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Markov chain model and PSO technique for dynamic heuristic resource scheduling for system level optimization of cloud resources


Article Information

Title: Markov chain model and PSO technique for dynamic heuristic resource scheduling for system level optimization of cloud resources

Authors: Shrabanee Swagatika, Amiya Kumar Rath, Prasant Kumar Pattnaik

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 3

Language: English

Categories

Abstract

Cloud computing options a versatile computing infrastructure for large scale processing needs effective load equalization and migration of the cloud resources for rising the energy potency and resource utilization. The instructed resource allocation technique considers numerous parameters like migration time, waiting time, QoS, resource utilization etc. for effective and economical virtualized resource management and allocation. This paper aims at dispatching the computation load to any or all process nodes within the cloud computing atmosphere by considering the physical employment on every node therefore on stop bias during arranging computation resources and therefore improve the general computing performance in a heterogeneous cloud atmosphere.


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