电力系统自动化Issue(8)：61-66,97,7.DOI:10.7500/AEPS20130620002
一种电力云数据中心的任务调度策略
A Task Scheduling Strategy of Cloud Data Center in Electric Power Corporation
摘要
Abstract
With the construction and development of the integrated monitoring platform of intelligent substation and communication and information platform,the electric power data appears to show an explosive growth.But the existing data centers in electric power corporations suffer low efficiency and are unable to meet the requirements of multi-quality of service (QoS) of electric power users. A multi-QoS evaluation model for electric power users is defined by referring to the characteristics of the data center in an electric power corporation.And based on an analysis of the design scheme for the cloud data center in an electric power corporation and the research on task scheduling strategies of the cloud data center,a load balancing based greedy algorithm is put forward with the target of QoS utility value.Finally,with the substation device condition assessment experiment center as an example,simulation scheduling is made for its tasks of fault diagnosis,condition assessment and repair and maintenance prior to test on the CloudSim platform.The result shows that the algorithm proposed can best satisfy the multi-QoS requirements of electric power users,improve the operating efficiency of data center in electric power corporation,and achieve a better load balancing effect.关键词
云计算/电力数据中心/任务调度/服务质量/分布式存储Key words
cloud computing/data center in electric power corporation/task scheduling/quality of service (QoS)/distributed storage引用本文复制引用
王德文,刘杨..一种电力云数据中心的任务调度策略[J].电力系统自动化,2014,(8):61-66,97,7.基金项目
国家自然科学基金资助项目(61074078) （61074078）
中央高校基本科研业务费专项资金资助项目(12MS113)。@@@@This work is supported by National Natural Science Foundation of China (No.61074078) and Fundamental Research Funds for the Central Universities(No.12MS113) （12MS113）
