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Autonomous, failure-resilient orchestration of distributed discrete event simulations
2013
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference on - CAC '13
Discrete event simulations model the behavior of complex, real-world systems. Simulating a wide range of relevant events and conditions naturally provides a more accurate model, but also increases the computational workload associated with the simulation. To manage these processing requirements in a scalable manner, a discrete event simulation can be distributed across a number of computing resources. However, individual tasks in the simulation are stateful, and therefore require inter-task
doi:10.1145/2494621.2494625
dblp:conf/cac/MalensekSHP13
fatcat:gpiqqp76eraava2u7efefzwir4