云计算下虚拟信息资源大数据特征集成调度  

Integrated Scheduling of Virtual Information Resources in Data Characteristics of Cloud Computing

作　　者：刘迷[1] 

机构地区：[1]武昌工学院经济与管理学院,武汉430065

出　　处：《科技通报》2015年第10期199-201,共3页Bulletin of Science and Technology

基　　金：湖北省教育科学"十二五"规划课题(2013B213);武昌工学院校级教育教学研究项目(2012JY07);湖北省教育厅人文社会科学研究项目(2009b544)

摘　　要：研究大数据环境下基于云计算的虚拟企业信息系统构建和调度模型,通过对云计算环境下的虚拟企业信息资源特征集成调度,提高数据访问和管理能力。传统的集成调度方法采用层次分析法,通过粒子群(PSO)算法进行虚拟企业信息管理存储系统的任务调度,存在信息管理迟滞等问题。提出一种基于模糊循环堆栈控制的虚拟企业信息管理资源信息特征集成调度算法,把虚拟企业信息管理资源信息调度网络的能量节点进行模糊循环堆栈控制设计,得到虚拟企业信息管理资源信息调度配置的权值,实现对虚拟企业信息管理资源的大数据特征融合和集成。仿真实验表明,该算法能有效提高虚拟资源大数据特征集成调度成功率,执行时间缩短,具有较高的应用价值。Research on large data environment based on the construction of virtual enterprise information system based on cloud computing and scheduling model, by calculating the integrated scheduling feature of virtual enterprise information re-sources under the environment of cloud, improve data access and management ability. Integrated scheduling by using the traditional method of AHP, through particle swarm (PSO) task scheduling information management and storage system of virtual enterprise algorithm, problems of information management lag etc.. This paper proposes a fuzzy information manage-ment resource information characteristics of virtual enterprise integrated scheduling algorithm based on stack control cycle, the energy of nodes in virtual enterprise information management resource information dispatch network fuzzy stack control design cycle, obtain the virtual enterprise information management resource information scheduling configuration of weights, to achieve high data feature fusion of information resource management of virtual enterprise and integrated. Simula-tion results show that, the algorithm can effectively improve the success rate of integrated scheduling of large data character-istics of virtual resources, reduce the execution time, and has higher application value.

关 键 词：虚拟企业 云计算 大数据 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]