An improved trusted method for global congestion price computing based on software defined networking in data-centred network
by Shan Chun; Chen Xiao-Long
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 11, No. 2/3, 2018

Abstract: The past computing method of the link status price is difficult to meet the needs of dynamic network. This paper is presented to take full advantage of the feature that the global link status information can be grasped by the central controller of software defined networking (SDN) architecture and proposed a two-tier trusted method for global congestion price computing (GCPC). The ratio argument vector B is given by the upper-tier method with the machine learning algorithm and fuzzy C-means clustering algorithm according to the global network operating status information. The link status price is computed according to ratio argument vector B. The simulation results show that the link status price calculated by GCPC method is trusted and this improved method can efficiently promote the throughput of bisection bandwidth.

Online publication date: Thu, 24-May-2018

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 Intelligent Information and Database Systems (IJIIDS):
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