Job Scheduling Algorithm Based on Fuzzy Quotient Space Theory in Cloud Environment

被引：0

作者：

Qi, Ping ^{[1
]}

Li, Long-shu ^{[1
]}

机构：

[1] Anhui Univ, Coll Comp Sci & Technol, Hefei 230039, Anhui, Peoples R China

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC 2012) | 2012年

关键词：

Resource scheduling; Fuzzy quotient space; Cloud computing;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Focusing on the problem of high efficiency resource scheduling in cloud computing environments, the model of cloud resource scheduling is systematically analyzed in theory at first, Combining with the fuzzy quotient space theory, a cloud resource scheduling algorithm is proposed. In the resource scheduling process, each virtual machine attribute is abstracted as an attribute in formation granulation at first. Then the multi-attribute information granulation according to their granular weight, which defined by the user QoS requirement is studied. Experimental results conclusively demonstrate the effective implementation of user tasks in cloud computing environments.

引用

页码：388 / 393

页数：6

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