Distributed Event Processing For Activity Recognition

  1. Lookup NU author(s)
  2. Visalakshmi Suresh
  3. Dr Paul Ezhilchelvan
  4. Professor Paul Watson
  5. Cuong Pham
  6. Dan Jackson
  7. Professor Patrick Olivier
Author(s)Suresh V, Ezhilchelvan P, Watson P, Pham C, Jackson D, Olivier P
Publication type Report
Series TitleSchool of Computing Science Technical Report Series
Source Publication DateJune 2011
Report Number1258
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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.
InstitutionSchool of Computing Science, University of Newcastle upon Tyne
Place PublishedNewcastle upon Tyne
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