A swarm intelligence-based quality of service aware resource allocation for clouds
by Ashok Kumar; Anju Sharma; Rajesh Kumar
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 34, No. 3, 2020

Abstract: The growing popularity of cloud computing results in very large data centres around the world with vast amount of energy requirements and CO₂ emissions. These large sized data centres demand efficient management of resources to conserve energy while satisfying quality of service (QoS) requirements of the end users. In this paper, a QoS-aware resource allocation approach using ant colony optimisation is proposed. The proposed approach is implemented in CloudSim and comprehensive performance analysis shows upto 12% energy saving.

Online publication date: Mon, 13-Jul-2020

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