Performance collection model with agent and server interface for cloud computing

Quality of cloud client include such as Quality of Service (QoS) and Service Level Agreement (SLA), etc. If the users of the cloud client satisfy with the service quality mainly depends on the wholly performance of the cloud center system, which ultimately decided by the usability and stability of the cloud components belong to the cloud. It is necessary to explore a method to gain the prospective stable system status by accurate and well adapted analysis of the performance of the cloud center system. This paper proposes an analysis framework to evaluate comprehensive performance guideline of cloud computing center. Our analysis framework is built based on the performance agent and server interface method (PASI), which consists of PMC, PMA and PMS (CAS), and put forward a mathematical model based on queuing theory to demonstrate the feasibility of this method. Results of the experiment indicate that PASI model effectively evaluate the performance of the cloud center.