Artificial Bee Colony Algorithm with Multi-objective in Collaboration Edge Computing

This work introduces a novel advancement to edge computing by introducing a multi-objective optimization approach. The primary objective of this study is to address the existing research challenges associated with integrating edge computing and Internet of Things (IoT) devices. The utilization of an artificial bee colony technique has led to a decrease in both response time and energy usage within edge computing environments. A formulation of an optimization algorithm based on edges is proposed in order to effectively optimize the trade-off between response time and energy cost. The proposed method exhibits encouraging outcomes through meticulous evaluation in substantially decreasing response time and enhancing energy efficiency. This pioneering approach highlights the potential of the artificial bee colony algorithm as a robust algorithm for enhancing the performance of collaborative edge computing systems.

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Publication Details

Journal
International Journal of Cooperative Information Systems
Published
2025-02-28
DOI
https://doi.org/10.1142/s0218843025500017
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Bee Colony Algorithm with Multi-objective in Collaboration Edge Computing

Shengwu Xiong, Prabhat Ranjan Singh, Ahmed A. Abdulhamed, Tanya Shakir Jarad
International Journal of Cooperative Information Systems
Collaboration in agile enterprises
article

Artificial Bee Colony Algorithm with Multi-objective in Collaboration Edge Computing

Shengwu Xiong, Prabhat Ranjan Singh, Ahmed A. Abdulhamed, Tanya Shakir Jarad
article en

Abstract

This work introduces a novel advancement to edge computing by introducing a multi-objective optimization approach. The primary objective of this study is to address the existing research challenges associated with integrating edge computing and Internet of Things (IoT) devices. The utilization of an artificial bee colony technique has led to a decrease in both response time and energy usage within edge computing environments. A formulation of an optimization algorithm based on edges is proposed in order to effectively optimize the trade-off between response time and energy cost. The proposed method exhibits encouraging outcomes through meticulous evaluation in substantially decreasing response time and enhancing energy efficiency. This pioneering approach highlights the potential of the artificial bee colony algorithm as a robust algorithm for enhancing the performance of collaborative edge computing systems.

International Journal of Cooperative Information SystemsVol. 34(04)
Wuhan University of Technology (CN), University of Anbar (IQ), Wuhan College (CN), University of Petroleum and Energy Studies (IN)
Openalex Percentile: Top 96%
Collaboration in agile enterprises
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