Time management in active networks

Craig A. Lee, E. Coe, J. Clark, J. Stepanek, K. Bellman, C. Raghavendra
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引用次数: 2

Abstract

Investigates time management for distributed simulations in active networks. Time management is essentially the computation of the lower-bound time stamp (LBTS) across federates in a distributed simulation, including in-transit (in-flight) messages. We show that LBTS computation is an instance of the distributed termination detection (DTD) problem and how DTD algorithms can be applied to the LBTS in an active network. These algorithms are potentially much more efficient than traditional algorithms that rely on point-to-point communication. We demonstrate the potential of the "distinguished root node" algorithm, which can compute the LBTS in O(log n) time in general network topologies using a prototype implemented in Java. While active network algorithms have the potential for improved functionality and superior performance, this potential will only be realized when "native" implementations are possible. For wide-scale deployment, real-world issues, such as reliable delivery, dynamic routing topologies, security and fault tolerance, have to be systematically addressed.
主动网络中的时间管理
研究主动网络中分布式仿真的时间管理。时间管理本质上是分布式模拟中跨联邦的下限时间戳(LBTS)的计算,包括传输中的(飞行中的)消息。我们展示了LBTS计算是分布式终止检测(DTD)问题的一个实例,以及如何将DTD算法应用于主动网络中的LBTS。这些算法可能比依赖点对点通信的传统算法更有效。我们展示了“区分根节点”算法的潜力,该算法可以使用Java实现的原型在O(log n)时间内计算一般网络拓扑中的LBTS。虽然主动网络算法具有改进功能和卓越性能的潜力,但这种潜力只有在“本地”实现成为可能时才能实现。对于大规模部署,必须系统地解决诸如可靠交付、动态路由拓扑、安全性和容错等现实问题。
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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