2692-4048ISSN (Online)
2770-0070ISSN (Print)
Volume 6 , Issue 1 , PP: 08-16, 2021 | Cite this article as | XML | Html | PDF | Full Length Article
Ahmed N. Al-Masri 1 * , Manal Nasir 2
Doi: https://doi.org/10.54216/FPA.060102
Cloud Computing (CC) becomes a commonly available tool to enable quick, on-demand services from a shared pool of configurable computing resources which can be allocated and utilized. Resource provisioning is a major issue in CC environment which ensures guaranteed outcomes on the applications related to CC. This study introduces an efficient fuzzy c-means clustering (FCM) with hybrid grey wolf optimization (GWO) and differential evolution (DE) algorithm, called FCM-GWODE for resource provisioning in cloud environment. The aim of the FCM-GWODE technique is to allocate the resources in such a way that the resource utilization can be accomplished. In addition, the FCM technique with metaheuristics is applied to partition the resources and scalable searching process can be minimized. Moreover, the GWODE algorithm is derived by resolving the local optima issue of the GWO and improve the population diversity using DE. A comprehensive simulation process takes place using CloudSim tool and the results are inspected interms of several evaluation metrics. The simulation results highlighted the supremacy of the FCM-GWODE technique over the other methods.
Resource provisioning, Cloud computing, Fuzzy clustering, Hybrid algorithms, Resource utilization, GWO algorithm.
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