HLA-Based Distributed Simulation Cloning

Dan Chen, S. Turner, Boon-Ping Gan, Wentong Cai
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引用次数: 9

Abstract

Distributed simulation cloning technology is designed to analyze alternative scenarios of a distributed simulation concurrently within the same simulation execution session. One important goal of the technology is to optimize execution by avoiding repeated computation amongst independent scenarios. Our research is concerned with the cloning of High Level Architecture (HLA) based distributed simulations. A decoupled federate architecture is designed to support correct federate cloning at runtime. A federate may spawn clones to explore different scenarios at a decision point. To address the complexity of the overall cloning-enabled distributed simulation due to increasing scenario spawning, we have devised an efficient and precise scheme to identify and partition scenarios. It is desirable to use an incremental cloning mechanism to replicate only those federates whose states will be affected while the rest remain intact and are shared amongst the original and new scenarios. Our incremental cloning mechanism ensures accurate sharing and initiates cloning only when strictly necessary.
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基于hla的分布式仿真克隆
分布式仿真克隆技术旨在分析同一仿真执行会话中并发的分布式仿真的备选方案。该技术的一个重要目标是通过避免独立场景之间的重复计算来优化执行。我们的研究涉及基于HLA的分布式仿真的克隆。解耦的联邦体系结构旨在支持在运行时进行正确的联邦克隆。联邦可以在决策点生成克隆来探索不同的场景。为了解决由于不断增加的场景生成而导致的整体支持克隆的分布式模拟的复杂性,我们设计了一个有效而精确的方案来识别和划分场景。最好使用增量克隆机制,只复制那些状态将受到影响的联邦,而其余的联邦保持不变,并在原始场景和新场景之间共享。我们的增量克隆机制确保准确的共享,并仅在必要时才启动克隆。
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