A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Switch Packet Arbitration via Queue-Learning
2001
Neural Information Processing Systems
Preserved Fulltext
In packet switches, packets queue at switch inputs and contend for outputs. The contention arbitration policy directly affects switch performance. The best policy depends on the current state of the switch and current traffic patterns. This problem is hard because the state space, possible transitions, and set of actions all grow exponentially with the size of the switch. We present a reinforcement learning formulation of the problem that decomposes the value function into many small
dblp:conf/nips/Brown01
fatcat:g6dvymscpbatlisrisqoybslh4