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A Communication Schema for Parallel and Distributed Multi-agent Systems Based on MPI

机译:基于MPI的分布式并行多Agent系统通信模式

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摘要

The interest for Multi-Agents Systems (MAS) grows rapidly and especially in order to simulate and observe large and complex systems. Centralized machines do not however offer enough capacity to simulate the large models and parallel clusters can overcome these limits. Nevertheless, the use of parallel clusters implies constraints such as mono-threaded process of execution, reproducibility or coherency. In this paper, our contribution is a MPI based communication schema for Parallel and Distributed MAS (PDMAS) that fits High Performance Computing (HPC) on cluster requirements. Our communication schema thus integrates agent migration between processes and it guarantees message delivery in case of agent migration.
机译:对多智能体系统(MAS)的兴趣迅速增长,尤其是为了模拟和观察大型复杂系统。但是,集中式计算机无法提供足够的容量来模拟大型模型,因此并行集群可以克服这些限制。然而,并行集群的使用意味着一些约束,例如执行的单线程过程,可重现性或一致性。在本文中,我们的贡献是针对并行和分布式MAS(PDMAS)的基于MPI的通信模式,该模式适合集群要求的高性能计算(HPC)。因此,我们的通信模式集成了流程之间的代理迁移,并在代理迁移的情况下保证了消息传递。

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