Optimality gaps in asymptotic dimensioning of many-server systems
Optimization and Control
2015-11-06 v1 Probability
Abstract
The Quality-and-Efficiency-Driven (QED) regime provides a basis for solving asymptotic dimensioning problems that trade off revenue, costs and service quality. We derive bounds for the optimality gaps that capture the differences between the true optimum and the asymptotic optimum based on the QED approximations. Our bounds generalize earlier results for classical many-server systems. We also apply our bounds to a many-server system with threshold control.
Keywords
Cite
@article{arxiv.1511.01798,
title = {Optimality gaps in asymptotic dimensioning of many-server systems},
author = {Jaron Sanders and S. C. Borst and A. J. E. M. Janssen and J. S. H. van Leeuwaarden},
journal= {arXiv preprint arXiv:1511.01798},
year = {2015}
}
Comments
17 pages, 2 figures, 2 tables