Task Scheduling Algorithm Based on Fuzzy Quotient Space Theory in Cloud Environment
Considered the commercialization and the virtualization characteristics of cloud computing,focusing on the problem of high efficiency and effectiveness resource scheduling,the paper proposed for the first time an algorithm of resource scheduling based on fuzzy quotient space theory.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 are defined by the user QoS requirement is studied.Combining with the theory of fuzzy quotient space,fuzzy equivalence partition and distance function are given at last.Based on this,the matching of tasks with resources in cloud environment is implemented.The experimental results show that the algorithm can effectively execute the user tasks and increase resource utilization rate.