DocumentCode :
1336949
Title :
Topology aggregation schemes for asymmetric link state information
Author :
Yoo, Younghwan ; Ahn, Sanghyun ; Kim, Chong Sang
Author_Institution :
School of Computer Science and Engineering, Seoul National University, Seoul, Korea
Volume :
6
Issue :
1
fYear :
2004
fDate :
3/1/2004 12:00:00 AM
Firstpage :
46
Lastpage :
59
Abstract :
In this paper, we present two algorithms for efficiently aggregating link state information needed for quality-of-service (QoS) routing. In these algorithms, each edge node in a group is mapped onto a node of a shufflenet or a node of a de Bruijn graph. By this mapping, the number of links for which state information is maintained becomes aN (a is an integer, N is the number of edge nodes) which is significantly smaller than N2 in the full-mesh approach. Our algorithms also can support asymmetric link state parameters which are common in practice, while many previous algorithms such as the spanning tree approach can be applied only to networks with symmetric link state parameters. Experimental results show that the performance of our shufflenet algorithm is close to that of the full-mesh approach in terms of the accuracy of bandwidth and delay information, with only a much smaller amount of information. On the other hand, although it is not as good as the shufflenet approach, the de Bruijn algorithm also performs far better than the star approach which is one of the most widely accepted schemes. The de Bruijn algorithm needs smaller computational complexity than most previous algorithms for asymmetric networks, including the shufflenet algorithm.
Keywords :
Accuracy; Bandwidth; Complexity theory; Delays; Network topology; Peer-to-peer computing; Topology; Topology aggregation; link state protocol;
fLanguage :
English
Journal_Title :
Communications and Networks, Journal of
Publisher :
ieee
ISSN :
1229-2370
Type :
jour
DOI :
10.1109/JCN.2004.6596987
Filename :
6596987
Link To Document :
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