Dynamic programming: deterministic and stochastic models
Dynamic programming: deterministic and stochastic models
Impact of fairness on Internet performance
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Stable scheduling policies for fading wireless channels
IEEE/ACM Transactions on Networking (TON)
Control Techniques for Complex Networks
Control Techniques for Complex Networks
Asymptotically tight steady-state queue length bounds implied by drift conditions
Queueing Systems: Theory and Applications
On Sample-Path Optimal Dynamic Scheduling for Sum-Queue Minimization in Forests
IEEE/ACM Transactions on Networking (TON)
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It has been conjectured that MWS-α scheduling policies with α going to zero are heavy-traffic optimal for scheduling in a generalized switch when the objective is to minimize the number of backlogged packets in the system. We examine this conjecture by first deriving optimal or heavy-traffic optimal policies for small switches and then comparing them to MWS-α policies by simulation. Our conclusion is that the conjecture is not true in general, i.e., there are simple topologies for which there exist policies that outperform MWS-α in heavy traffic.