An Effective Distributed Search Technique for Unstructured Peer-to-Peer Networks

被引：0
|
作者：
Thampi, Sabu M. [1 ]
Sekaran, Chandra K. [2 ]
机构：
[1] Kannur Univ, LBS Coll Engn, Kasaragod 671542, Kerala, India
[2] Natl Inst Technol Karnataka, Surathkal 575025, Karnataka, India
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2008年 / 8卷 / 01期
关键词：
Q-learning; Searching; TTL; Unstructured P2P; Load balancing; Reinforcement Learning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an efficient distributed search technique for unstructured P2P networks. The scheme employs Q-learning, power peers, specialized peers, load balancing, and mobile agents. Walkers are selected from neighbors as well as power peers. Each search process updates Q-values of nodes in different Q-tables. The mobile agent based load balancing scheme assists to route the queries to least loaded power peers. The idea of TTL enhancement is followed for extending a search process. Simulation results show that the technique outperforms existing search schemes.
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页码：128 / 135
页数：8
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