Scalable and Responsive Event Processing in the Cloud
- Lookup NU author(s)
- Visalakshmi Suresh
- Dr Paul Ezhilchelvan
- Professor Paul Watson
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| Author(s) | | Suresh V, Ezhilchelvan P, Watson P |
| Publication type | | Report |
| Series Title | | School of Computing Science Technical Report Series |
| Year | | 2011 |
| Date | | June 2011 |
| Report Number | | 1251 |
| Pages | | 6 |
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| Full text is available for this publication: |
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| Event processing involves the continuous evaluation of queries over streams of events. Response-time optimization is traditionally done over a fixed set of nodes using a variety of techniques. The emergence of cloud computing makes it easy to acquire and release computing nodes as required. Leveraging this facility, we propose an architecture that meets a specified response-time target against fluctuating event arrival rates by dynamically and adaptively drawing an adequate amount of computing resources from a cloud platform. In this paper we explore how to achieve dynamism and adaptation, by regarding the entire processing engine of a distinct query as the atomic unit for optimization and reconfiguration. |
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| Institution | | School of Computing Science, University of Newcastle upon Tyne |
| Place Published | | Newcastle upon Tyne |
| Actions | |  |
