Title: An adaptive technique for cost reduction in cloud data centre environment

Authors: Hesham M. Elmasry; Ayman E. Khedr; Mona M. Nasr

Addresses: Information Systems Department, Faculty of Commerce and Business Administration, Future University in Egypt, Cairo, Egypt ' Information Systems Department, Faculty of Computers and Information Technology, Future University in Egypt, Cairo, Egypt ' Information Systems Department, Faculty of Computers and Information, Helwan University, Cairo, Egypt

Abstract: The developing interest for utilising the Cloud Computing (CC) has expanded the energy consumption of data centres which has become a critical issue. High energy consumption not only is translated to high operational cost but also reduces the profit margin for the cloud providers and leads to high carbon emissions, which are not environmentally friendly. Therefore, there is a need for energy-saving solutions to minimise the negative impact of CC. This research proposes an Energy Saving Load Balancing (ESLB) technique that plans to make energy saving in the cloud server while keeping up the Service Level Agreement (SLA), which includes the Quality of Service (QoS) between the cloud service provider and cloud customers. This proposed technique aims to enhance the performance, resources' utilisation and reduce the both of energy consumption and carbon dioxide in order to mitigate the negative impact of CC on the environment.

Keywords: data centre; energy efficiency; GCC; green cloud computing; load balancing; QoS; quality of service; data science; big data; data modelling; data mining.

DOI: 10.1504/IJGUC.2019.102011

International Journal of Grid and Utility Computing, 2019 Vol.10 No.5, pp.448 - 464

Received: 25 Sep 2018
Accepted: 26 Oct 2018
Published online: 03 Sep 2019 *

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