research-article

CoopEdge: A Decentralized Blockchain-based Platform for Cooperative Edge Computing

Authors:

Yun YangAuthors Info & Claims

WWW '21: Proceedings of the Web Conference 2021

Pages 2245 - 2257

https://doi.org/10.1145/3442381.3449994

Published: 03 June 2021 Publication History

Abstract

Edge computing (EC) has recently emerged as a novel computing paradigm that offers users low-latency services. Suffering from constrained computing resources due to their limited physical sizes, edge servers cannot always handle all the incoming computation tasks timely when they operate independently. They often need to cooperate through peer-offloading. Deployed and managed by different stakeholders, edge servers operate in a distrusted environment. Trust and incentive are the two main issues that challenge cooperative computing between them. Another unique challenge in the EC environment is to facilitate trust and incentive in a decentralized manner. To tackle these challenges systematically, this paper proposes CoopEdge, a novel blockchain-based decentralized platform, to drive and support cooperative edge computing. On CoopEdge, an edge server can publish a computation task for other edge servers to contend for. A winner is selected from candidate edge servers based on their reputations. After that, a consensus is reached among edge servers to record the performance in task execution on blockchain. We implement CoopEdge based on Hyperledger Sawtooth and evaluate it experimentally against a baseline and two state-of-the-art implementations in a simulated EC environment. The results validate the usefulness of CoopEdge and demonstrate its performance.

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cover image ACM Conferences

WWW '21: Proceedings of the Web Conference 2021

April 2021

4054 pages

ISBN:9781450383127

DOI:10.1145/3442381

Editors:
Jure Leskovec
Stanford
,
Marko Grobelnik
Jožef Stefan Institute
,
Marc Najork
Google
,
Jie Tang
Tsinghua University
,
Leila Zia
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Published: 03 June 2021

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https://doi.org/10.4018/979-8-3693-1552-1.ch010
Alwakeel AAlnaim A(2024)Trust Management and Resource Optimization in Edge and Fog Computing Using the CyberGuard FrameworkSensors10.3390/s2413430824:13(4308)Online publication date: 2-Jul-2024
https://doi.org/10.3390/s24134308
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https://doi.org/10.1145/3696004
Zhao YQu YXiang YUddin MPeng DGao L(2024)A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future TrendsACM Computing Surveys10.1145/368027757:1(1-34)Online publication date: 7-Oct-2024
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