Influences of scheduling policies on the performance of distributed simulations / Influências de políticas de escalonamento no desempenho de simulações distribuídas

AUTOR(ES)
DATA DE PUBLICAÇÃO

2006

RESUMO

This work analyses the impact caused on distributed simulation performance when conventional partitioning techniques are employed. These techniques do not take into account inherent information about the state of the simulation. Since a simulation execution is subject to platform interference, information about the type of simulations and about the computational power of resources may be applied to the partitioning process. Static performance information, generated from evaluating the platform with benchmarks has been employed, as well as dynamic load information provided by load indices. The results obtained with this approach are attractive, mainly when the objective is to execute simulations on environments which make conventional scheduling policies available, instead of specific policies. The evaluated case studies show satisfactory performance gains of up to 24% of reduction in execution time, 22% of improvement in efficiency and reduction of up to 79% in rollbacks. So, depending on the available time and the aimed objectives, it is worth using conventional techniques to assist distributed simulation partitioning. This work also contributes to the improvement of both tools used in it: Warped and AMIGO. A communication interface has been developed to integrate the tools, extending their capabilities.

ASSUNTO(S)

load balancing performance evaluation balanceamento de carga escalonamento de processos distributed simulation simulação distribuída process scheduling avaliação de desempenho

ACESSO AO ARTIGO

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