计算机工程与应用2011，Vol.47Issue(19)：101-104,4.DOI:10.3778/j.issn.1002-8331.2011.19.028
P2P网络基于CPU动态处理能力的超级节点选取
Super node selection based on dynamic processing power of CPU in peer-to-peer networks
摘要
Abstract
In unstructured P2P,the ordinary nodes select a super node by considering synthetically multiple factors such as distance cost,credibility, content similarity,the dynamic processing power of CPU and etc.And the dynamic processing power of CPU exerts the most important factor in all undoubtedly.This paper presents a new approach aiming at how to choose a super node.It predicts the dynamic load of CPU using a Radial Basis Function (RBF) neural network, assesses the dynamic processing power of super node's CPU by the dynamic loading of CPU and provides the information for ordinary nodes, which helps ordinary select a most suitable super node.Though analysis and simulation experience results indicate that this approach can improve performance of the whole system efficiently, system cost reduction of 96% or more.关键词
P2P网络/RBF神经网络/超级节点选取/动态处理能力Key words
P2P( peer-to-peer)/ Radial Basis Function (RBF) neural network/ super node selection/ dynamic processing power分类
信息技术与安全科学引用本文复制引用
陈水平,吴开贵..P2P网络基于CPU动态处理能力的超级节点选取[J].计算机工程与应用,2011,47(19):101-104,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant N0.90818028). （the National Natural Science Foundation of China under Grant N0.90818028）
