@inproceedings{9a9d7c7ac6334b9aa35cf953f56c5b39,
title = "Capacity allocation in a service system: Parametric and data-driven approaches",
abstract = "We study the capacity allocation problem for a service system that serves its customers with a deterministic service time under a service level requirement. The service level is measured by the probability of customers waiting longer than a pre-specified duration. We model the system as an M/D/1 or a G/D/1 queue and examine two approaches to determining the capacity: a parametric approach based on the effective bandwidth theory and a data-driven approach based on the sample average approximation. We conduct a numerical study to investigate the effectiveness of these two approaches, and find that the data-driven approach is more streamlined, accurate, and widely applicable.",
keywords = "Effective bandwidth, Queueing, Sample average approximation",
author = "Liping Liang and Guanlian Xiao and Hengqing Ye",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-58463-8_25",
language = "English",
isbn = "9783319584621",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "295--307",
booktitle = "Digital Human Modeling",
address = "Germany",
note = "8th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management, DHM 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017 ; Conference date: 09-07-2017 Through 14-07-2017",
}