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Synchronisation for Dynamic Load Balancing of Decentralised Conservative Distributed Simulation

机译:分布式保守分布式仿真的动态负载平衡同步。

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摘要

Synchronisation mechanisms are essential in distributed simulation. Some systems rely on central units to control the simulation but central units are known to be bottlenecks [10]. If we want to avoid using a central unit to optimise the simulation speed, we lose the capacity to act on the simulation at a global scale. Being able to act on the entire simulation is an important feature which allows to dynamically load-balance a distributed simulation. While some local partitioning algorithms exist [12], their lack of global view reduces their efficiency. Running a global partitioning algorithm without central unit requires a synchronisation of all logical processes (LPs) at the same step. We introduce in this paper two algorithms allowing to synchronise logical processes in a distributed simulation without any central unit. The first algorithm requires the knowledge of some topological properties of the network while the second algorithm works without any requirement. The algorithms are detailed and compared against each other. An evaluation shows the benefits of using a global dynamic load-balancing for distributed simulations.
机译:同步机制对于分布式仿真至关重要。一些系统依靠中央单元来控制仿真,但是已知中央单元是瓶颈[10]。如果要避免使用中央单元来优化仿真速度,则会失去在全球范围内对仿真进行操作的能力。能够对整个模拟进行操作是一项重要功能,它可以动态地平衡分布式模拟的负载。尽管存在一些局部分区算法[12],但它们缺乏全局视图会降低其效率。在没有中央单元的情况下运行全局分区算法需要在同一步骤同步所有逻辑进程(LP)。我们在本文中介绍了两种算法,这些算法允许在没有任何中央单元的情况下在分布式仿真中同步逻辑过程。第一种算法需要了解网络的某些拓扑属性,而第二种算法无需任何操作即可工作。算法是详细的,并且相互比较。评估显示了使用全局动态负载平衡进行分布式仿真的好处。

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