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An Intelligent Multi-Agent Distributed Battlefield Via Multi-Token Message Passing

机译:一位智能多智能代理分布式战场,通过多令牌消息传递

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The main focus of this paper is on issues related to communications, load balancing, resource sharing and allocation in a distributed computing system, as applied to battlefield simulation. We present a distributed architecture of a middleware and algorithms for communications, scheduling and load balancing. In the proposed distributed architecture the nodes use the Multi-Token Message Passing Interface (MPI) over the message based Myrinet communication system, namely the GM protocol, on a Gigabit Myrinet switch to communicate with each other. As we show here this brings in additional implementation challenges regarding (a) the safe usage of threads and MPI, (b) expanding MPI to support additional data-types specific to the sought battlefield simulation applications, and (3) modifying MPI to achieve equal distribution of load among nodes. The main task in load balancing is to keep load equally distributed among the computing nodes, and yet keep the notion of geographically distributed agents transparent. An additional challenge is posed by the fact that when the application is running, load balancing has to be continuously adapted- i.e. no run-time stopping is allowed to redistribute the load among nodes.
机译:本文的主要焦点是与分布式计算系统中的通信,负载平衡,资源共享和分配相关的问题,如在战地模拟中应用。我们介绍了用于通信,调度和负载平衡的中间件和算法的分布式架构。在所提出的分布式架构中,节点使用基于消息的MyRInet通信系统,即GM协议,在千兆MyRinet交换机上彼此通信的消息传递接口(MPI)。正如我们在这里展示这带来了额外的执行方面的挑战是:(a)线程和MPI,(b)扩大MPI来支持额外的数据类型特定于寻求战场仿真应用的安全使用,以及(3)修改MPI实现平等节点之间的负载分配。负载平衡中的主要任务是保持载荷在计算节点中同样分布,但是保持地理上分布式代理的概念透明。额外的挑战是由于运行应用程序时,负载平衡必须连续调整 - 即不允许运行时停止重新分配节点之间的负载。

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