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On the Allocation of Aperiodic Traffic in TSN/TAS Networks
Abstract
Although networks based on IEEE 802 standards were initially designed to transport best-effort traffic, they now can accommodate all sorts of traffic, including time-sensitive ones. The latter is possible through standards and mechanisms developed and maintained by the IEEE Time-Sensitive Networking (TSN) Task Group. One of these mechanisms, Time Aware Shaper (TAS), synchronizes the network and pre-assigns time slots for different traffic types; this ensures latency bounds and guarantees for streams of periodically arriving data. However, aperiodic or randomly arriving traffic still needs to be transported under this time-slotted network, creating a challenge for the network designer to find time-aware parameters that do not impact this stochastic traffic. In this dissertation, we study the impact of those time-aware parameters on the latency of traffic formed by randomly arriving frames and propose different mechanisms to find these parameters so the latency induced by the network into this traffic is minimized. To accomplish these tasks, we modeled the setting as a network of polling systems and used queueing theory to find an approximation to the latency in a TSN/TAS path under different setting conditions. In addition, we formulated and solved a mixed integer linear program to find optimal parameters for this network of polling systems. Furthermore, we developed a set of single-shot heuristics and a Monte Carlo tree search-based approach to finding adequate parameters efficiently. We expect our research contributes to the development of future data networks and our methodologies to the field of applied operations research.
Citation
Diaz Martinez, Neil Orlando (2023). On the Allocation of Aperiodic Traffic in TSN/TAS Networks. Doctoral dissertation, Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /200027.