Energy-efficient virtual network embedding in networks for cloud computing
by Xiang-Wei Zheng; Bin Hu; Dian-Jie Lu; Zhen-Hua Chen; Hong Liu
International Journal of Web and Grid Services (IJWGS), Vol. 13, No. 1, 2017

Abstract: Cloud computing is based on several service models such as Network as a Service (NaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). NaaS is a business model that aims to provide virtual network (VN) services over the internet from shared cloud data centres. Virtual network embedding (VNE) is one of the core technologies in NaaS resource allocation. In view of the enormous energy consumption by numerous cloud data centres, energy-efficient VNE becomes a new research focus. In this paper, we propose an energy efficient virtual network embedding (EEVNE) approach for cloud computing networks, in which power savings are introduced by consolidating resources in the network and data centres. EEVNE is based on the evaluation of the energy consumption by hosts, the allocation of virtual resources both in nodes and links, as well as the cost and revenue in network virtualisation. We also formulated a heuristic embedding algorithm based on Group Search Optimiser (GSOVNE) to solve the NP-hard problem. Furthermore, a reconfiguration algorithm is developed to improve the utility of fragmented resources. Simulation experiments show that the proposed algorithm can effectively increase VN acceptance ratio and reduce energy consumption when large quantities of virtual networks arrive and depart over time.

Online publication date: Mon, 06-Feb-2017

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 Web and Grid Services (IJWGS):
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