Microscopic traffic simulation is the most accurate tool for predictive analytics in urban
environments. However, the amount of workload (ie, cars simulated simultaneously) can be …

Using the Cloud for large-scale distributed simulations, such as agent-based traffic
simulations, sounds like a good idea, as it is possible to provision and release easily …

Distributed simulations require partitioning mechanisms to operate, and the best partitioning
algorithms try to load-balance the partitions. Dynamic load-balancing, ie re-partitioning …

Data partitioning is one of the main problems in parallel and distributed simulation.
Distribution of data over the architecture directly influences the efficiency of the simulation …

由于资源变化或者仿真模型事件的发生等原因, 仿真应用在运行过程中可能会出现负载失衡的
情况, 在保守同步仿真中将会增加进程等待时间, 在乐观同步仿真中将会增加进程回退的次数 …

Optical Flow (OF) techniques facing the complexity of real sequences have been developed
in the last years. Even using the most appropriate technique for our specific problem, at …

In parallel and distributed discrete-event simulation, the work load of logical processes (LPs)
may become imbalanced due to the change of resources or newly generated events. This …

Parallel and distributed simulation is a powerful tool for developing realistic agent-based
modeling and simulation (ABMS). ABMS can allow scientists to reach conclusions and gain …