Distributed Event Processing For Activity Recognition
- Lookup NU author(s)
- Visalakshmi Suresh
- Dr Paul Ezhilchelvan
- Paul Watson
- Cuong Pham
- Dan Jackson
- Professor Patrick Olivier
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| Author(s) | | Suresh V, Ezhilchelvan P, Watson P, Pham C, Jackson D, Olivier P |
| Publication type | | Report |
| Series Title | | School of Computing Science Technical Report Series |
| Year | | 2011 |
| Date | | June 2011 |
| Report Number | | 1258 |
| Pages | | 6 |
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| Full text is not currently available for this publication. |
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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. |
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| Institution | | School of Computing Science, University of Newcastle upon Tyne |
| Place Published | | Newcastle upon Tyne |
| Actions | |  |
