Testing traffic density of a heterogeneous stochastic queueing system using SPRT

We aim to determine the traffic density of the system as a control method in queuing systems and to keep it at the desired level. This article expands the sequential probability ratio test (SPRT) method in the heterogeneous server queuing system, which gives more accurate results in modeling a real-...

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Bibliographic Details
Published inSequential analysis Vol. 40; no. 1; pp. 32 - 45
Main Authors Sagir, Murat, Saglam, Vedat
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 14.01.2021
Taylor & Francis Ltd
Subjects
Control methods
Embedded Markov chain
Gini index
heterogeneous server
Queuing
Queuing theory
SPRT
Traffic control
traffic intensity
Traffic volume
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Summary:We aim to determine the traffic density of the system as a control method in queuing systems and to keep it at the desired level. This article expands the sequential probability ratio test (SPRT) method in the heterogeneous server queuing system, which gives more accurate results in modeling a real-life case. Controlling the traffic density of the heterogeneous server queuing system can be used to determine optimal policies for the system.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0747-4946
1532-4176
DOI:10.1080/07474946.2021.1847960