Most of today's high-speed switches and routers adopt an input-queued crossbar switch architecture. Such a switch needs to compute a matching (crossbar schedule) between the input ports and output ports during each switching cycle (time slot). A key research challenge in designing large (in number of input/output ports N) input-queued crossbar switches is to develop crossbar scheduling algorithms that can compute "high quality" matchings - i.e.  those that result in high switch throughput (ideally 100\\%DIF < ) and low queueing delays for packets - at line rates. SERENA is arguably the best algorithm in that regard: It outputs excellent matching decisions that result in 100\\% switch throughput and near-optimal queueing delays. However, since SERENA is a centralized algorithm with O(N) computational complexity, it cannot support switches that both are large (in terms of N) and have a very high line rate per port. In this work, we propose SERENADE (SERENA, the Distributed Edition), a parallel algorithm suite that emulates SERENA in only O(\log N) \%(distributed) iterations between input ports and output ports, and hence has a time complexity of only O(\log N) per port. Through extensive simulations, we show that all three variants in the SERENADE suite can, either provably or empirically, achieve 100\\% throughput, and that they have similar delay performances as SERENA under heavy traffic loads.abstract %DIF > ) and low queueing delays for packets -- at line rates. SERENA is one such algorithm: it outputs excellent matching decisions that result in 100\\% switch throughput and near-optimal queueing delays. However, since SERENA is a centralized algorithm with O(N) computational complexity, it cannot support switches that both are large and have a very high line rate per port. In this work, we propose SERENADE (SERENA, the Distributed Edition), a parallel iterative algorithm suite that emulates SERENA in only O(\log N) iterations between input ports and output ports, and hence has a time complexity of only O(\log N) per port. Through theoretical analysis and extensive simulations, we show that all three variants in the SERENADE suite can, provably and/or empirically, achieve 100\% throughput, and that they have similar delay performances as SERENA under heavy traffic loads.
Most of today's high-speed switches and routers adopt an input-queued crossbar switch architecture. Such a switch needs to compute a matching (crossbar schedule) between the input ports and output ports during each switching cycle (time slot). A key research challenge in designing large (in number of input/output ports N) input-queued crossbar switches is to develop crossbar scheduling algorithms that can compute "high quality" matchings -- i.e. , those that result in high switch throughput (ideally 100\\%DIF < ) and low queueing delays for packets - at line rates. SERENA is arguably the best algorithm in that regard: It outputs excellent matching decisions that result in 100\\% switch throughput and near-optimal queueing delays. However, since SERENA is a centralized algorithm with O(N) computational complexity, it cannot support switches that both are large (in terms of N) and have a very high line rate per port. In this work, we propose SERENADE (SERENA, the Distributed Edition), a parallel algorithm suite that emulates SERENA in only O(\log N) \%(distributed) iterations between input ports and output ports, and hence has a time complexity of only O(\log N) per port. Through extensive simulations, we show that all three variants in the SERENADE suite can, either provably or empirically, achieve 100\\% throughput, and that they have similar delay performances as SERENA under heavy traffic loads.abstract %DIF > ) and low queueing delays for packets -- at line rates. SERENA is one such algorithm: it outputs excellent matching decisions that result in 100\\% switch throughput and near-optimal queueing delays. However, since SERENA is a centralized algorithm with O(N) computational complexity, it cannot support switches that both are large and have a very high line rate per port. In this work, we propose SERENADE (SERENA, the Distributed Edition), a parallel iterative algorithm suite that emulates SERENA in only O(\log N) iterations between input ports and output ports, and hence has a time complexity of only O(\log N) per port. Through theoretical analysis and extensive simulations, we show that all three variants in the SERENADE suite can, provably and/or empirically, achieve 100\% throughput, and that they have similar delay performances as SERENA under heavy traffic loads.
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