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Master's Dissertation
DOI
https://doi.org/10.11606/D.55.2012.tde-24072012-104123
Document
Author
Full name
Alessandro Nakamuta
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2012
Supervisor
Committee
Monaco, Francisco José (President)
Bruschi, Sarita Mazzini
Senger, Hermes
Title in Portuguese
Avaliação de desempenho da política EBS em uma arquitetura de escalonamento realimentada
Keywords in Portuguese
Escalonador
QoS
Tempo-real
Abstract in Portuguese
Este trabalho apresenta uma avaliação do algoritmo EBS, uma política de escalonamento proposta para sistemas de tempo real flexíveis com qualidade de serviço baseado em limites superiores para tempos médios de resposta. Experimentos têm demonstrado propriedades vantajosas da política EBS em servidores Web com diferenciação de serviço. O objetivo do presente estudo é compreender o comportamento da EBS em relação à diferentes parâmetros que descrevem a carga de trabalho. Esse conhecimento é útil para obtenção de um melhor aproveitamento computacional. São apresentados experimentos e resultados que analisam a influência de cada um dos fatores considerados na qualidade do serviço oferecido. A partir desses resultados são tecidas conclusões acerca de abordagens para o dimensionamento de carga e de capacidade do servidor
Title in English
Performance evaluation of EBS policy on a fedback scheduling architecture
Keywords in English
QoS
Real-time
Scheduler
Abstract in English
This Master degree project has presented an evaluation of the EBS algorithm, a scheduling policy proposed for soft real-time systems with quality of service based on upper limits for average response times. Experiments have shown advantageous properties of the EBS policy on Web servers with service differentiation. The aim of this study is to understand the behavior of the EBS in relation to different parameters that describe the workload. This knowledge is useful for obtaining a better use of computing. Experiments and results are presented analyzing the influence of each factor considering the quality of service offered. From these results, conclusions are woven about approaches to the design load and server capacity
 
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alessandrorev.pdf (1.35 Mbytes)
Publishing Date
2012-07-24
 
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