Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
847257 | Optik - International Journal for Light and Electron Optics | 2016 | 6 Pages |
To overcome the problem of virtual machine (VM) scheduling in cloud computing, a novel adaptive VM resource scheduling algorithm based on auction mechanism is presented by considering multiple factors including network bandwidth and auction deadline. First, the sequencing of the clients’ bids is conducted in the given competition deadline. Second, the client group is screened and corresponding VM resource is configured according to the minimum costs of the cloud service providers. Finally, the final payment price can be figured by considering the levels of average payments and competitive payments, so that the tasks clients request can be completed with the given VM resource. The simulation experimental results show that the proposed algorithm can effectively enhance the quality of service of the cloud environment, the profits of cloud service providers and the resource utilization rate of VM.