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Software Engineering, International Conference on (2001)
Toronto, Canada
May 12, 2001 to May 19, 2001
ISBN: 0-7695-1050-7
pp: 0443
Alexis Campailla , Microsoft Corporation
Sagar Chaki , Carnegie Mellon University
Edmund Clarke , Carnegie Mellon University
Somesh Jha , University of Wisconsin
Helmut Veith , TU Vienna
ABSTRACT
Abstract: Implicit invocation or publish-subscribe has become an important architectural style for large-scale system design and evolution. The publish-subscribe style facilitates developing large-scale systems by composing separately developed components because the style permits loose coupling between various components. One of the major bottlenecks in using publish-subscribe systems for very large scale systems is the efficiency of filtering incoming messages, i.e., matching of published events with event subscriptions. This is a very challenging problem because in a realistic publish-subscribe system the number of subscriptions can be large. In this paper we present an approach for matching published events with subscriptions which scales to a large number of subscriptions. Our approach uses Binary Decision Diagrams, a compact data structure for representing boolean functions which has been successfully used in verification techniques such as model checking. Experimental results clearly demonstrate the efficiency of our approach.
INDEX TERMS
CITATION

A. Campailla, E. Clarke, S. Chaki, S. Jha and H. Veith, "Efficient Filtering in Publish-Subscribe Systems Using Binary Decision Diagrams," Software Engineering, International Conference on(ICSE), Toronto, Canada, 2001, pp. 0443.
doi:10.1109/ICSE.2001.919117
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