Performance of Random Arbitration in Switching Fabrics

This paper presents a throughput analysis for switches or switching fabrics with small output buffers, where a scheduler needs to compute approximate matchings, i.e., match multiple inputs to the same output. We adopt a random arbitration scheme, which is an extension of Parallel Iterative Matching (PIM) [1, 3]. We propose a performance analysis based on a Markov Chain modeling of output credits and further devise an iterative solving procedure for it. The analytical results match very well with simulations of various switch and buffer sizes. Our analysis and experiments also show that with very modest output buffers, switches of any size can provide full throughput under uniformly distributed traffic.

By: Lydia Y. Chen, Nikolaos Chrysos

Published in: RZ3856 in 2013


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