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Autonomously Reconstructable Semi-Structured P2P Networks for File Sharing

Authors: Kei Ohnishi; Satoshi Nagamatsu; Toshiya Okamura; Yuji Oie;

Autonomously Reconstructable Semi-Structured P2P Networks for File Sharing

Abstract

We propose a semi-structured peer-to-peer (P2P) network for file sharing built from a structured P2P network as a basis for file search together with an unstructured P2P network for access load balancing. This semi-structured P2P network adopts a structured P2P network capable of providing reliable file search as its base structure. In addition, it makes lightly loaded nodes in the structured network construct unstructured P2P networks over which heavily loaded nodes can spread their access load. The semi-structured P2P network is required to dynamically reconstruct its network topology according to changes in node loadings and file search performance. We also propose an autonomic, distributed, and cooperative method for dynamically altering the network topology. In simulation experiments, we first obtain a network topology that ensures reliable file search and is optimal in terms of access load balancing. This is carried out under the (idealized) assumption that the load state of all nodes in the network can be obtained in advance. We also show that the proposed topology reconstruction method yields network topologies with almost the same performance as the optimal configuration.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
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