Title :
CAPSUIT: Content-Based Publish/Subscribe System with Multi-Threshold over Peer-to-Peer Network
Author :
Fu, Lvjun ; Guo, Weibin ; Wu, Zengde
Author_Institution :
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
Content-based publish/subscribe system is an important emerging communication paradigm in e-commerce applications. The distribution of contents to the subscribers in a scalable way is a very important requirement of these applications. However, the centralized structure of system limits its performance and the scope of nodes by which users get information from. This paper describes publish/subscribe system over peer-to-peer, which provides users an easy method of access to information. The schema of system has been improved in two aspects. First, we present a content-based filter algorithm with multi-threshold to minimize the amount of routing and data transferring. Second, a method initializing above thresholds and ensuring access quantity is designed. Results show that model can efficiently improve the system performance, and algorithm is flexible and robust.
Keywords :
content-based retrieval; electronic commerce; information filtering; middleware; peer-to-peer computing; CAPSUIT; content-based filter algorithm; content-based publish-subscribe system; e-commerce applications; peer-to-peer network; Application software; Computer science; Costs; Filters; Frequency conversion; Peer to peer computing; Robustness; Routing; Search engines; Subscriptions;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5364673