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Title |
Congestion Hot Spots identification using HITS and Improving Quality of Service |
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Author |
E. Ramaraj, A. Padmapriya |
| Citation |
Vol. 10 No. 8 pp. 34-40 |
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Abstract |
Traffic Engineering (TE) [1] broadly relates to optimization of the performance of a network. The Overlay approach [2] has been widely used by many service providers for Traffic Engineering (TE) in large Internet backbones. In the Overlay approach, logical connections are set up between edge nodes to form a full mesh virtual network on top of the physical topology. IP routing is then run over the virtual network, the Integrated approach [2] runs shortest path IP routing natively over the physical topology. Traffic engineering needs to determine the optimal routing of traffic over the existing network infrastructure by efficiently allocating resource in order to optimize traffic performance on an IP network. Traffic engineering objectives are achieved through carefully routing logical connections over the physical links. Common objectives of traffic engineering include balancing traffic distribution across the network and avoiding congestion hot spots. The Bayesian Networks [3] are used to identify the congestion hot spots in the MPLS. Based on the Conditional Probability Distribution (CPD) the congestion hot spots are identified. Although it is implemented in operational networks, is has a number of well known scaling issues. We propose HITS method to identify the congestion hot spots in MPLS. Once the congestion hot spots are identified then the traffic can be distributed so that no link in the network is either over utilized or under utilized. With this method we can improve the quality of the routing there by avoiding congestion. |
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Keywords |
Traffic Engineering, Congestion hot spots, Conditional Probability Distribution, HITS |
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