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Most existing criteria for sizing router buffers rely on explicit formulation of the relationship between buffer size and characteristics of Internet traffic. However, this is a non-trivial, if not impossible, task given that the number of flows, their individual RTTs, and congestion control methods, as well as flow responsiveness, are unknown. In this paper, the authors undertake a completely different approach that uses control-theoretic buffer size tuning in response to traffic dynamics. Motivated by the monotonic relationship between buffer size and loss rate and utilization, they design a mechanism called Adaptive Buffer Sizing (ABS), which is composed of two Integral controllers for dynamic buffer adjustment and two gradient-based components for intelligent parameter training.
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