Optimal Superpeer Selection Based on Load Balance for P2P File-sharing System

被引：2

作者：

Gao, Lu ^{[1
]}

Peng, Min ^{[1
]}

机构：

[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China

来源：

FIRST IITA INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年

关键词：

peer-to-peer; file distribution; super-peer selection; load balance;

D O I：

10.1109/JCAI.2009.165

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The peer-to-peer (P2P) systems have many applications due to their virtues: high scalability and low cost. The systems using super-peers (SPs), which deal with all queries, instead of ordinary-peers (OPs), run more efficiently. So how to choose SPs from all peers is a key, but also a difficult problem because of the systems' heterogeneity and dynamic. In this paper a novel mechanism for the selection of SP is proposed. The selection strategy is based on the dynamic distribution of peers and files in all clusters, and the capacity of the peer is taken into consideration. Through the simulation, the result shows the selection efficiency is improved and the load unbalance among SPs is relieved.

引用

页码：92 / 95

页数：4

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