DocumentCode
2694148
Title
A Stochastic Clustering Algorithm for Swarm Compact Routing
Author
Ma, Huaiyuan ; Wittner, Otto J. ; Helvik, Bjarne E.
Author_Institution
Centre for Quantifiable Quality of Service in Commun. Syst., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear
2009
fDate
1-3 July 2009
Firstpage
1
Lastpage
8
Abstract
The Internet community is still looking for a long term solution for their interdomain routing scalability issues. Compact routing based algorithms are promising candidates. Cowen\´s compact routing scheme is the first stretch-3 scheme found. This paper presents a new swarm-based stochastic clustering algorithm based on Cowen\´s scheme. By simulation and analysis, the stretch distribution of all paths generated by the clustering algorithm is derived. The algorithm is applied as an compact routing scheme on an Internet-like inter-domain topology with 3000 autonomous systems. Conservative analysis (ignoring potential "short cut" paths) output an average stretch of 1.04 and an maximum stretch of 3. Further investigations show that more than 90% of all paths have stretch-1. By manual check of all stretch-3 paths, it is found that the source nodes of these paths have more immediate neighbors than they may include in their neighborhood due to Cowen\´s neighborhood size limit. The simulation results show that each node has around 240 routing entries in total, which is indeed comparable to the Cowen\´s original scheme.
Keywords
Internet; statistical distributions; stochastic processes; telecommunication network routing; telecommunication network topology; Internet; autonomous system; conservative analysis; interdomain topology; stochastic clustering algorithm; stretch distribution; stretch-3 scheme; swarm compact routing; Clustering algorithms; Convergence; IP networks; Proposals; Routing; Scalability; Spine; Stochastic processes; Topology; Web and internet services;
fLanguage
English
Publisher
ieee
Conference_Titel
Next Generation Internet Networks, 2009. NGI '09
Conference_Location
Aveiro
Print_ISBN
978-1-4244-4244-7
Electronic_ISBN
978-1-4244-4245-4
Type
conf
DOI
10.1109/NGI.2009.5175753
Filename
5175753
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