Some Problems of the Simulation Model Efficiency and Flexibility

A. Mikov, A. Kozlov, E. Zamyatina, S. Ermakov
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引用次数: 3

Abstract

Simulation remains one of the most popular and sometimes the only method of investigation of the complex dynamical systems nowadays. The problems become more and more complicate and so simulation models become complicate and large scale too. So the modelers have to reduce the time of simulation run and overall time of the simulation model design, it's verification, validation and simulation experiment. The authors believe that the problem of efficiency and flexibility of simulation systems (program tools and linguistic construction) can be solved through it's automation and intellectualization. This paper discusses the problem of design and implementation of the distributed and parallel simulation systems using the power of several compute nodes of computer network (or cluster or multiprocessor computer). Authors suggest original approach to the synchronization and load balancing of the objects of distributed simulation model. Furthermore authors consider the problem of reduction of time needed to design and to debug a simulation model, the problems of the simulation tools adaptability and offer using models and methods of artificial intelligence in these cases.
仿真模型效率和灵活性的几个问题
仿真仍然是当今研究复杂动力系统最流行的方法之一,有时甚至是唯一的方法。问题变得越来越复杂,仿真模型也变得复杂和大规模。因此,建模者必须减少仿真运行时间和仿真模型设计、验证、验证和仿真实验的总时间。认为通过仿真系统的自动化和智能化,可以解决仿真系统(程序工具和语言结构)的效率和灵活性问题。本文讨论了利用计算机网络(或集群或多处理器计算机)的多个计算节点的能力来设计和实现分布式并行仿真系统的问题。作者对分布式仿真模型中对象的同步和负载均衡问题提出了自己的见解。此外,作者还考虑了缩短仿真模型设计和调试时间的问题,仿真工具的适应性问题,并提供了在这些情况下使用人工智能的模型和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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