Maximum entropy principle based estimation of performance distribution in queueing theory

大一 何;Ran Li;Qi Huang;平 雷

China University of Geosciences (Beijing)

发表时间:2014-9

期 刊:PLoS ONE

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=84930074544&partnerID=8YFLogxK

摘要

In related research on queuing systems, in order to determine the system state, there is a widespread practice to aume that the system is stable and that distributions of the customer arrival ratio and service ratio are known information. In this study, the queuing system is looked at as a black box without any aumptions on the distribution of the arrival and service ratios and only keeping the aumption on the stability of the queuing system. By applying the principle of maximum entropy, the performance distribution of queuing systems is derived from some easily acceible indexes, such as the capacity of the system, the mean number of customers in the system, and the mean utilization of the servers. Some special cases are modeled and their performance distributions are derived. Using the chi-square goodne of fit test, the accuracy and generality for practical purposes of the principle of maximum entropy approach is demonstrated.

相关科学

农业与生物科学
生物化学、遗传学和分子生物学

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007 1.379 0.543
2008 2.506 1.009
2009 2.614 1.059
2010 2.705 1.193
2011 4.5 2.425 1.253
2012 4.1 1.982 1.17
2013 4.4 1.772 1.162
2014 5.1 1.559 1.151
2015 5.6 1.427 1.15
2016 5.9 1.236 1.124
2017 5.7 1.164 1.149
2018 5.4 1.1 1.167
2019 5.2 1.023 1.205
2020 5.1

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