Title: An energy-efficient data transfer strategy with link rate control for Cloud

Authors: Wenhao Li; Dong Yuan; Yun Yang

Addresses: School of Software and Electrical Engineering, Swinburne University of Technology, John Street, Hawthorn, Victoria, 3122, Australia ' School of Software and Electrical Engineering, Swinburne University of Technology, John Street, Hawthorn, Victoria, 3122, Australia ' School of Computer Science and Technology, Anhui University, 111 Jiulong Road, Hefei, 230601, China; School of Software and Electrical Engineering, Swinburne University of Technology, John Street, Hawthorn, Victoria, 3122, Australia

Abstract: Data transfer is an indispensable step that is widely involved in the maintenance and processing of Cloud data. Due to rapid growth in Cloud data, methods of reducing the huge energy consumption of data transfer in the Cloud have become a challenge. In this paper, we propose a novel energy-efficient data transfer strategy called link rate controlled data transfer (LRCDT). By scheduling bandwidth in a link rate controlled fashion, LRCDT intends to reduce the energy consumption specifically for data transfer that does not require the maximum transfer speed, which is referred to as 'lazy' data transfer, so to achieve the energy-efficient data transfer goal in the overall term. The result in our simulation indicates that LRCDT is able to reduce energy consumption by up to 63% when compared to existing data transfer strategies.

Keywords: energy efficiency; data transfer; link rate control; cloud computing; bandwidth scheduling; simulation; energy consumption.

DOI: 10.1504/IJAACS.2015.073188

International Journal of Autonomous and Adaptive Communications Systems, 2015 Vol.8 No.4, pp.335 - 352

Received: 13 Sep 2013
Accepted: 11 Oct 2013

Published online: 27 Nov 2015 *

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