Simulation Modeling and Analysis
Simulation Modeling and Analysis
Scheduling Distributed Applications: the SimGrid Simulation Framework
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Evaluating Scheduling and Replica Optimisation Strategies in OptorSim
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Policy-based automated provisioning
IBM Systems Journal
Dynamic scheduling II: fast simulation model for grid scheduling using HyperSim
Proceedings of the 35th conference on Winter simulation: driving innovation
Inside discrete-event simulation software: how it works and why it matters
WSC '04 Proceedings of the 36th conference on Winter simulation
Capacity planning tools for web and grid environments
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Emergent algorithms for replica location and selection in data grid
Future Generation Computer Systems
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Recent advances in middleware technologies such as grid computing have provided IT architects with the ability to design infrastructures that are more flexible and less dedicated to specific application workloads. However, the capabilities of design and analysis tools that IT architects use have not kept pace. In this paper, we describe our progress in developing an IT infrastructure modeling environment that supports an extensible set of analysis tools. We focus in particular on a discrete-event simulator for analyzing the performance of computational workloads that are running on a grid. The unique modeling requirements and challenges presented by the grid computing infrastructure domain are discussed. Efficient event queue management and other simulation techniques to address these challenges are developed. Finally, we position the role of simulation analysis in the larger context of estimating the business and financial returns from grid computing investments.