Research of traffic characteristics in multiservice networks

dc.contributor.authorBondar, D.
dc.contributor.authorLevytskyi, B.
dc.date.accessioned2021-05-05T08:15:26Z
dc.date.available2021-05-05T08:15:26Z
dc.date.issued2021
dc.descriptionBondar D. Research of traffic characteristics in multiservice networks / D. Bondar, B. Levytskyi ; advisor : N. Kniazieva // Black Sea Science 2021 : proc. of the Intern. Competition of Student Scientific Works / Odessa National Academy of Food Technologies ; eds. B. Yegorov, M. Mardar [et al.]. – Odessa: ONAFT, 2021. – P. 465–480 : tabl., fig. – Ref.: 16 tit.ru_RU
dc.description.abstractThe purpose of this work is to study the nature of the incoming and outgoing traffic of multiservice networks for all types of service, divided into classes and subclasses. The object of the research is the process of researching the nature of the incoming traffic and outgoing traffic of multiservice networks by classes and subclasses of services. The subject of this research is traffic generated by services in packet-switched networks. Based on the analysis of existing methods, the R/S method was chosen to solve the problem of identifying the nature of traffic based on the determination of the Hurst exponent. The research data of incoming and outgoing traffic for all types of services for all studied periods, namely days of the week, months and half a year, indicate that the generated traffic is self-similar. The data obtained as a result of the study can serve as the basis for the design of modern networks, can be used to solve an urgent problem - the development of an analytical model of the NGN service provision management system, taking into account the self-similarity of traffic, which makes it possible to determine the quality indicators of services by classes and subclasses.ru_RU
dc.identifier.urihttps://card-file.ontu.edu.ua/handle/123456789/17585
dc.language.isoen_USru_RU
dc.subjectmultiservice networksru_RU
dc.subjectclasses and subclasses of servicesru_RU
dc.subjectHurst exponentru_RU
dc.subjectincoming and outgoing trafficru_RU
dc.subjectself-similarityru_RU
dc.subjectR/S methodru_RU
dc.titleResearch of traffic characteristics in multiservice networksru_RU
dc.typeArticleru_RU
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Вантажиться...
Ескіз
Назва:
Black_Sea_Sci_2021_Bondar.pdf
Розмір:
5.13 MB
Формат:
Adobe Portable Document Format
Опис:
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Вантажиться...
Ескіз
Назва:
license.txt
Розмір:
1.71 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Зібрання