Processor-shared buffers with reneging
Performance Evaluation - Special issue on bandwidth management and congestion control of high-speed networks
Improving Service by Informing Customers About Anticipated Delays
Management Science
Queueing Systems: Theory and Applications
A Diffusion Approximation for a Markovian Queue with Reneging
Queueing Systems: Theory and Applications
Designing a Call Center with Impatient Customers
Manufacturing & Service Operations Management
Properties of the Reflected Ornstein–Uhlenbeck Process
Queueing Systems: Theory and Applications
A Diffusion Approximation for a Markovian Queue with Reneging
Queueing Systems: Theory and Applications
Estimation for queues from queue length data
Queueing Systems: Theory and Applications
Manufacturing & Service Operations Management
Computers and Industrial Engineering
The n-network model with upgrades
Probability in the Engineering and Informational Sciences
Dynamic control of a single-server system with abandonments
Queueing Systems: Theory and Applications
An Overloaded Multiclass FIFO Queue with Abandonments
Operations Research
Diffusion approximations for open Jackson networks with reneging
Queueing Systems: Theory and Applications
On the time-dependent moments of Markovian queues with reneging
Queueing Systems: Theory and Applications
Dynamic scheduling of a GI/GI/1+GI queue with multiple customer classes
Queueing Systems: Theory and Applications
Data-stories about (im)patient customers in tele-queues
Queueing Systems: Theory and Applications
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Consider a single-server queue with a renewal arrival process and generally distributed processing times in which each customer independently reneges if service has not begun within a generally distributed amount of time. We establish that both the workload and queue-length processes in this system can be approximated by a regulated Ornstein-Uhlenbeck (ROU) process when the arrival rate is close to the processing rate and reneging times are large. We further show that a ROU process also approximates the queue-length process, under the same parameter assumptions, in a balking model. Our balking model assumes the queue-length is observable to arriving customers, and that each customer balks if his or her conditional expected waiting time is too large.