An Optimization Scheduling Approach for Cloud Computing

Abstract

This research proposes to use the Task Scheduler in the cloud computing model to improve the allocation of resources of cloud computing. The allocation of resources and application of cloud computing could be more in line with user demand and to reach the best application of the time and the funding source. We simulate the work in accordance with the needs of the user classifying parameters. In addition, the scheduling parameters can also access the usage state of CPU, which is taken in every service of host computer as the parameter. We have the cloud computing and the queuing theory on the basis and the simulation of users in accordance with demand category of parameters. Moreover, scheduling the parameters can access to the Internet usage or a singlet time to do the parameters. We use the cloud computing through queuing theoretical models of the produced data that try to classify the best of the model, to provide an effective feasibility of proposals and to help resolve the cloud computing user could provide a basis as well as to achieve more closely user’s computer resource requirements.