RESEARCH ON IMPROVED GRID RESOURCE DISCOVERY ALGORITHM BASED ON P2P NETWORK SYSTEM

被引：0

作者：

Pan Zhao-huan ^{[1
]}

Guo Qing-ping ^{[1
]}

机构：

[1] Wuhan Univ Technol, Dept Comp Sci & Technol, Wuhan 430063, Hubei, Peoples R China

来源：

DCABES 2009: THE 8TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING AND SCIENCE, PROCEEDINGS | 2009年

关键词：

P2P; Grid Resources; Mobile Agent; Genetic Algorithm; Resource Discovery;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

At present, there are still many problems to be resolved in P2P network. For example, it is inefficient to organize and manage the grid resources, and there is no way to deal with resource updating brought by dynamic change of the grid resources, besides, there is no efficient strategy of discovering grid resources, etc. Mobile Agent, which has its own advantages such as mobility, distribution, concurrency and intelligent routing, should be effectively applied to the P2P network system. This paper firstly puts forward the network model of P2P system based on Mobile Agent, under which the resource discovery algorithm-GAMA (Genetic Algorithm Mobile Agent), which is integrated with genetic algorithms and Mobile Agent, has been put forward, then analyze the principle of integration, and show the explanations of integration process as well as more detailed description of the algorithm.

引用

页码：295 / 298

页数：4

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