DocumentCode :
2446702
Title :
Adaptive search for peer-to-peer networks
Author :
Sa, Li ; Shang, Lihui ; Hou, Jun ; Shen, Yuming
Author_Institution :
Opt. & Electron. Inf. Eng. Coll., Univ. of Shanghai for Sci. & Technol., Shanghai
fYear :
2008
fDate :
10-13 Nov. 2008
Firstpage :
73
Lastpage :
78
Abstract :
Nowadays, the most popular peer-to-peer applications operate on unstructured networks. The obvious problems that have infected the popularity of peer-to-peer (P2P) systems are effective information search and traffic caused by the blind flooding-based search. In this paper, we have concentrated on developing an agent-based model for controlling query messages that are represented as agent; the ecologically inspired distributed search (EIDS), which derives its inspiration from natural ecosystem, is presented. We models autonomous adaptive agents after several ecological concepts and mechanisms. As an experiment result, we compare its performance against the well-known k-random walker approach. We focus on the problem of actively changing the topology of the P2P network by utilizing Schellingpsilas segregation model to improve the efficiency of search.
Keywords :
distributed processing; peer-to-peer computing; search problems; telecommunication network topology; telecommunication traffic; P2P network topology; P2P system; Schelling segregation model; agent-based model; autonomous adaptive agent; blind flooding-based search; ecologically inspired distributed search; k-random walker approach; peer-to-peer network; Adaptive optics; Algorithm design and analysis; Biological system modeling; Communication system traffic control; Ecosystems; Educational institutions; Floods; Network topology; Optical fiber networks; Peer to peer computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
ISSN :
1553-572X
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2008.4757931
Filename :
4757931
Link To Document :
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