Analyzing the Performance of M/G/1 and M/Er/1 Queuing Models on Data Centers
AUTHORS
N. Thirupathi Rao,Department of Computer Science & Engineering Vignan’s Institute of Information Technology Visakhapatnam, AP, India
Debnath Bhattacharyya,
ABSTRACT
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's a demand for the facility to be provided from the cloud. It may be a customary term and thus the regular service that was delivering the required services to the hosts among net. Here, the cloud computing mechanism is employed for describing each the 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. Solely few notable works are revealed with regards to performance analysis in cloud computing. Generally the analytical models were geared toward coming up with the models that use the cloud and its services through that the performance of the model was analyzed and evaluated below numerous configurations and assumptions. These assumptions were based on the queuing theory and its accuracy is verified with numerical calculations and simulations. 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/G/1 and M/Er/1.
KEYWORDS
Cloud computing, Queuing models, Performance parameters, Traffic intensity
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