Testing traffic density of a heterogeneous stochastic queueing system using SPRT

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Sequential Analysis-Design Methods and Applications Pub Date : 2021-01-14 DOI:10.1080/07474946.2021.1847960
Murat Sagir, V. Saglam
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引用次数: 1

Abstract

Abstract 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.
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用SPRT测试异构随机排队系统的流量密度
摘要我们的目的是确定系统的流量密度,作为排队系统的一种控制方法,并将其保持在所需的水平。本文将序列概率比检验(SPRT)方法扩展到异构服务器排队系统中,在建模真实案例时给出了更准确的结果。控制异构服务器排队系统的流量密度可以用于确定系统的最优策略。
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来源期刊
CiteScore
1.40
自引率
12.50%
发文量
20
期刊介绍: The purpose of Sequential Analysis is to contribute to theoretical and applied aspects of sequential methodologies in all areas of statistical science. Published papers highlight the development of new and important sequential approaches. Interdisciplinary articles that emphasize the methodology of practical value to applied researchers and statistical consultants are highly encouraged. Papers that cover contemporary areas of applications including animal abundance, bioequivalence, communication science, computer simulations, data mining, directional data, disease mapping, environmental sampling, genome, imaging, microarrays, networking, parallel processing, pest management, sonar detection, spatial statistics, tracking, and engineering are deemed especially important. Of particular value are expository review articles that critically synthesize broad-based statistical issues. Papers on case-studies are also considered. All papers are refereed.
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