Analysis of Queuing Model-Based Cloud Data Centers

Cloud computing is the process of allocating the network access admission to a group of selected users having advanced and smart pattern of computing facilities on the plan of usefulness of the network permission for accessing the network resources whenever there is a demand for the facility to be provided from the cloud. It may be a customary term and thus the regular service that was being delivering the required services to the hosts among net. Here, the cloud computing mechanism is employed for describing each list of platforms that were out there to the users for operating and additionally the many styles of applications which will be processed. The current technique was being thought about by most of the analyzers because of the most potential and therefore the most helpful space for the analysis and also for analysis in academe like universities and major research laboratories. Performance analysis of many connected applications and their sub-elements were being thought about in the concert of the helpful and principally used analysis space within the recent years. This method and its services were being employed principally for the suppliers of the cloud and its connected spaces, and therefore, the beneficiaries of this method of area were each supplier of the cloud and therefore the customers associated with the cloud. Solely few notable works are revealed with regard to performance analysis in cloud computing. In General, the analytical models were geared towards the models that use the cloud and its services through the performance of the model, and the current model was analyzed and evaluated for various configurations and assumptions. These assumptions were based on the queuing theory, and its accuracy is verified with numerical calculations and simulations. The present paper deals with the performance evaluation in terms of steady-state parameters of a small cloud server farm using single- and multi-server queuing models. Single-server model includes M/M/1 and M/Er/1. Multi-server model considered includes M/M/c and M/M/c/c. A comparison among the steady-state parameters evaluated for the above queuing models with respect to traffic intensity is also presented.