DocumentCode :
1811091
Title :
Dynamic Filter Merging for Publish/Subscribe
Author :
Tarkoma, Sasu
Author_Institution :
Telecommunications Software and Multimedia Laboratory and Helsinki Institute for Information Technology (HIIT), Helsinki University of Technology P.O. Box 5400, 02015 TKK, Finland, Email: sasu.tarkoma@tml.hut.fi
fYear :
2007
fDate :
18-21 June 2007
Firstpage :
1
Lastpage :
9
Abstract :
Filter-based publish/subscribe and content-based routing have been proposed for flexible information dissemination in distributed environments. A content-based router is part of an overlay structure, in which each router forwards events to neighbouring routers and local clients based on their interests. Filter merging or summarization has been proposed as an optimization strategy in this environment. These techniques combine filters to reduce the number of propagated filters and thus the size of distributed state. In this paper, we present the algorithms for generic dynamic filter merging and discuss integration with routing tables. The algorithms are based on a formal framework of merging rules. Experimental results are examined and analyzed for both desktop systems and small devices. The results indicate that dynamic filter merging is feasible given that the workload is mergeable.
Keywords :
Data structures; Heuristic algorithms; Information filtering; Information filters; Information technology; Laboratories; Merging; Routing; Runtime; Subscriptions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World of Wireless, Mobile and Multimedia Networks, 2007. WoWMoM 2007. IEEE International Symposium on a
Conference_Location :
Espoo, Finland
Print_ISBN :
978-1-4244-0993-8
Electronic_ISBN :
978-1-4244-0993-8
Type :
conf
DOI :
10.1109/WOWMOM.2007.4351720
Filename :
4351720
Link To Document :
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