Abstract
Cloud computing is a novel raising computing resource allocation. Successful development of cloud computing paradigm necessitates explicit performance evaluation of cloud data centers. The computing resource allocation and performance managing have been one of the most important septets of cloud computing. In this paper, we consider the cloud center as a queuing system with single task arrivals and a task request buffer of infinite capacity. We assess the performance of queuing system by using an analytical model and solve it to obtain important performance factors like mean number of tasks in the system. Using this model in order to evaluate the performance analysis of cloud server farms and obtained solved it to obtain accurate estimation of complete probability distribution of the request response time and other paramount performance indicators.
I. INTRODUCTION
Cloud computing is the Internet-based expansion and use of computer knowledge. It has become an IT buzzword for the past a few years. Cloud computing has been often used with synonymous terms such as software as a service, grid computing, cluster computing, autonomic computing, and utility computing [1].
CONCLUSION
In this paper, we proposed model for performance evaluation of a cloud computing data centre with queue. We assessed the performance of queuing system by using an analytical model and solved it to obtain important performance factors like mean number of tasks in the system. Using this model in order to evaluate the performance analysis of cloud server farms and obtained solved it to obtained accurate estimation of complete probability distribution.
