Simgrid: A Toolkit for the Simulation of Application Scheduling
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Scheduling Distributed Applications: the SimGrid Simulation Framework
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Performance Evaluation Model for Scheduling in Global Computing Systems
International Journal of High Performance Computing Applications
JiST: an efficient approach to simulation using virtual machines: Research Articles
Software—Practice & Experience
Single-threaded specification of process-interaction formalism in Java
WSC '04 Proceedings of the 36th conference on Winter simulation
On incorporating differentiated levels of network service into GridSim
Future Generation Computer Systems
A commodity market algorithm for pricing substitutable Grid resources
Future Generation Computer Systems
Economic Grid Resource Management for CPU Bound Applications with Hard Deadlines
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
A Simulation Framework for Studying Economic Resource Management in Grids
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
GECON'07 Proceedings of the 4th international conference on Grid economics and business models
Fast and scalable simulation of volunteer computing systems using SimGrid
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Scalable Multi-purpose Network Representation for Large Scale Distributed System Simulation
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
DynamicCloudSim: simulating heterogeneity in computational clouds
Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies
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Due to the distributed nature of resources in grids that cover multiple administrative domains, grid resource management cannot be optimally implemented using traditional approaches. In order to investigate new grid resource management systems, researchers utilize simulators which allows them to efficiently evaluate new algorithms on a large scale. We have developed the Grid Economics Simulator (GES) in support of research into grid resource management in general and economic grid resource management in particular. This paper compares GES to SimGrid and GridSim, two established grid simulation frameworks. We demonstrate that GES compares favourably to the other frameworks in terms of scalability, runtime performance and memory requirements. We explain how these differences are related to the simulation paradigm and the threading model used in each simulator.