Abstract
This article summarizes some recent advances in the analysis of polling models in which the server uses system-state information to affect its behavior. Literature dealing with a special class of such models in which the server lies dormant upon finding the system empty, and reactivates only when the system is populated by a critical number of customers, is closely examined. Rather than provide a broad review of literature, the focus of this article is on providing insights, on building bridges with earlier literature, and on identifying common underlying principles.
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Gupta, D., Günalay, Y. (1997). Recent Advances in the Analysis of Polling Systems. In: Balakrishnan, N. (eds) Advances in Combinatorial Methods and Applications to Probability and Statistics. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-4140-9_20
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DOI: https://doi.org/10.1007/978-1-4612-4140-9_20
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