A swarm intelligence-based quality of service aware resource allocation for clouds. (6th July 2020)

• Record Type: Journal Article
• Authors: Kumar, Ashok; Sharma, Anju; Kumar, Rajesh
• Is Part Of: International journal of ad hoc and ubiquitous computing. Volume 34:Number 3(2020)
• Page Start: 129
• Page End: 140
• Publication Date: 2020-07-06
• Subjects: energy efficiency -- resource utilisation -- resource allocation -- swarm intelligence -- quality of service -- QoS; Ubiquitous computing -- Periodicals; Embedded computer systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Wireless communication systems -- Periodicals; Computer architecture -- Periodicals; 004.2
• Languages: English
• ISSNs: 1743-8225

Abstract

The growing popularity of cloud computing results in very large data centres around the world with vast amount of energy requirements and CO 2 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.