Distributed Event Processing For Activity Recognition (2011)

Author(s): Suresh V, Ezhilchelvan P, Watson P, Pham C, Jackson D, Olivier P

    Abstract: Stream-processing systems inevitably face unpredictable variations in incoming event loads. One way of handling this without a ecting end-to-end performance metrics, will be to dynamically distribute event-processing on multiple computers and thus avail compute power for optimal performance.More precisely, data streams are processed in part or in parallel on multiple computers connected by a high bandwidth network. The number of computers being used is to be varied dynamically to cope with input load uctuations.This paper uses data from ambient kitchen to make a preliminary assessment of performance advantages by distribution of real-time data stream processing. The motivation is to leverage cloud computing for optimal realtime event processing.

      • Date: June 2011
      • Series Title: School of Computing Science Technical Report Series
      • Pages: 6
      • Institution: School of Computing Science, University of Newcastle upon Tyne
      • Publication type: Report
      • Bibliographic status: Published

        Keywords: Distributed Applications, Real Time and Embedded Systems


        Dr Paul Ezhilchelvan
        Reader in Distributed Computing

        Dan Jackson
        Senior Research Associate

        Professor Patrick Olivier
        Professor of Human-Computer Interaction

        Professor Paul Watson
        Director of the Digital Institute, Professor of Computer Science