2017
DOI: 10.1007/s11134-017-9562-x
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Optimal heavy-traffic queue length scaling in an incompletely saturated switch

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Cited by 24 publications
(35 citation statements)
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“…For the first case, we assume that the interval (t 0 , t 1 ) is jump-free. 9 We consider two subcases. If t 0 = 0, then…”
Section: B7mentioning
confidence: 99%
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“…For the first case, we assume that the interval (t 0 , t 1 ) is jump-free. 9 We consider two subcases. If t 0 = 0, then…”
Section: B7mentioning
confidence: 99%
“…Robust delay stability via Lyapunov functions. Lyapunov functions are a powerful tool for the stability analysis of queueing networks, [19,4,9] e.g., in throughput optimality proofs for the MW policy [19,14]. The references [10,12] provided a sufficient condition for delay stability based on a class of piecewise linear Lyapunov functions, and used it to derive a sharp characterization of delay stability for a special class of networks, namely networks with disjoint schedules.…”
mentioning
confidence: 99%
“…Then, using the Kingman bound for single server queue in Lemma 1, we get (7). Similarly lower bounding the total queue length for output port (column) j, i q (ǫ) ij (t) by a single server queue, we get (8). Taking the heavy traffic limits using the fact that γ…”
Section: Universal Lower Boundmentioning
confidence: 99%
“…
The paper studies the input queued switch that is a good model for data center networks, operating under the MaxWeight algorithm. The heavy-traffic scaled mean queue length was characterized in Maguluri et al (2018), Maguluri and Srikant (2016) when the arrivals are i.i.d.. This paper characterizes the heavy-traffic scaled mean sum queue length under Markov modulated arrivals in the heavy-traffic limit, and shows that it is within a factor of less than 2 from a universal lower bound.
…”
mentioning
confidence: 97%