The paper Accelerating Performance Inference over Closed Systems by Asymptotic Methods has won the best paper award at ACM Sigmetrics’17.
The paper presents novel formulas and computational algorithms for the normalizing constant of state probability of closed queueing network models.
An extended abstract is available here.
