A CASE STUDY ON GRID PERFORMANCE MODELING

The purpose of this case study is to develop a performance model for an enterprise grid for performance management and capacity planning1. The target environment includes grid applications such as health-care and financial services where the data is located primarily within the resources of a worldwide corporation. The approach is to build a discrete event simulation model for a representative work-flow grid. Five work-flow classes, found using a customized k-means clustering algorithm characterize the workload of the grid. Analyzing the gap between the simulation and measure-ment data validates the model. The case study demon-strates that the simulation model can be used to predict the grid system performance given a workload forecast. The model is also used to evaluate alternative scheduling strate-gies. The simulation model is flexible and easily incorpo-rates several system details. KEYWORDS grid computing, performance modeling, capacity planning, discrete-event simulation, JavaSim, case study