Virtual networks dependability assessment framework
by Baker Al-Rubaiey; Jemal H. Abawajy
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 10, No. 1/2, 2017

Abstract: Advances in virtualisation technology have enabled the development of network virtualisation that complements server virtualisation by enabling continuous workload agility irrespective of the network addressing and protocol of the underlying physical network. Despite huge benefits both in cost and accessibility, network virtualisation is susceptible to failure due to a wide variety of factors. Therefore, dependability in a virtualised network environment is a significant issue that need to be addressed before the full benefits of network virtualisation can be exploited. In this paper, we propose a framework to estimate dependability risks in virtual network environments considering variations in the virtual network configurations. The proposed framework uses the reliability block diagram (RBD) and continuous time Markov chains (CTMC) to model and analyse the dependability level of a virtual network. The proposed framework is helpful to the design and construction of more dependable VNE.

Online publication date: Mon, 13-Mar-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 High Performance Computing and Networking (IJHPCN):
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