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Master's Dissertation
DOI
https://doi.org/10.11606/D.3.2009.tde-26032009-173413
Document
Author
Full name
Charles Boulhosa Rodamilans
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2009
Supervisor
Committee
Midorikawa, Edson Toshimi (President)
Sato, Liria Matsumoto
Senger, Hermes
Title in Portuguese
Análise de desempenho de algoritmos de escalonamento de tarefas em grids computacionais usando simuladores.
Keywords in Portuguese
Metodologia e técnicas de computação
Simulação
Sistemas distribuídos
Abstract in Portuguese
Escalonamento em Grid tem sido vastamente estudado devido à sua grande importância para o desempenho da Grid. Dada a sua complexidade, este é subdividido em escalonamento de recursos e de aplicações. A qualidade do escalonamento está relacionada ao algoritmo de escalonamento de tarefas. O presente trabalho tem como objetivo apresentar a metodologia AGSA (Analysis of Grid Scheduling Algorithms) para a comparação de algoritmos de escalonamento de tarefas em Grid. O intuito desta metodologia é analisar o comportamento e desempenho dos algoritmos em diversos cenários. O ambiente de simulação CEGSE (Characterization oriEnted Grid Scheduling Environment) foi desenvolvido para a criação e simulação destes cenários. Os estudos de caso comprovam a eficácia da metodologia.
Title in English
Performance analysis of task scheduling algorithms in grid computing using simulators.
Keywords in English
Grid computing
Methodology
Simulation environment
Task scheduling
Abstract in English
Grid Scheduling has been studied because it is very important for Grid performance. Due Grid Scheduling's complexity, it is subdivided in resource and application scheduling. The quality of scheduling is related a tasks scheduling algorithm. The dissertation presents the AGSA (Analysis of Grid Scheduling Algorithms) methodology for comparison of Grid Scheduling Algorithms in Grid Computing. The methodology purpose is the behavior and performance analysis of algorithms in various scenarios. The CEGSE (Characterization oriEnted Grid Scheduling Environment) simulation environment is developed for this scenarios create and simulate. The case studies ratify the methodology efficiency.
 
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Publishing Date
2009-03-31
 
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