Workshop on High Performance Switching and Routing, Merging Optical and IP Technologie
DOI: 10.1109/hpsr.2002.1024211
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Frame-based matching algorithms for input-queued switches

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Cited by 42 publications
(33 citation statements)
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“…In this paper, we make use of the fairness index defined in [29] to evaluate the fairness performance, let erage value of FI as average fairness index (AFI), which is calculated as the fairness index averaged over all the considered loads of input traffic. The fairness index results under log-diagonal traffic and asymmetric traffic [31] for load ρ (90%-100%) are presented in Table 1 and 2. It is shown that MCQF RR and IMCQF RR achieve much better fairness than LQF RR for these two non-uniform traffic patterns, and AFI of IM-CQF RR is significantly higher than LQF RR by almost 20% for log-diagonal traffic.…”
Section: Fairness Performancementioning
confidence: 99%
“…In this paper, we make use of the fairness index defined in [29] to evaluate the fairness performance, let erage value of FI as average fairness index (AFI), which is calculated as the fairness index averaged over all the considered loads of input traffic. The fairness index results under log-diagonal traffic and asymmetric traffic [31] for load ρ (90%-100%) are presented in Table 1 and 2. It is shown that MCQF RR and IMCQF RR achieve much better fairness than LQF RR for these two non-uniform traffic patterns, and AFI of IM-CQF RR is significantly higher than LQF RR by almost 20% for log-diagonal traffic.…”
Section: Fairness Performancementioning
confidence: 99%
“…We simulated these four schemes under several nonuniform traffic models: unbalanced [13], Chang's [10], asymmetric [14], and power-of-two (PO2) [11].…”
Section: B Nonuniform Trafficmentioning
confidence: 99%
“…With a single-stage switch, the exhaustive dual round-robin matching (EDRRM) has been shown to achieve a throughput higher than iSLIP and DRRM under nonuniform traffic patterns. Furthermore, frame 1 based matching have been shown to improve switching performance under different traffic scenarios [11], [12].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, CICB-SA and CICB-FA were simulated under power-of-two traffic [14] for 30 × 30 switches. The power of two (PO2) traffic model can be represented by matrixρ as: This traffic model presents a large nonuniformity in the traffic distribution among N possible destinations.…”
Section: Nonuniform Traffic: Power Of Twomentioning
confidence: 99%