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Resource-Aware Decentralized Adaptive Computational Offloading & Task-Caching for Multi-Access Edge Computing

Published: 22 June 2019 Publication History

Abstract

Smart technologies or IoT devices have been designed to execute intensive applications that request more computational and other computer system resources. However, those devices have a resource constraint. To address the challenge, we adopt Multi-Access Edge Computing which is a new paradigm that transforms and localize Cloud services and capabilities at the Edge of Radio-Access Network based on proximity for mobile subscribers. In this paper, we proposed a Resource-Aware Decentralized Computing and Caching framework for Multi-Access Edge Computing. So, smart end-user devices work collaboratively and independently with resourceful edge devices or peer devices in close proximity during the unreliable network. Moreover, those devices can offload intensive application or access completed cached tasks to provide efficient resource utilization & Quality of User Experience. The drawback is expressed based on Non-Cooperative Game Theory which is NP-hard to solve and we show that the game concedes a Nash Equilibrium. Our Scheme optimizes computational and storage resources efficiently. We have done exhaustive observation the outcome shows that our scheme provides better performance than the conventional scheme in terms of enhanced storage capability, high Quality of User Experience, and low energy consumption.

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Cited By

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  • (2024)Cooperative Dew Computing for Computational Offloading in Healthcare MonitoringIEEE Access10.1109/ACCESS.2024.349891112(170041-170056)Online publication date: 2024
  • (2020)Congestion‐aware adaptive decentralised computation offloading and caching for multi‐access edge computing networksIET Communications10.1049/iet-com.2020.063014:19(3410-3419)Online publication date: 29-Oct-2020

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cover image ACM Other conferences
HPCCT '19: Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference
June 2019
293 pages
ISBN:9781450371858
DOI:10.1145/3341069
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: 22 June 2019

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Author Tags

  1. Cloud Computing
  2. Computational Offloading
  3. Dew Computing
  4. Distributed Computing
  5. Game Theory
  6. Multi-Access Edge Computing

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Cited By

View all
  • (2024)Cooperative Dew Computing for Computational Offloading in Healthcare MonitoringIEEE Access10.1109/ACCESS.2024.349891112(170041-170056)Online publication date: 2024
  • (2020)Congestion‐aware adaptive decentralised computation offloading and caching for multi‐access edge computing networksIET Communications10.1049/iet-com.2020.063014:19(3410-3419)Online publication date: 29-Oct-2020

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