Distributed large-scale network modeling with paramics implementation

H.X. Liu, Wenteng Ma, R. Jayakrishnan, W. Recker
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引用次数: 11

Abstract

Distributed simulation modeling is in urgent need for two reasons: one is that the computational power demanded by the large-scale microscopic traffic simulation keeps increasing; the other is that independently and incrementally developed sub-networks of a large region need to be modeled simultaneously due to their interactions. In this paper, we propose a distributed modeling framework which including two categories of modeling strategies, namely, light global control/independent subnets vs. heavy global control/coordinated subnets. We have implemented the distributed scheme of light global control/independent subnets and the implemented details, such as communication techniques and vehicle transferring across the boundary of two subnets are discussed. Unlike the previous studies using the dedicated high performance machines, our efforts are to utilize the low-cost networked PCs that are commonly available. By using the application programming interface (API) functions supported by off-the-shelf paramics software, we are able to distribute the computational load of microscopic simulation to multiple single-processor PCs without access the proprietary source codes of the simulation program. Performance testing and analysis of the implemented prototype demonstrate that the proposed framework is very promising.
具有参数实现的分布式大规模网络建模
迫切需要分布式仿真建模的原因有两个:一是大规模微观交通仿真对计算能力的要求不断提高;二是一个大区域内独立的、增量发展的子网络由于相互作用需要同时建模。在本文中,我们提出了一个分布式建模框架,其中包括两类建模策略,即轻全局控制/独立子网和重全局控制/协调子网。我们实现了轻全局控制/独立子网的分布式方案,并讨论了实现的细节,如通信技术和跨两个子网边界的车辆传输。与之前使用专用高性能机器的研究不同,我们的努力是利用普遍可用的低成本联网pc。通过使用现成的参数化软件支持的应用程序编程接口(API)功能,我们能够将微观模拟的计算负载分配到多台单处理器pc上,而无需访问仿真程序的专有源代码。对实现原型的性能测试和分析表明,所提出的框架是很有前途的。
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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