Efficient content locating in peer-to-peer systems

Author

Chen, Haitao ; Huang, Zunguo ; Gong, Zhenghu

Author_Institution

Dept. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha

fYear

2005

fDate

12-18 Oct. 2005

Firstpage

253

Lastpage

256

Abstract

A group-based semantic search method - GBSS is introduced to improve the efficiency and scalability of search in P2P systems. GBSS introduces a hybrid architecture in which the storage and search of raw data is based on DHT network, but the storage and search of meta-data are based on unstructured P2P network. With regard to search algorithm, GBSS introduces a new file grouping method requiring no users´ descriptions and constructs friend group relations between nodes based on interest similarity between file groups. The forwarding of users´ requests makes use of friend group relations. Simulation tests show that compared with traditional flooding algorithms, GBSS is both efficient and scalable

Keywords

content-based retrieval; meta data; peer-to-peer computing; storage management; GBSS; P2P system; file grouping method; group-based semantic search method; meta-data; peer-to-peer system content locating; search algorithm; Broadcasting; Computational modeling; Computer networks; Computer science; IP networks; Peer to peer computing; Research and development; Scalability; Search methods; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Business Engineering, 2005. ICEBE 2005. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2430-3

Type

conf

DOI

10.1109/ICEBE.2005.58

Filename

1552902