Concurrent bandwidth scheduling for big data transfer over a dedicated channel
by Liudong Zuo; Michelle M. Zhu; Chase Q. Wu
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 15, No. 2/3, 2015

Abstract: Many applications in various domains are producing colossal amounts of data, now frequently termed as 'big data', which must be transferred over long distances for remote operations. Such data transfer requires dedicated channels with high and stable bandwidth provisioned by high-performance networks (HPNs) through bandwidth reservation. For a data transfer task, from an application user's perspective, a common goal is to achieve the earliest completion time (ECT), while from a network operator's perspective, a common goal is to achieve the shortest duration (SD). In this paper, we investigate the problem of scheduling as many concurrent bandwidth reservation requests (BRRs) as possible over one dedicated channel in an HPN while achieving the average ECT and the average SD of scheduled BRRs. We show that both problems are NP-hard, and propose a heuristic algorithm for each. The performance superiority of the proposed algorithms is illustrated by extensive simulations in comparison with three other algorithms in terms of multiple performance metrics.

Online publication date: Tue, 04-Aug-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 Communication Networks and Distributed Systems (IJCNDS):
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