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 …

Spatial simulations have been widely used to study real-world environments, such as
transportation systems. Applications like prediction and analysis of transportation require the …

With rapid growth of demand on Big Data storage, MongoDB has been a prevalent choice to
store unstructured data in recent years. MongoDB evenly distributes data across shard …

MANETS are randomly distributed self-configurable networks used in an ad-hoc fashion.
Due to its increasing network data, load balancing becomes an unmanageable aspect in …

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 …