1 research outputs found
Towards Limited Scale-free Topology with Dynamic Peer Participation
Growth models have been proposed for constructing the scale-free overlay
topology to improve the performance of unstructured peer-to-peer (P2P)
networks. However, previous growth models are able to maintain the limited
scale-free topology when nodes only join but do not leave the network; the case
of nodes leaving the network while preserving a precise scaling parameter is
not included in the solution. Thus, the full dynamic of node participation,
inherent in P2P networks, is not considered in these models. In order to handle
both nodes joining and leaving the network, we propose a robust growth model
E-SRA, which is capable of producing the perfect limited scale-free overlay
topology with user-defined scaling parameter and hard cut-offs. Scalability of
our approach is ensured since no global information is required to add or
remove a node. E-SRA is also tolerant to individual node failure caused by
errors or attacks. Simulations have shown that E-SRA outperforms other growth
models by producing topologies with high adherence to the desired scale-free
property. Search algorithms, including flooding and normalized flooding,
achieve higher efficiency over the topologies produced by E-SRA