The survey on Markov-modulated arrival processes and their application to the analysis of active queue management algorithms

The article is devoted to the application of Markov modulated arrival processes (Markov modulated Poisson process — MMPP, Markov modulated Bernoulli process — MMBP and Markov modulated fluid flow — MMFF) models to the analysis of Active Queue Management (AQM) algorithms (Random Early Detection (RED) family, for example). The main ideas and properties of Markov modulated arrival processes (MMAP) are presented as the brief description of RED-type AQM algorithms. A review of the main results obtained with the help of MMAP processes in the analysis of AQM algorithms models is made. The authors formulated problems that also can be solved with the help of MMAP processes when analysing the systems with RED-like algorithms. © 2017, Springer International Publishing AG.

Авторы
Издательство
Springer Verlag
Язык
Английский
Страницы
417-430
Статус
Опубликовано
Том
700
Год
2017
Организации
  • 1 Department of Applied Probability and Informatics, RUDN University, 6 Miklukho-Maklaya Street, Moscow, 117198, Russian Federation
  • 2 Institute of Informatics Problems of the Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, 44-2 Vavilova Street, Moscow, 119333, Russian Federation
  • 3 Laboratory of Information Technologies, Joint Institute for Nuclear Research, Joliot-Curie 6, Dubna, Moscow Region, 141980, Russian Federation
Ключевые слова
Active queue management; Markov modulated arrival processes; Markov modulated Bernoulli process; Markov modulated fluid flow; Markov modulated Poisson process; Random Early Detection (RED)
Дата создания
19.10.2018
Дата изменения
01.03.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/6067/
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