Cloud Video System Availability Assessment Using Markov and Semi-Markov Models

Скорочена інформація про документ
dc.contributor.authorIvanchenko, O.
dc.contributor.authorKharchenko, V.
dc.contributor.authorUdovyk, I.
dc.contributor.authorPonochovnyi, Y. L.
dc.contributor.authorПоночовний, Юрій Леонідович
dc.date.issued2022-02-22
dc.descriptionO. Ivanchenko, V. Kharchenko, I. Udovyk and Y. Ponochovnyi, "Cloud Video System Availability Assessment Using Markov and Semi-Markov Models," 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2022, pp. 578-583 doi: 10.1109/TCSET55632.2022.9767064
dc.description.abstractComparative analysis of Markovian and Semi- Markovian modelling for cloud video system availability is performed considering its architecture and dependability characteristics of various components, Initial data for modelling is based on review of research and operation data of cloud systems. The results of modelling provide decision making related to choice of technique of modelling and availability assessment. Besides, they contributes to ensuring the high availability of cloud systems and can be used by developers in order to address the issues into DevOps engineering area.
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/15440
dc.language.isoen
dc.publisherLviv-Slavske, Ukraine
dc.subjectcloud systems
dc.subjectavailability
dc.subjectMarkoy Modelling Processes
dc.subjectSemi-Markov Modelling Processes
dc.titleCloud Video System Availability Assessment Using Markov and Semi-Markov Models
dc.typeArticle
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
Cloud Video System Availability .pdf
Розмір:
3.07 MB
Формат:
Adobe Portable Document Format
Завантажити
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Ескіз недоступний
Назва:
license.txt
Розмір:
17.09 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Завантажити
Зібрання
Друковані видання