Topology-aware approach for reducing power consumption in backbone networks
by Mohammed Hussein; Abdallatif Abu-Issa
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 20, No. 4, 2019

Abstract: According to several studies, line cards are the major source of energy savings in green networks because they contribute up to 42% of the total energy consumption of a backbone router. Since these networks are over provisioned, during periods of low-demands shutting down network links seems like a good approach to reduce energy consumption. In this paper, we propose a novel topology-aware approach to exploit the sleep mode capabilities of links in IP networks. We leverage the algebraic connectivity metric, adopted from spectral graph theory on IP networks in order to identify the set of links, that can be powered off by decreasing the network connectivity the least. Exhaustive searching for the optimal link shutting down is computationally infeasible. Hence, we propose several strategies that select single link for removal, based on topological and spectral metrics. Moreover, the proposed algorithms do not require the knowledge of traffic matrix, being able to run in real-time, where this information would not be available. Results, obtained on real topologies prove that our algorithms are able to achieve performance comparable to a pioneering more complex traffic aware approaches, called benchmark (Zhang et al., 2010) and least-flow (Chiaraviglio et al., 2009).

Online publication date: Fri, 05-Jul-2019

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 Networking and Virtual Organisations (IJNVO):
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