Cloud Video System Availability Assessment Using Markov and Semi-Markov Models
| dc.contributor.author | Ivanchenko, O. | |
| dc.contributor.author | Kharchenko, V. | |
| dc.contributor.author | Udovyk, I. | |
| dc.contributor.author | Ponochovnyi, Y. L. | |
| dc.contributor.author | Поночовний, Юрій Леонідович | |
| dc.date.accessioned | 2023-11-23T09:18:59Z | |
| dc.date.available | 2023-11-23T09:18:59Z | |
| dc.date.issued | 2022-02-22 | |
| dc.description | O. 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.abstract | Comparative 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.uri | https://dspace.pdau.edu.ua/handle/123456789/15440 | |
| dc.language.iso | en | |
| dc.publisher | Lviv-Slavske, Ukraine | |
| dc.subject | cloud systems | |
| dc.subject | availability | |
| dc.subject | Markoy Modelling Processes | |
| dc.subject | Semi-Markov Modelling Processes | |
| dc.title | Cloud Video System Availability Assessment Using Markov and Semi-Markov Models | |
| dc.type | Article |