Title: A swarm intelligence-based quality of service aware resource allocation for clouds

Authors: Ashok Kumar; Anju Sharma; Rajesh Kumar

Addresses: Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India ' Department of Computational Sciences, Maharaja Ranjit Singh Punjab Technical University, Bathinda, India ' Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India

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.

Keywords: energy efficiency; resource utilisation; resource allocation; swarm intelligence; quality of service; QoS.

DOI: 10.1504/IJAHUC.2020.108421

International Journal of Ad Hoc and Ubiquitous Computing, 2020 Vol.34 No.3, pp.129 - 140

Received: 30 Nov 2018
Accepted: 09 Sep 2019
Published online: 13 Jul 2020 *

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