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2007 International Symposium on Applications and the Internet (SAINT'07)
On the Effect of Scale-Free Structure of Network Topology on End-to-End Performance
Hiroshima, Japan
January 15-January 19
ISBN: 0-7695-2756-6
Hiroyuki Ohsaki, Osaka University, Japan
Koutaro Yagi, Osaka University, Japan
Makoto Imase, Osaka University, Japan
In recent years, it has been reported that several existing networks including the Internet have scale-free structure. In this paper, through a simple numerical analysis, we investigate effect of the scale-free structure of communication networks on their end-to-end performance. As network topologies, a random network and a scale-free network with the equal number of nodes and the equal number of links are used. We compare end-to-end performance of flows (i.e., throughput) in both random and scale-free networks. Consequently, we show that when the average degree of a network is small (i.e., whah the number of links is small), a scale-free network shows better end-to-end performance. On the contrary, when the average degree of a network is large (i.e., when the number of links is large), we show that a random network shows better end-to-end performance.
Index Terms:
Random Network, Scale-free Network, BA (Barabasi-Albert) Model, End-to-End Performance
Citation:
Hiroyuki Ohsaki, Koutaro Yagi, Makoto Imase, "On the Effect of Scale-Free Structure of Network Topology on End-to-End Performance," saint, pp.12, 2007 International Symposium on Applications and the Internet (SAINT'07), 2007
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