Performance Evaluation of Grid-Enabled Code: A Case Study
The goal of computational grids is to aggregate numerous heterogeneous resources in order to provide sufficient computational power to solve large-scale problems. In a grid environment, users can use unlimited resources as a single powerful entity. However, the heterogeneity of the resources in the grids makes it difficult to predict the performance behavior of the applications. This paper presents the performance analysis of a grid-enabled MIP solver in a grid environment consisting of three clusters on a campus LAN. In particular, the paper focuses on the analysis of the behavior of the application using two networks connecting the clusters with different latency and bandwidth.