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On Cyclic Dependencies and Regulators in Time-Sensitive Networks

机译:时间敏感网络中的循环依赖性和调节器

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For time-sensitive networks, as in the context of IEEE TSN and IETF Detnet, cyclic dependencies are associated with certain fundamental properties such as improving availability and decreasing reconfiguration effort. Nevertheless, the existence of cyclic dependencies can cause very large latency bounds or even global instability, thus making the proof of the timing predictability of such networks a much more challenging issue. Cyclic dependencies can be removed by reshaping flows inside the network, by means of regulators. We consider FIFO-per-class networks with two types of regulators: perflow regulators and interleaved regulators (the latter reshape entire flow aggregates). Such regulators come with a hardware cost that is less for an interleaved regulator than for a perflow regulator; both can affect the latency bounds in different ways. We analyze the benefits of both types of regulators in partial and full deployments in terms of latency. First, we propose Low-Cost Acyclic Network (LCAN), a new algorithm for finding the optimum number of regulators for breaking all cyclic dependencies. Then, we provide another algorithm, Fixed- Point Total Flow Analysis (FP-TFA), for computing end-to-end delay bounds for general topologies, i.e., with and without cyclic dependencies. An extensive analysis of these proposed algorithms was conducted on generic grid topologies. For these test networks, we find that FP-TFA computes small latency bounds; but, at a medium to high utilization, the benefit of regulators becomes apparent. At high utilization or for high line transmission-rates, a small number of per-flow regulators has an effect on the latency bound larger than a small number of interleaved regulators. Moreover, interleaved regulators need to be placed everywhere in the network to provide noticeable improvements. We validate the applicability of our approaches on a realistic industrial timesensitive network.
机译:对于时间敏感的网络,例如在IEEE TSN和IETF Detnet的上下文中,循环依赖关系与某些基本属性(例如,提高可用性和减少重新配置工作)相关联。但是,循环依赖性的存在会导致很大的等待时间界限,甚至会导致全局不稳定性,因此,证明此类网络的时间可预测性成为更具挑战性的问题。可以通过调整器通过重塑网络内部的流量来消除循环依赖性。我们考虑具有两种类型的调节器的每类FIFO网络:流量调节器和交错调节器(后者重塑了整个流量聚合)。这种调节器的硬件成本比交错调节器的成本低,而交错式调节器的硬件成本却更低。两者都会以不同的方式影响延迟范围。我们从延迟方面分析了部分和完全部署中两种类型的调节器的优势。首先,我们提出了低成本非循环网络(LCAN),这是一种用于寻找打破所有循环依赖性的最佳调节器数量的新算法。然后,我们提供了另一种算法,定点总流分析(FP-TFA),用于计算通用拓扑(即具有和不具有循环依赖性)的端到端延迟范围。在通用网格拓扑结构上对这些提议的算法进行了广泛的分析。对于这些测试网络,我们发现FP-TFA计算的延迟较小;但是,在中到高利用率下,监管机构的好处显而易见。在高利用率或高线路传输率的情况下,与少数几个交错式调节器相比,少量的每流调节器对延迟范围的影响更大。而且,交错式调节器需要放置在网络中的任何位置,以提供明显的改进。我们验证了我们的方法在现实的工业时间敏感网络上的适用性。

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