Moving average fuzzy resource scheduling for virtualized cloud data services
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- 作者：Priya V<sup>asup><sup> ; sup><sup>priya.saravanaraja@gmail.comsup> ; C. Nelson Kennedy Babu<sup>bsup><sup> ; sup><sup>cnkbabu63@gmail.comsup>
- 关键词：Cloud computing ; Data center ; Resource scheduling ; Max Min Fuzzy ; Virtual machine
- 刊名：Computer Standards & Interfaces
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：50
- 期：Complete
- 页码：251-257
- 全文大小：479 K
- 卷排序：50
文摘
Moving Average-based Fuzzy Resource Scheduling (MV-FRS) for virtualized cloud environment to optimize the scheduling of resources through virtual machines. A fuzzy control theory is designed for system accessibility between user cloud requirements and cloud users resources. MV-FRS method is to reduce the total waiting time of cloud user resource requirements and effectiveness of the system accessibility.