Browse by author
Lookup NU author(s): Visalakshmi Suresh, Dr Paul EzhilchelvanORCiD, Professor Paul WatsonORCiD
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Event processing involves continuous evaluation of queries over streams of events. Response-time optimization is traditionally done over a fixed set of nodes and/or by using metrics measured at query-operator levels. Cloud computing makes it easy to acquire and release computing nodes as required. Leveraging this flexibility, we propose a novel, queueing-theory-based approach for meeting specified response-time targets against fluctuating event arrival rates by drawing only the necessary amount of computing resources from a cloud platform. In the proposed approach, the entire processing engine of a distinct query is modelled as an atomic unit for predicting response times. Several such units hosted on a single node are modelled as a multiple class M/G/1 system. These aspects eliminate intrusive, low-level performance measurements at run-time, and also offer portability and scalability. Using model-based predictions, cloud resources are efficiently used to meet response-time targets. The efficacy of the approach is demonstrated through cloud-based experiments.
Author(s): Suresh V, Ezhilchelvan P, Watson P
Publication type: Article
Publication status: Published
Journal: Philosophical Transactions of the Royal Society A. Mathematical, Physical & Engineering Sciences
Year: 2013
Volume: 371
Issue: 1983
Print publication date: 10/12/2012
ISSN (print): 1364-503X
ISSN (electronic): 1471-2962
Publisher: The Royal Society
URL: http://dx.doi.org/10.1098/rsta.2012.0095
DOI: 10.1098/rsta.2012.0095
Notes: Article is 13 pp.
Altmetrics provided by Altmetric