Large deviation properties of data streams that share a buffer
type: Item
instance of: scholarly article
title: Large deviation properties of data streams that share a buffer
zbMATH Open document ID: 0939.60020
author: Kavita Ramanan
author: Paul Dupuis
published in: The Annals of Applied Probability
publication date: 2000-07-05T00:00:00Z
review text: The authors analyse the tail behaviour of the stationary distribution of the buffer content process for a two-station communication network. They also show the associate rate function as the solution to a finite-dimensional variational problem. They develop, in due course, a number of results and techniques that are of independent interest. As a result, they obtain a new technique for large derivation principles for invariant distributions from sample path large deviation.
Mathematics Subject Classification ID: 60F10
Mathematics Subject Classification ID: 90B15
zbMATH DE Number: 1319906
zbMATH Keywords: large deviations
zbMATH Keywords: data networks
zbMATH Keywords: bandwidths
zbMATH Keywords: fluid models
zbMATH Keywords: Skorokhod problem
zbMATH Keywords: rate function
reviewed by: V. Thangaraj
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aoap/1028903374
OpenAlex ID: W2038735012
Wikidata QID: Q114599163
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DOI: 10.1214/AOAP/1028903374
description: scientific article; zbMATH DE number 1319906