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This letter presents a complex network model for the BitTorrent; the most popular peer-to-peer network. Three important topological characteristics; (i) degree distribution, (ii) clustering coefficient and (iii) average path length of this network are analytically modeled. The analytical computations are confirmed by simulations. Moreover, the accuracy of the proposed model was confirmed by exploiting...
This work presents a study on the fault-tolerance of unstructured P2P overlays, modeled as complex networks. A framework is proposed to derive the peers' degree distribution, once the P2P system is described through the evolution laws characterizing the distributed protocol, the attachment and failure rates. From the degree distribution, estimations may be derived on the mean number of m-neighbors,...
In this work, we address the problem of locally estimating the size of a natural network using local information: fitting the sum of new neighbors discovered at step of a breadth-first search (BFS) with a logarithmic function we determined as a ln(Γ(i))e + b. With rather little computation, we reach an estimation error of at most five percent, only allowing the BFS to visit at most ten percent of...
Random scale-free overlay topologies provide a number of properties like for example high resilience against failures of random nodes, small (average) diameter as well as good expansion and congestion characteristics that make them interesting for the use in large-scale distributed systems. A number of these properties have been shown to be influenced by the exponent of their power law degree distribution...
Propose an evolution model for Peer-to-Peer (P2P) file-sharing systems, which try to capture the dynamic properties of P2P application networks. The model consists of four events: node joining, node departure, connection establishing and connection breaking, which captures the most important events in constructing network topology. The evolution model results in a differential equation about degree...
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