Virtual-Flow Multipath Algorithms for MPLS
by Dario Pompili, Caterina Scoglio, Charles A. Shoniregun
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 1, No. 1/2, 2007

Abstract: Multiprotocol Label Switching (MPLS) can improve the routing efficiency of Internet Protocol (IP) networks through its intrinsic Traffic Engineering (TE) capabilities. In this paper, a centralised and a distributed virtual-flow routing algorithms are proposed, which aggregate IP flows entering the MPLS domain and optimally partition them among virtual flows that are routed on multiple paths. The routing algorithms dynamically select multiple Label Switched Paths (LSPs), taking into account the available bandwidth of links in the network to balance the traffic load and avoid network congestion. The multipath routing problem is formulated as a Multicommodity Network Flow (MCNF) problem, and is solved by implementing online the Dantzig–Wolfe decomposition method. The proposed multipath algorithms are shown through simulations to outperform single-path routing solutions, such as the Constraint Shortest Path First (CSPF) and the Bandwidth-Based Shortest Path (BSPR) routing algorithms.

Online publication date: Fri, 10-Aug-2007

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 Internet Technology and Secured Transactions (IJITST):
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