Abstract
Cloud computing is one among the emerging platforms in business, IT enterprise and mobile computing applications. Resources like Software, CPU, Memory and I/O devices etc. are utilized and charged as per the usage, instead of buying it. A Proper and efficient resource allocation in this dynamic cloud environment becomes the challenging task due to drastic increment in cloud usage. Various promising technologies have been developed to improve the efficiency of resource allocation process. But still there is some incompetency in terms of task scheduling and power consumption, when the system gets overloaded. So an energy efficient task scheduling algorithm is required to improve the efficiency of resource allocation process. In this paper an improved task scheduling and an optimal power minimization approach is proposed for efficient dynamic resource allocation process. Using prediction mechanism and dynamic resource table updating algorithm, efficiency of resource allocation in terms of task completion and response time is achieved. This framework brings an efficient result in terms of power reduction since it reduces the power consumption in data centers. The proposed approach gives accurate values for updating resource table. An efficient resource allocation is achieved by an improved task scheduling technique and reduced power consumption approach. The Simulation result gives 8% better results when comparing to other existing methods.
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30 May 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12652-022-03970-2
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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12652-022-03970-2
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Praveenchandar, J., Tamilarasi, A. RETRACTED ARTICLE: Dynamic resource allocation with optimized task scheduling and improved power management in cloud computing. J Ambient Intell Human Comput 12, 4147–4159 (2021). https://doi.org/10.1007/s12652-020-01794-6
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DOI: https://doi.org/10.1007/s12652-020-01794-6