Title: An intelligent system resource allocation and computing migration strategy based on edge cloud collaboration

Authors: Jie Wang; Haiming Zhang; Weinan Liu; Jiangjun Yuan

Addresses: Business & Tourism Institute, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, China ' School of Management, Xizang Minzu University, Xianyang, Shanxi, China ' Business & Tourism Institute, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, China ' Business & Tourism Institute, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, China

Abstract: With the explosive growth of terminal data, more and more intelligent system devices are demanding higher computing resources and energy efficiency. Therefore, traditional computing migration methods cannot meet the requirements of low energy consumption for devices. This paper proposes an intelligent computing migration mechanism based on edge cloud collaboration. Specifically, by jointly considering migration decisions, computing offloading and scheduling, caching decisions and cloud node computing resource allocation ratios, an optimisation problem with minimal energy consumption was constructed to ensure that all computing tasks in intelligent terminal devices can be completed. To solve this resource management problem, this paper proposes an intelligent migration based on Chaotic Quantum Cuckoo Search (CQCS). The proposed algorithm integrates chaotic sequences and quantum strategies on the basis of the traditional cuckoo algorithm, thereby enhancing the scalability and flexibility of the algorithm, and improving its global convergence and local search ability.

Keywords: edge cloud collaboration; intelligent systems; resource allocation and management; intelligent computing migration; computing offloading and scheduling; chaotic quantum cuckoo algorithm.

DOI: 10.1504/IJWMC.2025.149199

International Journal of Wireless and Mobile Computing, 2025 Vol.29 No.4, pp.354 - 364

Received: 29 May 2024
Accepted: 06 Sep 2024
Published online: 17 Oct 2025 *

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