Load Balancing Using Time Series Analysis for Soft Real Time Systems with Statistically Periodic Loads

Hailperin, Max

ISBN 10: 1288916299 ISBN 13: 9781288916290

Editorial: Biblioscholar, 2013

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

Load Balancing Using Time Series Analysis for Soft Real Time Systems with Statistically Periodic Loads

Editor

Biblioscholar

Fecha de publicaci�n

2013

Idioma

Ingl�s

ISBN 10

1288916299

ISBN 13

9781288916290

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

This thesis provides design and analysis of techniques for global load balancing on ensemble architectures running soft-real-time object-oriented applications with statistically periodic loads. It focuses on estimating the instantaneous average load over all the processing elements. The major contribution is the use of explicit stochastic process models for both the loading and the averaging itself. These models are exploited via statistical time-series analysis and Bayesian inference to provide improved average load estimates, and thus to facilitate global load balancing. This thesis explains the distributed algorithms used and provides some optimality results. It also describes the algorithms' implementation and gives performance results from simulation. These results show that our techniques allow more accurate estimation of the global system load ing, resulting in fewer object migration than local methods. Our method is shown to provide superior performance, relative not only to static load-balancing schemes but also to many adaptive methods.

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