基于改进GA算法的移动应用存储任务迁移优化研究  

Research on Migration Optimization of Mobile Application Storage Tasks Based on Improved GA Algorithm

作　　者：郑志娴[1] 陈婧[2] ZHENG Zhi-xian;CHEN Jing(Fujian Chuanzheng Communications College,Fujian,Fuzhou 350007;College of Information Science&Engineering,Huaqiao University,Fujian,Xiamen 361021)

机构地区：[1]福建船政交通职业学院,福建福州350007 [2]华侨大学信息学院,福建厦门361021

出　　处：《贵阳学院学报(自然科学版)》2025年第1期87-91,共5页Journal of Guiyang University:Natural Sciences

基　　金：厦门市科技局产学研项目“一种基于多特征融合网络的车辆再识别方法”(2023CXY0221)。

摘　　要：随着网络中的移动设备和应用的不断增加,网络服务器的存储优化面临着前所未有的压力。针对该问题,对现有的移动应用存储任务迁移进行优化。首先,在对迁移问题进行假设和总结后,构建了存储任务迁移多目标模型和函数。其次,以遗传算法为基础,引入了路径跟踪法进行决策优化,最终提出了一种新型最优迁移策略模型。实验结果表明,新模型的生成策略个数平均值为105,最佳策略为7.1个。模型支持下的中央服务器时延最短为3.6秒,能耗最低为8焦耳;边缘服务器时延最低为5.0秒,能耗最低为8焦耳。由此可知,相较于传统算法模型,新模型在处理任务迁移中显著降低了时延和能耗,优化了系统负载。新模型在保持高性能的同时降低了运算复杂度,从而提高了整体系统的可扩展性和可维护性,能够为移动应用存储任务迁移提供一种新的技术方法。With the continuous increase of mobile devices and applications in the network,the storage optimization of network servers is facing unprecedented pressure.In response to this issue,research attempts to optimize the migration of existing mobile application storage tasks.Firstly,after making assumptions and summarizing the migration problem,a multi-objective model and function for storage task migration were constructed.Secondly,based on genetic algorithm,the path tracking method was introduced for decision optimization,and finally a new optimal migration strategy model was proposed.The experimental results show that the average number of strategies generated for the new model is 105,and the optimal strategy is 7.1.Under the support of the model,the shortest delay of the central server is 3.6 seconds,and the lowest energy consumption is 8 joules;the lowest delay of the edge server is 5.0 seconds,and the lowest energy consumption is 8 joules.From this,it can be seen that compared with traditional algorithm models,the new model significantly reduces latency and energy consumption,and optimizes system load in task migration.While maintaining high performance,it reduces computational complexity,thereby improving the overall system's scalability and maintainability,and can provide a new technical method for mobile application storage task migration.

关 键 词：遗传算法 路径跟踪法 移动应用 迁移 策略 

分 类 号：TN929.53[电子电信—通信与信息系统]