A rumor-spreading model of service advertisement forwarding in decentralized e-commerce

Author

Zhang, Dalu ; Gao, Fang ; Yang, Zhe

Author_Institution

Dept. of Comput. Sci. & Eng., Tongji Univ., Shanghai

fYear

2005

fDate

12-18 Oct. 2005

Firstpage

591

Lastpage

594

Abstract

SophiNode uses P2P infrastructure to realize a decentralized e-commerce application. And service advertisement forwarding is an interesting topic in SophiNode. We discuss speed, scope and overhead feature of a service discovery system, and put forward a rumor-spreading model to improve these features. We try to simulate rumor-spreading process of human life, and avoid unnecessary duplicated advertisement overhead. Two key concepts are adopted: forwarding probability and forwarding weight. The former is in inverse proportion with service advertisement popularity; so that popular advertisements are filtered while rare advertisements are wildly spread. The later helps to determine the next hop when forwarding an advertisement. Our simulation shows that after rumor-spreading model is adopted, speed and scope feature of service query is improved while overhead feature keeps steady

Keywords

advertising; electronic commerce; peer-to-peer computing; probability; P2P infrastructure; SophiNode; decentralized e-commerce; rumor-spreading model; service advertisement; service discovery system; Application software; Computer science; Humans; Maintenance engineering; Neurofeedback; Peer to peer computing; Routing;

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.2005.16

Filename

1552952