ERAntBudget: A Search Algorithm in Unstructured P2P Networks

被引：2
|
作者：
Wu, Gongyi [1 ]
Liu, Jiaoyao [1 ]
Shen, Xin [1 ]
Gao, Lijin [1 ]
Xu, Jingdong [1 ]
Xi, Kun [1 ]
机构：
[1] Nankai Univ, Dept Comp Sci, Tianjin 300071, Peoples R China
来源：
2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/IITA.2008.174
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The searching mechanism in traditional unstructured P2P networks often consumes a large amount of network resources. Furthermore, queries for rare objects do not receive the desired number of results or even fail, for the object popularity's imbalanced distribution. To deal with these problems, we propose a novel search algorithm: ERAntBudget, which is based on Gnutella protocol and adopts the Budget mechanism as well as the trail-laying-and-following policy of Ant Colony Optimization principle. In this paper, we present the design and architecture of ERAntBudget, the simulation results demonstrate the effectiveness.
引用
收藏
页码：765 / 769
页数：5
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