Abstract—A central issue for parallel applications executed on heterogeneous distributed platforms (e.g. Grids and Clouds) is assuring that performance and cost parameters are optimized throughout the execution. A solution is based on providing application components with adaptation strategies able to select at run-time the best component configuration. In this paper we will introduce a preliminary work concerning the exploitation of control-theoretic techniques for controlling parallel computations. In particular we will demonstrate how a predictive control approach can be used based on first-principle performance models of structured parallelism schemes. We will also evaluate the viability of our approach on a first experimental scenario. Index Terms—Structured Parallel Programs, Reconfigurations, Autonomic Computing, Model-based Predictive Control.

QoS-Control of Structured Parallel Computations: a Predictive Control Approach

MENCAGLI, GABRIELE;VANNESCHI, MARCO
2011

Abstract

Abstract—A central issue for parallel applications executed on heterogeneous distributed platforms (e.g. Grids and Clouds) is assuring that performance and cost parameters are optimized throughout the execution. A solution is based on providing application components with adaptation strategies able to select at run-time the best component configuration. In this paper we will introduce a preliminary work concerning the exploitation of control-theoretic techniques for controlling parallel computations. In particular we will demonstrate how a predictive control approach can be used based on first-principle performance models of structured parallelism schemes. We will also evaluate the viability of our approach on a first experimental scenario. Index Terms—Structured Parallel Programs, Reconfigurations, Autonomic Computing, Model-based Predictive Control.
978-076954622-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/209065
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