Title: Energy optimised resource scheduling algorithm for private cloud computing

Authors: Sudhir Goyal; Seema Bawa; Bhupinder Singh

Addresses: Computer Science and Engineering, Thapar University, Patiala 147004, India ' Computer Science and Engineering, Thapar University, Patiala 147004, India ' Microsoft India (R&D) Ltd., Hyderabad 500 032, India

Abstract: In universities, IT infrastructure is usually non-centralised. Setting up a private cloud setup in academic institutes has an edge over the traditional approach of IT infrastructure distribution to its various departments, schools and centres etc. This work proposes a energy efficient resource management solution specially designed for small and medium sized Infrastructure as a Service (IaaS) cloud in Universities. The proposed algorithm optimises the energy consumption through efficient resource scheduling, virtual machine (VM) consolidation and VM admission control policies. Proposed algorithm has been evaluated by keeping in consideration the number of accepted incoming VM requests and energy consumption of cloud infrastructure. Experimental results reveal that proposed algorithm enhances the acceptance rate of VM requests with the reduction of overall energy consumption of cloud infrastructure.

Keywords: private cloud; energy efficiency; resource management; IaaS; infrastructure as a service; virtual machines; resource scheduling; cloud computing; universities; IT infrastructure; academic institutions; higher education; energy consumption; admission control.

DOI: 10.1504/IJAHUC.2016.078471

International Journal of Ad Hoc and Ubiquitous Computing, 2016 Vol.23 No.1/2, pp.115 - 123

Received: 31 Jan 2014
Accepted: 31 Jul 2014
Published online: 22 Aug 2016 *

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