Secure Access of Folders and Files after Removal of Duplicacy over the Cloud
Автор: A. Archana, N. Kumar, Mohammad Zubair Khan
Журнал: International Journal of Computer Network and Information Security @ijcnis
Статья в выпуске: 1 vol.16, 2024 года.
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Cloud computing is an emerging concept that makes better use of a large number of distributed resources. The most significant issue that affects the cloud computing environment is resource provisioning. Better performance in the shortest amount of time is an important goal in resource provisioning. Create the best solution for dynamically provisioning resources in the shortest time possible. This paper aims to perform resource provisioning with an optimal performance solution in the shortest time. Hybridization of two Meta-heuristics techniques, such as HSMOSA (Hybrid Spider Monkey Optimization with Simulated Annealing), is proposed in resource provisioning for cloud environment. Finds the global and local value using Spider Monkey Optimization's (SMO) social behavior and then utilizes Simulated Annealing (SA) to search around the global value in each iteration. As a result, the proposed approach aids in enhancing their chances of improving their position. The CloudSimPlus Simulator is used to test the proposed approach. The fitness value, execution time, throughput, mean, and standard deviation of the proposed method were calculated over various tasks and execution iterations. These performance metrics are compared with the PSO-SA algorithm. Simulation results validate the better working of the proposed HSMOSA algorithm with minimum time compared to the PSO-SA algorithm.
Cloud Computing, Optimization Technique, Resource Management, Resource Provisioning, Spider Monkey Optimization, Simulated Annealing, Meta-heuristics Techniques
Короткий адрес: https://sciup.org/15018820
IDR: 15018820 | DOI: 10.5815/ijcnis.2024.01.03
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