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EdgeSys 2021 : The 4th International Workshop on Edge Systems, Analytics and Networking

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Link: https://edge-sys.github.io/2021/
 
When Apr 26, 2021 - Apr 26, 2021
Where Edinburgh, Scotland, UK
Submission Deadline Feb 26, 2021
Notification Due Mar 26, 2021
Final Version Due Apr 5, 2021
Categories    distributed systems   sensor networks   data analytics   privacy
 

Call For Papers

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The 4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys'21) co-located with EuroSys 2021
26 April, 2021 | Edinburgh, Scotland, UK
https://edge-sys.github.io/2021/
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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 4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys'21), in conjunction with ACM EuroSys 2021, 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. The EdgeSys'21 workshop 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.

Over the past three years, EdgeSys has been gathering substantial community contributions in edge computing domain - especially with high quality TPC, keynotes, panel and technical papers from US, Europe, and Asia, including Google, Amazon, Facebook, Microsoft Research, Intel, IBM, Nokia, Samsung, Toyota, Telefonica, MIT, Berkeley, Columbia, Yale, UCLA, Cambridge, Imperial, EPFL, TU Delft, MPI, TUM, Tsinghua, Peking and Fudan.

The topics include but are not limited to the following:

- System Architecture for Edge Computing
- Serverless and In-network Computing (P4)
- Edge Storage Systems
- Edge-driven Data Analytics
- Distributed Machine Learning for Edge Analytics and Services
- Edge Security and Privacy
- Lightweight Virtualization for Edge Computing
- Distributed Consensus Algorithms and Ledger Technologies
- Infrastructure and Toolkit for Edge Computing and Analytics
- System Performance and Measurement
- Edge Networking and IoT Communications
- (Autonomous) Management of Edge Systems
- TinyML for Edge Systems
- Machine Learning for Edge Networking
- Security and Trust Management

Keynote Speakers:
Volker Hilt (Nokia Bell Labs, Germany)
Eyal de Lara (University of Toronto, Canada)

Workshop & TPC Chairs:
Aaron Ding (TU Delft, Netherlands)
Richard Mortier (University of Cambridge, UK)

Steering Committee:
Jon Crowcroft (University of Cambridge, UK)
Henning Schulzrinne (Columbia University, USA)
Steve Uhlig (Queen Mary University of London, UK)
Dirk Kutscher (Hochschule Emden, Germany)
Dieter Kranzlmuller (University of Munich | LRZ, Germany)
Peter Pietzuch (Imperial College London, UK)

Technical Program Committee:
Antonio Barbalace (University of Edinburgh, UK)
Yang Chen (Fudan University, China)
Claudio Cicconetti (IIT-CNR, Italy)
Ferran Diego (Telefónica Research, Spain)
Lars Eggert (NetApp, Finland)
Bryan Ford (EPFL, Switzerland)
James Gross (KTH, Sweden)
Paola Grosso (University of Amsterdam, Netherlands)
Geert Heijenk (University of Twente, Netherlands)
Wenjun Hu (Yale University, USA)
Junchen Jiang (University of Chicago, USA)
Sven Karlsson (DTU, Denmark)
Matthias Kovatsch (Huawei Research, Germany)
Shen Li (Facebook, USA)
Grace Liu (CMU, USA)
Jonathan Mace (MPI, Germany)
Iqbal Mohomed (Samsung AI, Canada)
Roberto Morabito (Princeton University | Ericsson, USA)
Shadi Noghabi (Microsoft Research, USA)
Jörg Ott (TUM, Germany)
Qifan Pu (Google, USA)
Eve Schooler (Intel, USA)
Pieter Simoens (imec - Ghent University, Belgium)
Georgios Smaragdakis (TU Berlin, Germany)
Burkhard Stiller (University of Zurich, Switzerland)
Nikolay Tcholtchev (Fraunhofer FOKUS, Germany)
Shiqiang Wang (IBM, USA)
Martijn Warnier (TU Delft, Netherlands)
Chenren Xu (Peking University, China)
Ennan Zhai (Alibaba, USA)
Fusang Zhang (Chinese Academy of Science, China)

Publicity Chair:
Matthew Danish (University of Cambridge, UK)

Web Chair:
Wiebke Toussaint (TU Delft, Netherlands)

Submission Guidelines:
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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. The 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 select one paper for the Best Paper Award.

Authors of accepted papers will have the option to fast-track their paper for consideration by the new diamond open-access Journal of Systems Research (JSys, https://escholarship.org/uc/jsys/cfp). This will cause a JSys submission placeholder to be created and the EdgeSys reviews to be forwarded. Authors will then be expected to provide an extended copy of their accepted EdgeSys paper for consideration by the JSys reviewers within 6 months, or their paper will be removed from consideration under the fast-track to JSys. For more information about this process, please contact the JSys Area Editor for Edge Systems, Richard Mortier (richard.mortier@cl.cam.ac.uk).

Submission deadline: 26 February 2021
Acceptance notification: 26 March 2021
Camera-ready: 5 April 2021
Workshop date: 26 April 2021
Submission Link: https://edgesys21.hotcrp.com/

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