Distributed Simulation of Large Systems

大型系统的仿真是计算和存储密集型的。 然而，对于许多关键应用程序，仿真是唯一的方法， 设计高性能和可靠的系统。 的广泛可用性 分布式处理器和多处理器开辟了 通过在模拟中分配每个进程来执行模拟 在不同的处理器上，因此， 加速和每个处理器低内存需求。 然而，在这方面， 分布式仿真需要解决几个问题 包括分散时钟的前进，收集 统计，模拟终止， 与序贯仿真进行了比较，并对性能进行了优化。 与之前的方法不同， 通过使用集中协调或过多的通信造成的开销 通过使用分布式解决方案、分层分散的 在分布式仿真中已经开发了问题的解决方案。 本项目的目标是探索产生 分布式仿真直接从规范，开发技术 为了提高分布式仿真的效率，设计方法 用于收集和分析来自分布式仿真的数据，以及 在各种多处理系统上进行实验。

Simulations of large systems are computation and memory intensive. However for many critical applications, simulation is the only way to design high performance and reliable systems. The wide availability of distributed processors and multiprocessors opens up the possibility of carrying out simulations by allocating each process in the simulation on a different processor, thus, potentially achieving significant speedups and low memory requirement per processor. However, distributed simulation requires resolution of several problems including decentralizing the advancement of clock, collection of statistics, termination of simulation, analysis of overheads as compared with sequential simulation, and optimization of performance. Unlike previous approaches that incur either too much computation overhead by using centralized coordination or too much communication overhead by using a distributed solution, hierarchical decentralized solutions to problems have been developed in distributed simulation. The objectives of this project are to explore methods for generating distributed simulations directly from specification, develop techniques for improving the efficiency of distributed simulations, design methods for collecting and analyzing data from distributed simulations, and carry out experiments on a variety of multiprocessing systems.