基于BOM的分布式系统任务规划算法研究

Xinye Zhao, Jian Huang, Yunfei Liu, Chunguang Peng, Rongqing Meng
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引用次数: 0

摘要

HLA仿真系统的典型侧条件是在特殊的联邦中,联邦的仿真功能处于FOM的项圈中。有一些方法可以通过导入BOM思想来解决这些缺陷。然而,将BOM应用到HLA仿真系统中,增加了仿真的粒度和层次,增加了维护负载平衡的难度。因此,本文对基于BOM的联邦开发和运行过程中的任务分配算法和动态联邦布局算法进行了深入研究。实验验证了综合算法有效地保证了仿真系统的负载均衡,提高了基于bom的联邦的运行效率。正如本文档中给出的部分所说明的那样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Algorithms for Task Planning in Distributed System Based on BOM
The side conditions of HLA simulation system typically are that the simulation function of federate is in the collar of FOM in the special federation. There are ways to work around these deficiencies by importing BOM idea. However, applying BOM into HLA simulation systems increases the granularity and level of simulation, which enhances the difficulties of maintain the load balance. Consequently, in this paper we delve into the algorithms for task assignment and algorithms for dynamic federate layout in the exploitation and running processes of federation based on BOM. The experiments validates that the synthetic algorithms guarantee effectually the load balance of simulation system, improving the running efficiency of BOM-based federation. as illustrated by the portions given in this document.
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