'23) aims to bring together system researchers, data scientists, engineers and practitioners to identify open directions and discuss the latest research ideas and results on edge systems, analytics and networking, especially those related to novel and emerging technologies and use cases. EdgeSys focuses on systems, analytics and networking aspects, covering system architecture, distributed ML algorithms, decentralized networking, distributed consensus and ledger techniques, edge services and data analysis.

The topics include but are not limited to the following:

• System Architecture for Edge Computing
• Serverless, In-network Computing
• Edge Storage Systems
• Distributed Machine Learning for Edge Analytics and Services
• Edge-driven Data Analytics
• Lightweight Virtualization for Edge Computing
• Distributed Consensus Algorithms and Ledger Technologies
• Infrastructure and Toolkit for Edge AI
• Trustworthy Edge AI
• Sustainable Edge Computing
• IoT Networking and Communications
• (Autonomous) Management for Edge Systems
• System Performance and Measurement
• Security and Trust Management
• Privacy-Preserving Analytics
• Data Provenance for Distributed Processing
• Heterogeneous & Scalable Orchestration
• Joint Optimization of Network, Computation and Storage Resources

INSTRUCTIONS FOR PAPER SUBMISSION

Authors are encouraged to submit papers describing original and unpublished research, not currently under review in other venues. In particular, innovative, early-stage ideas and preliminary results are welcome. Papers must be submitted electronically as PDF files, formatted for 8.5x11-inch paper. The length of the paper must be no more than 6 pages in the ACM double-column format (10-pt font), including references and everything. Authors are suggested to use the ACM Master article template. The reviews will be single blind. The first page must contain an abstract, the name(s) and affiliation(s) of the author(s), as well as the corresponding contact information. Each submission will receive independent, blind peer reviews from the program committee. Accepted papers will be published in the ACM Digital Library. At least one of the authors of every accepted paper must register and present the paper at the workshop. The program committee will elect one paper for the Best Paper Award.

Submission: https://edgesys23.hotcrp.com/


TPC & General Chairs
• Aaron Ding (TU Delft, Netherlands)
• Ella Peltonen (University of Oulu, Finland)
• Volker Hilt (Nokia Bell Labs, Germany)

Steering Committee
• Jon Crowcroft (University of Cambridge, UK)
• Henning Schulzrinne (Columbia University, USA)
• Steve Uhlig (Queen Mary University of London, UK)
• Dirk Kutscher (HKUST, Hong Kong SAR)
• Dieter Kranzlmüller (University of Munich | LRZ, Germany)
• Peter Pietzuch (Imperial College London, UK)

Publicity Chairs
• Ang Li (Qualcomm AI Research, USA)
• Tobias Meuser (TU Darmstadt, Germany)

Publications Chair
• Atakan Aral (Umeå University, Sweden)

Web Chair
• Dewant Katare (TU Delft, Netherlands)