By Topic

Resource allocation and admission control based on flow congestion probability in MPLS networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yan Jiangzhou ; State Key Lab. on Integrated Services Networks, Xidian Univ., Xian ; Liu Zengji

Multi-protocol label switching (MPLS) technology can provide service differentiation and fast packet forwarding through classifying packets into forwarding equivalence classes (FECs) at edge nodes and label switching in the core. By reserving resources for each FEC in the network and implementing admission control at the ingress nodes, the quality of service (QoS) requirements of flows belonging to a FEC could be met. User traffic in each FEC could be classified according to its traffic characteristics, thus we can calculate the capacity region of each FEC. Furthermore, the probability of flow congestion as the flow number combination has exceeded the capacity region can be found according to the arrival process and duration time of traffic classes. The main contribution of this paper is to present an optimized resource allocation algorithm and an admission control method based on the flow congestion probabilities of an FEC. Such that we can both provide QoS guarantees and improve the efficiency of network resource utilization in MPLS networks.

Published in:

Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on  (Volume:01 )

Date of Conference:

15-18 Feb. 2009