Learning and Information in Stochastic Networks and Queues
Author:
Affiliation:
1. University of Manchester, Manchester M13 9PL, United Kingdom;
2. Stanford University, Stanford, California 94305
Publisher
INFORMS
Reference108 articles.
1. On the Gittins index in the M/G/1 queue
2. Power-of-d-Choices with Memory: Fluid Limit and Optimality
3. Dynamic network evolution, with examples from AT&T's evolving dynamic network
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