Implementation of a CORBA-Based Metacomputing System
HPCN Europe 2001 Proceedings of the 9th International Conference on High-Performance Computing and Networking
Software Performance Models from System Scenarios in Use Case Maps
TOOLS '02 Proceedings of the 12th International Conference on Computer Performance Evaluation, Modelling Techniques and Tools
Benchmarks for grid computing: a review of ongoing efforts and future directions
ACM SIGMETRICS Performance Evaluation Review
A system for multithreaded parallel simulation and computation with migrant threads and objects
A system for multithreaded parallel simulation and computation with migrant threads and objects
Performance analysis of distributed server systems
Performance analysis of distributed server systems
Visual modeler for grid modeling and simulation (GridSim) toolkit
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Emergent algorithms for replica location and selection in data grid
Future Generation Computer Systems
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A Grid is a collection of heterogeneous distributed computing resources for solving large-scale computational and data intensive problems. It is a dynamic environment where resources attributes -such as load- change constantly hindering performance evaluation activities. Performance models could be a solution to this problem because they provide a way of performing repeatable and controllable experiments. Several tools have been developed for modeling scheduling algorithms in Grids. We believe, however, that if these tools are to be used for modeling application performance they should be improved by adding some particular features. In this paper, we identify such features and evaluate two modeling tools based on those features. These tools are used to represent the execution of applications in the Grid SUMA.