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A Survey on Mainstream Dimensions of Edge Computing

Published: 25 September 2021 Publication History

Abstract

Driven by the booming of Internet of Things and 4G/5G communications, an increasingly large number of edge devices, e.g., sensors and cell phones, are continuously producing data service requests, which should be processed in high quality. Recent years have seen a paradigm shift from centralized cloud computing toward edge computing. Edge computing is a distributed computing paradigm that utilizes computing and storage resources of edge devices. Compared with traditional cloud computing, edge computing migrates data computation and storage to the edge devices. Recently many technical breakthroughs have been made in edge computing. This survey reviews existing research on edge computing with a focus on the three mainstream dimensions: resource allocation, data fusion and security. We present specific techniques of the three dimensions and how they can contribute to the improvement of edge computing. Emerging and prospective application fields that would benefit from edge computing are also discussed.

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  • (2025)Blockchain based computing power sharing in urban rail transit: System design and performance improvementFuture Generation Computer Systems10.1016/j.future.2024.06.021163(107381)Online publication date: Feb-2025
  • (2023)Classification of Roadway Infrastructure and Collaborative Automated Driving SystemSAE International Journal of Connected and Automated Vehicles10.4271/12-06-04-00266:4Online publication date: 9-May-2023

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cover image ACM Other conferences
ICISDM '21: Proceedings of the 2021 5th International Conference on Information System and Data Mining
May 2021
162 pages
ISBN:9781450389549
DOI:10.1145/3471287
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 September 2021

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Author Tags

  1. cloud computing
  2. data fusion
  3. edge computing
  4. resource allocation
  5. security

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View all
  • (2025)Blockchain based computing power sharing in urban rail transit: System design and performance improvementFuture Generation Computer Systems10.1016/j.future.2024.06.021163(107381)Online publication date: Feb-2025
  • (2023)Classification of Roadway Infrastructure and Collaborative Automated Driving SystemSAE International Journal of Connected and Automated Vehicles10.4271/12-06-04-00266:4Online publication date: 9-May-2023

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