Approach to estimation of performance measures for SIP server model with batch arrivals

In this paper an approach to analysis of dependence of Session Initiation Protocol server model with batch arrivals performance measures on batch size distribution is considered. Proposed approach employs non-parametric methods of statistical analysis. It is shown that there is statistical reliable dependence of performance measures, taken for signaling traffic analysis, on distance between distributions in definite norm. On the basis of proposed analysis elasticity coefficients were evaluated depending on distance between batch size distributions. This approach enables to get correction factors for estimation of these parameters in case distribution functions differ from uniform. © Springer International Publishing Switzerland 2016.

Авторы
Orlov Y.1 , Gaidamaka Y. 2 , Zaripova E. 2
Издательство
Springer Verlag
Язык
Английский
Страницы
141-150
Статус
Опубликовано
Том
601
Год
2016
Организации
  • 1 Keldysh Institute of Applied Mathematics Russian Academy of Sciences, Miusskaya sq. 4, Moscow, 125047, Russian Federation
  • 2 Peoples’ Friendship University of Russia, Miklukho-Maklaya street 6, Moscow, 117198, Russian Federation
Ключевые слова
Batch arrivals; Distribution function; Norm; Optimization; Parameter sensibility; Performance measure; Queuing system; Sample; SIP mathematical model
Дата создания
19.10.2018
Дата изменения
24.02.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/3998/