Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws

We propose a new approach to analyze multiclass queueing systems in heavy traffic based on what we consider as fundamental laws in queueing systems, namely distributional and conservation laws. Methodologically, we extend the distributional laws from single class queueing systems to multiple classes...

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Main Authors: Bertsimas, Dimitris J., Mourtzinou, Georgia
Format: Working Paper
Language:en_US
Published: Massachusetts Institute of Technology, Operations Research Center 2004
Online Access:http://hdl.handle.net/1721.1/5309
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author Bertsimas, Dimitris J.
Mourtzinou, Georgia
author_facet Bertsimas, Dimitris J.
Mourtzinou, Georgia
author_sort Bertsimas, Dimitris J.
collection MIT
description We propose a new approach to analyze multiclass queueing systems in heavy traffic based on what we consider as fundamental laws in queueing systems, namely distributional and conservation laws. Methodologically, we extend the distributional laws from single class queueing systems to multiple classes and combine them with conservation laws to find the heavy traffic behavior of the following systems: a)EGI/G/1 queue under FIFO, b) EGI/G/1 queue with priorities, c) Polling systems with general arrival distributions. Compared with traditional heavy traffic analysis via Brownian processes, our approach gives more insight to the asymptotics used, solves systems that traditional heavy traffic theory has not fully addressed, and more importantly leads to closed form answers, which compared to simulation are very accurate even for moderate traffic.
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spelling mit-1721.1/53092019-04-12T07:19:44Z Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws Bertsimas, Dimitris J. Mourtzinou, Georgia We propose a new approach to analyze multiclass queueing systems in heavy traffic based on what we consider as fundamental laws in queueing systems, namely distributional and conservation laws. Methodologically, we extend the distributional laws from single class queueing systems to multiple classes and combine them with conservation laws to find the heavy traffic behavior of the following systems: a)EGI/G/1 queue under FIFO, b) EGI/G/1 queue with priorities, c) Polling systems with general arrival distributions. Compared with traditional heavy traffic analysis via Brownian processes, our approach gives more insight to the asymptotics used, solves systems that traditional heavy traffic theory has not fully addressed, and more importantly leads to closed form answers, which compared to simulation are very accurate even for moderate traffic. 2004-05-28T19:32:57Z 2004-05-28T19:32:57Z 1993-10 Working Paper http://hdl.handle.net/1721.1/5309 en_US Operations Research Center Working Paper;OR 281-93 2000458 bytes application/pdf application/pdf Massachusetts Institute of Technology, Operations Research Center
spellingShingle Bertsimas, Dimitris J.
Mourtzinou, Georgia
Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws
title Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws
title_full Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws
title_fullStr Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws
title_full_unstemmed Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws
title_short Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws
title_sort multiclass queueing systems in heavy traffic an asymptotic approach based on distributional and conservation laws
url http://hdl.handle.net/1721.1/5309
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