Location-based Matching in Publish/Subscribe Revisited

Mohammad Sadoghi, Hans-Arno Jacobsen
Middleware Systems Research Group, Department of Computer Science, University of Toronto, Canada
ACM/IFIP/USENIX 13th International Conference on Middleware, 2012


   title={Location-based Matching in Publish/Subscribe Revisited},

   author={Sadoghi, M. and Jacobsen, H.A.},



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Event processing is gaining rising interest in industry and in academia. The common application pattern is that event processing agents publish events while other agents subscribe to events of interest. Extensive research has been devoted to developing efficient and scalable algorithms to match events with subscribers’ interests. The predominant abstraction used in this context is the content-based publish/subscribe (pub/sub) paradigm for modeling an event processing application. Applications that have been referenced in this space include emerging applications in co-spaces that rely on location-based information, algorithmic trading and (financial) data dissemination, and intrusion detection system. In this work, we focus primarily on the role of state-of-the-art matching algorithms in location-based pub/sub applications.
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