A Discrete-Event Solver for Repairable Flow Networks with Complex Topology

Michael T. Todinov
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引用次数: 1

Abstract

The paper presents a discrete-event simulator of repairable flow networks with complex topology. The solver is based on an efficient algorithm for maximizing the flow in repairable flow networks with complex topology. The discrete-event solver maximizes the flow through the repairable network upon each component failure and return from repair. This ensures a larger output flow compared to a flow maximization conducted on the static flow network. Because of the flow maximization upon failure and return from repair, the simulator also tracks naturally the variation of the output flow from multiple overlapping failures. The discrete-event solver determines the basic performance characteristic of repairable flow networks – the expected output flow delivered during a specified time interval in the presence of component failures.
复杂拓扑可修流网络的离散事件求解器
提出了一种具有复杂拓扑结构的可修流网络离散事件模拟器。该求解器基于一种求解复杂拓扑可修流网络中流量最大化的有效算法。离散事件求解器在每个部件故障和修复后返回时,使可修网络的流量最大化。与静态流量网络上的流量最大化相比,这确保了更大的输出流量。由于故障后的流量最大化和修复后的返回,模拟器还可以自然地跟踪多个重叠故障的输出流量变化。离散事件求解器确定了可修流网络的基本性能特征-在存在组件故障的特定时间间隔内交付的预期输出流。
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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