Joint user offloading association and resource allocation in cloud–edge collaboration system

IF 2.2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-09-19 DOI:10.1016/j.phycom.2025.102848

Xue Jiang , Haie Dou , Lei Wang , Zhijie Xia

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引用次数: 0

Abstract

Cloud–edge collaboration computing is an emerging technology that combines the benefits of edge and cloud computing to reduce latency, improve energy efficiency, and enhance the quality of service for applications on mobile devices (MDs). This paper explores the collaboration between edge and cloud computing to efficiently complete diverse tasks from mobile devices, thereby achieving optimal performance. First, a Quantum Genetic Algorithm (QGA) is introduced to address the user offloading association problem, taking into account load balancing and distance factors. Second, a Genetic Algorithm (GA) determines the optimal solution for task assignment and resource allocation, aiming to minimize latency and energy consumption. Simulation results indicate that the convergence speed of the Quantum Genetic Algorithm is faster than the traditional algorithms when addressing the user offloading association problem. Additionally, the Genetic Algorithm can find the global optimal solution for task assignment and resource allocation issues.

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云边缘协作系统中的联合用户卸载关联与资源分配

云边缘协作计算是一种新兴技术，它结合了边缘计算和云计算的优势，可以减少延迟、提高能源效率，并增强移动设备（MDs）上应用程序的服务质量。本文探讨了边缘计算和云计算之间的协作，以有效地完成来自移动设备的各种任务，从而实现最佳性能。首先，引入量子遗传算法（QGA）来解决用户卸载关联问题，同时考虑了负载均衡和距离因素。其次，采用遗传算法（GA）确定任务分配和资源分配的最优解，以最小化延迟和能耗；仿真结果表明，在解决用户卸载关联问题时，量子遗传算法的收敛速度比传统算法快。此外，遗传算法可以找到任务分配和资源分配问题的全局最优解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.