2014
DOI: 10.1049/iet-com.2013.0223
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Providing 100% throughput in memory–memory–memory switches with in‐sequence service

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Cited by 5 publications
(3 citation statements)
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“…For the traffic distribution model, we consider the nonuniform distribution to simulate burst traffic. This traffic model uses the probability ω as the fraction of input load directed to some predetermined outputs, whereas the rest of the input load is directed to all outputs with a uniform distribution.…”
Section: Simulation and Evaluationmentioning
confidence: 99%
“…For the traffic distribution model, we consider the nonuniform distribution to simulate burst traffic. This traffic model uses the probability ω as the fraction of input load directed to some predetermined outputs, whereas the rest of the input load is directed to all outputs with a uniform distribution.…”
Section: Simulation and Evaluationmentioning
confidence: 99%
“…where (see (12)) We can use (8)- (12) to solve state transition probability p m, k , then use (6) and (7) to solve steady-state probability π k . At last, apply the solutions to (1) and (2) to obtain the switch throughput and delay values.…”
Section: Probability Of Full Buffermentioning
confidence: 99%
“…When tested under real-trace traffic [10], CQ switches with a feasible crosspoint buffer size can realise a good performance using round robin (RR) or random scheduling algorithms. Based on the above advantages, more and more highspeed large-scale switches [11][12][13][14][15] have taken CQ switch into consideration to simplify the dispatching procedure.…”
Section: Introductionmentioning
confidence: 99%