论文信息 - Job scheduling algorithm based on fuzzy quotient space theory in cloud environment

Job scheduling algorithm based on fuzzy quotient space theory in cloud environment

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 information 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.

Ping Qi | Long-shu Li

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