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Scalable and Responsive Event Processing in the Cloud

Lookup NU author(s): Visalakshmi Suresh, Dr Paul EzhilchelvanORCiD, Professor Paul WatsonORCiD

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This is the final published version of a report that has been published in its final definitive form by School of Computing Science, University of Newcastle upon Tyne, 2011.

For re-use rights please refer to the publisher's terms and conditions.

Abstract

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.

Publication metadata

Author(s): Suresh V, Ezhilchelvan P, Watson P

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2011

Pages: 6

Print publication date: 01/06/2011

Source Publication Date: June 2011

Report Number: 1251

Institution: School of Computing Science, University of Newcastle upon Tyne

Place Published: Newcastle upon Tyne

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