USING STOCHASTIC INFORMATION TO PREDICT APPLICATION BEHAVIOR ON CONTENDED RESOURCES
- 1 June 2001
- journal article
- Published by World Scientific Pub Co Pte Ltd in International Journal of Foundations of Computer Science
- Vol. 12 (3) , 341-363
- https://doi.org/10.1142/s0129054101000527
Abstract
Prediction is a critical component in the achievement of application execution performance. The development of adequate and accurate prediction models is especially difficult in local-area clustered environments where resources are distributed and performance varies due to the presence of other users in the system. This paper discusses the use of stochastic values to parameterize cluster application performance models. Stochastic values represent a range of likely behavior and can be used effectively as model parameters. We describe two representations for stochastic model parameters and demonstrate their effectiveness in predicting the behavior of several applications under different workloads on a contended network of workstations.Keywords
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