Abstract: Since the wide use of virtual technology, the resource use rate in cloud data center has been improved effectively than ever before. However, there is still a large space for improvement due to the resources usually are pre-started and pre-allocated by the user demand rather than the actual needs. In order to allocate available resource more accurately, two algorithms were proposed to meet the needs of the daily use in most of time. The available virtual resources would be arranged according the forecast using the algorithms of hierarchical composition of loading and the peek resources needs would be dynamic allocated using the algorithms of stochastic equilibrium and queuing theory. The results of experiment via the system based upon above theories show that the solution provides a kind of very effective advanced means for the optimal use of resources and energy saves.


论文引用格式：庞松涛.基于数据挖掘的电力云资源规划调度.电信科学,2015084
Pang S T.Resource scheduling for cloud data center based on data mining in smart grid.Telecommunications Science,2015084