Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
Performance Evaluation of Conservative Algorithms in Parallel Simulation Languages
IEEE Transactions on Parallel and Distributed Systems
Asynchronous distributed simulation via a sequence of parallel computations
Communications of the ACM - Special issue on simulation modeling and statistical computing
Object-Oriented Discrete-Event Simulation with Java: A Practical Introduction
Object-Oriented Discrete-Event Simulation with Java: A Practical Introduction
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
An easy-to-use toolkit for efficient Java bytecode translators
Proceedings of the 2nd international conference on Generative programming and component engineering
AspectJ in Action: Practical Aspect-Oriented Programming
AspectJ in Action: Practical Aspect-Oriented Programming
Foundations of Jini 2 Programming
Foundations of Jini 2 Programming
A Simulation Framework for Studying Economic Resource Management in Grids
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Design and performance evaluation of a conservative parallel discrete event core for GES
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
A performance comparison of recent network simulators
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Conservative Distributed Discrete Event Simulation on Amazon EC2
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
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Computer simulations have become an indispensable tool for the empirical study of large-scale systems. The timely simulation of these systems however, is not without its challenges. Simulators have to be able to harness the full computational power of modern architectures through parallel execution and overcome the memory limitations of a single computer. In this paper we investigate techniques for distributed and parallel execution of the Grid Economics Simulator. We present the design of a parallel and distributed simulation core that uses a conservative time synchronization protocol and describe the optimizations we performed to improve the performance of the simulator. We analyze the performance of the distributed simulation setup through two different application scenarios. Our results demonstrate how the presented techniques contribute to attain significant speedups on a distributed system consisting of multi-core machines and commodity networking hardware.