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Interest clustering techniques for efficient event routing in large-scale settings
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Source Distributed event-based systems; Vol. 332 archive
Proceedings of the second international conference on Distributed event-based systems table of contents
Rome, Italy
TUTORIAL SESSION: Tutorial session table of contents
Pages 13-22  
Year of Publication: 2008
ISBN:978-1-60558-090-6
Author
Leonardo Querzoni  Universitá di Roma, Rome, Italy
Sponsors
: IEEE
: ACM
: USENIX
IFIP : International Federation for Information Processing
SIGSOFT: ACM Special Interest Group on Software Engineering
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

The publish/subscribe interaction paradigm is today becoming mainstream in a large number of very large scale applications like news syndication (with RSS) or massive multi-player games. These applications are often still implemented by means of centralized services that will hardly scale with the user growth expected in the next years. Modern publish/subscribe systems are striving to address these scalability needs to play a dominant role in this future market. A very important contribution, on the road to reach this goal, is given by the interest clustering techniques adopted by these systems. Interest clustering aims at putting in close applicative relationship groups of users sharing similar interests in order to reduce the effort needed to dispatch a message to group. This technique can be applied to event dissemination mechanisms based on filtering to reduce the total amount of messages generated during event routing and, consequently, improve the overall system performance. In this paper we explore this topic to discover the potentialities of interest clustering, to understand how it can be implemented in a publish/subscribe system, and to study, through a small focussed survey, the central role played by this technique in modern systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Voulgaris, E. Rivière, A.-M. Kermarrec, and M. van Steen. Sub-2-sub: Self-organizing content-based publish and subscribe for dynamic and large scale collaborative networks. Research Report RR5772, INRIA, Rennes, France, December 2005.