Corrigendum: Stochastic control of queueing systems

Learning-Aided Control in Stochastic Queueing Systems

In this paper, we investigate the power of online learningin stochastic network optimization with unknown systemstatistics a prior. We are interested in understanding howinformation and learning can be efficiently incorporated intosystem control techniques, and what are the fundamentalbenefits of doing so. We propose two Online Learning-AidedControl techniques, OLAC and ...

Perturbation Analysis for Stochastic Fluid Queueing Systems

Recent study for congestion control in high speed networks indicates that the derivative information for the congestion at the common buffer for multiple sources could be useful in achieving efficient and fair allocation of the bandwidth (Kelly 1997, 1998). In this paper we present an algorithm that estimates such derivatives for multiple on-off sources. The algorithm has its root in the infini...

Stochastic Performance Evaluation of Computer and Communication Systems – Markov Chains , Queueing Systems and Queueing Networks

Fuzzy service control of queueing systems

We consider queueing systems in which the service rate is the controlled variable. The cost depends on the queue length and selected rate. The objective is to choose the service rate dynamically, based on the state of the system so as to minimize the average cost over an infinite horizon. Six classes, either known in the literature or new, are studied in detail: queueing systems with vacations,...

Analysis, Design, and Control of Queueing Systems

As the reader will quickly discover, this article is a survey—from my personal perspective—of fifty years of research on the analysis, design, and control of queues. My choice of topics is far from exhaustive; I have focused on those research achievements that I believe have been the most significant in their contributions to queueing theory and to its application. They are the achievements tha...