Abstract: There are many problems of high energy consumption,low efficiency,and waste,which can be solved by cloud computing.However,what rate of resource utilization has been improved by cloud computing and what influence should be figured．This paper gave a brief description on the campus-wide cloud computing platform,analyzed the cost of the datacenter and the user instances,put forward a cost-utility function,made a Markov queuing model,researched the resource allocation and scheduling policies,used CloudSim to simulate the Markov queuing model,discussed the optimization strategies．By madding and simulating the model,the rate of resource utilization in the campus network can be improved evidently and the cost can be reduced,or the QoS can be improved by using proper policy.

Key words: Markov queuing model,Campus-wide cloud computing platform,Utility analyzing