基于多Agent技术的云计算任务分解方法研究  

Cloud computing task decomposition method based on multi-agent technology

作　　者：赵莉 李君茹 Zhao Li;Li Junru(College of Information Engineering,Xinyang Agriculture and Forestry University,Xinyang 464000,China)

机构地区：[1]信阳农林学院信息工程学院,河南信阳464000

出　　处：《南京理工大学学报》2022年第3期298-303,共6页Journal of Nanjing University of Science and Technology

基　　金：河南省高等学校重点科研项目计划(22B520029);河南省重点研发与推广专项项目(182102210131)。

摘　　要：针对当前云计算任务分解方法存在网络负载高、任务分解次数多、分解时间和执行时间长的问题,提出基于多Agent技术的云计算任务分解方法。采用与或依赖图分析云计算任务之间存在的联系,根据分析结果采用模糊聚类方法对云计算任务进行聚类处理,在此基础上通过多Agent技术对云计算任务进行分解。实验结果表明,该文方法的网络负载低、任务分解次数少、分解时间与执行时间短。Aiming at the problems of high network load,more task decomposition times,long decomposition time and execution time in current cloud computing task decomposition methods,a cloud computing task decomposition method based on multi-agent technology is proposed.The relationship between cloud computing tasks is analyzed based on and-or dependent graphs,and the fuzzy clustering method is used to cluster cloud computing tasks based on the analysis results.Cloud computing tasks are decomposed using multi-agent technology.The experimental results show that the proposed method has low network load,less task decomposition times,short decomposition time,and short execution time.

关 键 词：云计算 任务分解 与或依赖图 模糊聚类方法 网络负载 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]