An Approach of Analysis of Data Centers in Cloud by Dividing the Response Time

Cloud computing is one of the most emerging fields in computer technology. Cloud computing is the delivery of computing services and resources over the Internet. The performance and availability of cloud applications are very important factors for user adoption the revenue of the cloud for the cloud service provider. The latest work on performance analysis of the cloud computing gives approximated analytical model which provides relationship between the input buffer size and number of servers available. It also gives the performance parameters like task blocking probability, immediate service probability, departure probability etc. In current system, the analysis is done only at arrival of requests and departure of responses. We can analyze the processing of the request in various stages of request processing like setup, execution, return& clean up. The analysis of traffic in cloud data centers while processing the requests this much deep level is not done yet. In this paper, we are proposing the idea, need and benefit and results for this much deep level analysis.