Edinburgh


Workshop Submission

Call For Papers

Given the growing demand for real-time gathering and processing of vast amount of data from data-intensive services such as autonomous driving and augmented reality (AR), we are witnessing a visible trend to push computing and data analytics closer to the edge of networks for benefits in low latency, reliability, throughput, security and privacy. Supported by lightweight virtualization technologies such as Docker Containers and Unikernels, the decentralized edge computing paradigm aims to offer efficient access to various geographically distributed computing resources. In this context, the EdgeSys workshop focuses on the confluence of edge computing, decentralized communication and distributed computing. For example, there are several industry-led edge computing and orchestration platforms such as KubeEdge, Firecracker, and Azure Sphere. In the decentralized communication space, systems such as Mastodon and Matrix have been developed. There are also lots of academic research activities on mobile data and computation offloading (e.g., Cloudlet, Talket, ThinkAir, MAUI, and MADNet) and systems that combine decentralization and computation/storage offloading together, such as IPFS. In addition, as data analytics and machine learning are increasingly offered as a service, the next phase of evolution is to extend the offerings beyond basic algorithms and push the analytics closer to the edge where the data from users and devices is first captured. In this regard, edge computing has the potential to enable a new class of real-time data analytics platforms and services. We expect such edge-driven data analytics will emerge and reshape the existing cloud-based data processing pipelines. The knowledge from this new edge pipeline can further power future cyber-physical and network services, such as cognitive assistance and proactive accident prevention for autonomous driving.

The 7th Workshop on Edge Systems, Analytics and Networking (EdgeSys'24) 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
  • Distributed Machine Learning for Edge Analytics and Services
  • Generative AI on Edge
  • Edge Storage Systems
  • 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
  • Serverless, In-network Computing
  • Joint Optimization of Edge Network, Computation and Storage Resources

Submission Guidelines

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: EdgeSys@HotCRP

Important Dates

  • Submission deadline: 23 February 2024
  • Acceptance notification: 22 March 2024
  • Camera ready: 29 March 2024
  • Workshop date: 22 April 2024

Camera-ready instructions

Deadline: The camera-ready needs be submitted through HotCRP page EdgeSys@HotCRP by 11:59 p.m., (Central European Time - CET) on Friday, 29th of March.

Rights forms: In your paper’s HotCRP page EdgeSys@HotCRP you will find a link to the ACM copyright form. Once completed, ACM will send you the information and Latex directives (DOI, ISBN, etc.) needed to complete the camera-ready version of your paper.

Camera-ready format: You should use acmart document class (the same used for submission), as follows: \documentclass[sigconf,9pt]{acmart}.

You’ll receive the instruction regarding some Latex directives (\setcopyright, \acmConference, \acmDOI, etc.) after completing the copyright form. All accepted papers can use up to 6 pages including references and everything.

Note that Type 1 fonts (scalable) should be used, not Type 3 (bit-mapped), and that all fonts must be embedded. Type and embedding of fonts can be checked with various tools including “pdffonts”. Page numbers should be suppressed. Make also sure that the PDF is searchable by testing the search function in a PDF reader.

Uploading final versions: The final version of your paper should be uploaded through EdgeSys@HotCRP. As a reminder, the camera-ready deadline for all papers is 11:59 p.m., (Central European Time - CET) on Friday, the 29th of March.

In case of questions, please contact publications chair Atakan Aral atakan.aral@umu.se