CAEVA: A customizable and adaptive event aggregation framework for collaborative broker overlays

Jianxia Chen, Lakshmish Ramaswamy, David K. Lowenthal, Shivkumar Kalyanaraman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The publish-subscribe (pub-sub) paradigm is maturing and integrating into community-oriented collaborative applications. Because of this, pub-sub systems are faced with an event stream that may potentially contain large numbers of redundant and partial messages. Most pub-sub systems view partial and redundant messages as unique, which wastes resources not only at routers, but also at possibly resource constrained subscribers. In this paper, we present Caeva, a customizable and adaptive event aggregation framework. The design of Caeva exhibits three novel features. First, the tasks of merging messages and eliminating redundancies are shared among multiple, physically distributed brokers called aggregators. Second, we design a decentralized aggregator placement scheme that continuously adapts to decrease messaging overheads in the face of changing event publishing patterns. Third, we allow subscribers to choose a notification schedule that meets their specific needs. Results of extensive experiments show that Caeva is quite effective in providing flexibility and efficiency.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th International Conference on Collaborative Computing
Subtitle of host publicationNetworking, Applications and Worksharing, CollaborateCom 2010
StatePublished - Dec 1 2010
Event6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010 - Chicago, IL, United States
Duration: Oct 9 2010Oct 12 2010

Publication series

NameProceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010

Other

Other6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010
CountryUnited States
CityChicago, IL
Period10/9/1010/12/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Chen, J., Ramaswamy, L., Lowenthal, D. K., & Kalyanaraman, S. (2010). CAEVA: A customizable and adaptive event aggregation framework for collaborative broker overlays. In Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010 [5767043] (Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010).