An energy-efficient data transfer strategy with link rate control for Cloud
by Wenhao Li; Dong Yuan; Yun Yang
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 8, No. 4, 2015

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.

Online publication date: Fri, 27-Nov-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Autonomous and Adaptive Communications Systems (IJAACS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com