Optimising QoS with load balancing in cloud computing applying dual fuzzy technique Online publication date: Wed, 06-Oct-2021
by Chintureena Thingom; Ganesh Kumar R
International Journal of Intelligent Enterprise (IJIE), Vol. 8, No. 4, 2021
Abstract: Cloud computing has become a necessity when the internet usage has increased drastically. This research paper objective is to optimise quality of service in cloud computing using dual fuzzy technique. With the competition to provide the best quality service at cloud data centre, we are analysing the parameters of average response time, average completion time, average CPU utilisation and job success. Cloud-sim simulator along with the mathematical model is used to provide reliable and valid result. To achieve the best result, the load in data centre needs to be efficiently distributed, so that it is managed to process maximum service requests with the best service response time and very few failures. In this paper, we applied dual fuzzy technique for the load balancing in the cloud data centre and the findings were extensive and support the proposed technique. With this technique, cloud computing service provider can provide better quality service.
Online publication date: Wed, 06-Oct-2021
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