2006 Workshop on High Performance Switching and Routing 2006
DOI: 10.1109/hpsr.2006.1709743
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Delivering 100% throughput in a buffered crossbar with round robin scheduling

Abstract: Abstract-Buffered crossbars with Virtual Output Queuing are considered an alternative to bufferless crossbars mainly because the latter requires a complex global scheduling algorithm that matches input with output. Buffered crossbars require only simple schedulers that operate independently for each output crosspoint queue column and independently for each port card. In this paper, fluid-model techniques will be utilized to show that the necessary and sufficient speedup for a NxN buffered crossbar with 1-cell … Show more

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Cited by 16 publications
(17 citation statements)
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“…For a fixed , at time , we have [28]: -, the cumulative number of arrivals to ; -, the number of packets in ; -, the cumulative number of departures from ; -, the cumulative number of arrivals to ; -, the number of packets in ; -, the cumulative number of departures from . For each , we define It is shown in [29] and [30] that for each fixed satisfying (4), (5), and any sequence with as , there exist a subsequence and the continuous functions , where converges to uniformly on compacts as for any (7) Definition 1: Any function obtained through the limiting procedure in (7) is said to be a fluid limit of the switch. Thus, the fluid model equations using our proposed scheduling algorithms are…”
Section: A Constructing Fluid Modelmentioning
confidence: 99%
“…For a fixed , at time , we have [28]: -, the cumulative number of arrivals to ; -, the number of packets in ; -, the cumulative number of departures from ; -, the cumulative number of arrivals to ; -, the number of packets in ; -, the cumulative number of departures from . For each , we define It is shown in [29] and [30] that for each fixed satisfying (4), (5), and any sequence with as , there exist a subsequence and the continuous functions , where converges to uniformly on compacts as for any (7) Definition 1: Any function obtained through the limiting procedure in (7) is said to be a fluid limit of the switch. Thus, the fluid model equations using our proposed scheduling algorithms are…”
Section: A Constructing Fluid Modelmentioning
confidence: 99%
“…The fluid model of a switch operating under a scheduling algorithm is said to be weakly stable if for every fluid model solution D,Z À Á with Zð0Þ ¼ 0,ZðtÞ ¼ 0 for almost every tZ0. From Berger (2006), the switch is rate stable if the corresponding fluid model is weakly stable. Our goal here is to prove that for every fluid model solution D,Z À Á using HRF, ZðtÞ ¼ 0 for almost every t. To prove ZðtÞ ¼ 0 , we will use the following Fact 1 from Dai and Prabhakar (2000):…”
Section: A1 Constructing Fluid Modelmentioning
confidence: 99%
“…We shall sometimes use the notation A ij (Á ,o), Z ij (Á ,o) and D ij (Á ,o) to explicitly denote the dependency on the sample path o. For a fixed o, at time t, we have (Berger, 2006):…”
Section: A1 Constructing Fluid Modelmentioning
confidence: 99%
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“…In [3], the results were extended to variable size packets. The author in [4] proved that the speedup requirement can be reduced to 2 -liN. However, without speedup, previous throughput results are only limited to uniform traffic loads.…”
mentioning
confidence: 99%