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基于“双碳”目标的移动应用开发思路及任务调度框架研究

Research on Mobile Application Development Ideas and Task Scheduling Framework Based on the "Dual Carbon" Target
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摘要 针对手机移动应用领域实现节能减排的问题从移动应用研发和设计角度出发,分析导致耗能的主要因素,从CPU计算、I/O处理、网络传输、定位及动作等维度提出降低手机功耗的优化思路;在当前主流的微服务及容器化架构基础上,以FCFS+SJF为任务排序原则,以AHP模型为任务和资源匹配算法,设计移动应用任务调度效果更优的框架。结果表明:研究在手机端实现了4.8%的节能优化,对于服务器端,在企业级业务量大或高并发的情况下具备明显的节能优化效果;所提任务调度优化框架相较于同类历史算法具备更好的能耗调优效果。研究成果对于“双碳”目标具有较好的推动作用,对于移动应用研发设计领域有一定的借鉴价值。 From the perspective of mobile application development and design,firstly,the main factors that lead to energy consumption were analyzed and the optimization ideas to reduce the power consumption of mobile phones were proposed from the dimensions of CPU computing,I/O processing,network transmission,positioning,and action.Secondly,based on the existing advanced mainstream microservices and containerized architecture,FCFS+SJF was used as the task sorting principle and the AHP model was used as the task and resource matching algorithm to design a framework with better task scheduling effect for mobile applications.The results proved that the research results achieve 4.8%energy saving optimization on the mobile phone side and have significant energy saving optimization effects on the server side for situations with high enterprise-level business volume or high concurrency.Compared to similar historical algorithms,the task scheduling optimization framework proposed in the paper has a more effective energy consumption optimization.The research results have a good driving effect on achieving the"dual carbon"target and have certain reference values for the field of mobile application research and design.
作者 李强 张兴富 桂胜 胡博 LI Qiang;ZHANG Xingfu;GUI Sheng;HU Bo(State Grid Information and Communication Industry Group Co.,Ltd,Beijing,100070,China;不详)
出处 《武汉理工大学学报(信息与管理工程版)》 CAS 2024年第2期317-323,共7页 Journal of Wuhan University of Technology:Information & Management Engineering
基金 国家电网公司科技项目(B368B122115500ZR000000).
关键词 双碳 移动应用节能 调度框架优化 微服务 容器化 层次分析处理模型 dual carbon energy saving for mobile applications optimization of scheduling framework micro services containerization analytic hierarchy process model
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