移动云计算工作流任务动态调度模型研究  

Research on dynamic scheduling model of workflow tasks in mobile cloud computing

作　　者：李永刚 LI Yonggang(Shaanxi Post And Telecommunication College,Xianyang Shanxi 712000,China)

机构地区：[1]陕西邮电职业技术学院,陕西咸阳712000

出　　处：《自动化与仪器仪表》2021年第10期21-24,共4页Automation & Instrumentation

基　　金：基于1+X证书制度背景下人才培养模式改革的探索与实践(No.19GY031),陕西高等教育教学改革研究项目。

摘　　要：为提高移动云计算工作流任务动态调度适应度水平,设计了一种移动云计算工作流任务动态调度模型。构建移动云计算工作流任务动态调度的群体决策模型参数集,采用多尺度和多标度的特征分析方法对移动云计算工作任务流的偏好信息进行集结和聚类处理,构建移动云计算工作流任务动态特征演化聚类分析模型,通过偏最小二乘法得到移动云计算工作流任务动态信息流回归参数,根据各个属性权重向量分配结果,实现移动云计算工作流任务动态调度的模糊聚类处理,最后,根据信息聚类结果实现移动云计算工作流任务动态自适应调度。实验结果显示,该方法进行移动云计算工作流任务调度时动态分布性较好,综合评价能力较强,以期为提高移动云计算工作流任务分配的自适应性提供一定帮助。In order to improve the adaptability level of mobile cloud computing workflow task dynamic scheduling, a mobile cloud computing workflow task dynamic scheduling model is designed. The parameter set of group decision model for dynamic scheduling of mobile cloud computing workflow tasks is constructed, the preference information of mobile cloud computing workflow task flow is aggregated and clustered by using multi-scale and multi-scale feature analysis methods, and the dynamic feature evolution cluster analysis model of mobile cloud computing workflow tasks is constructed, The dynamic information flow regression parameters of mobile cloud computing workflow tasks are obtained by partial least square method. According to the distribution results of each attribute weight vector, the fuzzy clustering processing of mobile cloud computing workflow task dynamic scheduling is realized. Finally, the dynamic adaptive scheduling of mobile cloud computing workflow tasks is realized according to the information clustering results. The experimental results show that this method has good dynamic distribution and strong comprehensive evaluation ability in mobile cloud computing workflow task scheduling, in order to provide some help to improve the adaptability of mobile cloud computing workflow task allocation.

关 键 词：能量感知 移动云计算 工作流 任务 动态调度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]