Font Size: a A A

Based On Chord And Binary Tree Hybrid Hierarchical P2p Network Research

Posted on:2009-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2208360245979234Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Along with the technical and theoretic development of P2P, the distributed applications built on it have been used in many fields. The distributed applications of P2P are supported by structures of P2P network. So research of the structure is very important. Now unstructured and structured network are two typical structures in P2P network. Unstructured P2P network has organized simply. It has high stability, but has low efficiency and unsupported load balance. Structured P2P network has high efficiency and supported load balance, but it isn't suitable for high dynamic network. And when the nodes join and leave frequently, the cost of maintenance is very high.This paper proposes a hybrid hierarchical P2P network (HCBT- Chord and Binary Tree Hybrid Hierarchical P2P Network) by analyzing many P2P network structures. In the network structure, the upper layer is structured network with chord protocol, which introduces virtual peer notion and improves chord protocol. The lower layer is binary tree network, which introduces super peer notion. Super peers which organize and manage the binary tree network are selected by heap selection algorithm. The experiment indicates that it has scalability and high efficiency and stability and supported load balance, and it is suitable for dynamic network environment.P2P storage is one of the P2P technical applications. Every node in the P2P storage system which stores some data leaves temporarily or forever, which induces that some data can't be obtained. So it is defiant when P2P storage system is designed. This paper designs a simple P2P storage model (HCBT-Store), which can keep data durability storage.
Keywords/Search Tags:P2P, Chord, Binary Tree, Super Peer, P2P Storage
PDF Full Text Request
Related items