Evaluation and reliability prediction for highly reliable software and hardware systems: The case of data processing centers
Methods for estimating and predicting the reliability levels of highly reliable systems are analyzed, for example, data centers that include a large number of servers. The frequency of interleaved and software failures on servers is estimated. Methods for monitoring and forecasting server failures a...
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| Format: | Article |
| Language: | Russian |
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MIREA - Russian Technological University
2020-03-01
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| Series: | Российский технологический журнал |
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| Online Access: | https://www.rtj-mirea.ru/jour/article/view/195 |
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| _version_ | 1849394291631194112 |
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| author | G. V. Petushkov |
| author_facet | G. V. Petushkov |
| author_sort | G. V. Petushkov |
| collection | DOAJ |
| description | Methods for estimating and predicting the reliability levels of highly reliable systems are analyzed, for example, data centers that include a large number of servers. The frequency of interleaved and software failures on servers is estimated. Methods for monitoring and forecasting server failures are proposed, which exclude simultaneous failures of many devices. |
| format | Article |
| id | doaj-art-9bf05b57941d41579fc0b43dcc94664d |
| institution | Kabale University |
| issn | 2782-3210 2500-316X |
| language | Russian |
| publishDate | 2020-03-01 |
| publisher | MIREA - Russian Technological University |
| record_format | Article |
| series | Российский технологический журнал |
| spelling | doaj-art-9bf05b57941d41579fc0b43dcc94664d2025-08-20T03:40:01ZrusMIREA - Russian Technological UniversityРоссийский технологический журнал2782-32102500-316X2020-03-0181212610.32362/2500-316X-2020-8-1-21-26186Evaluation and reliability prediction for highly reliable software and hardware systems: The case of data processing centersG. V. Petushkov0MIREA - Russian Technological UniversityMethods for estimating and predicting the reliability levels of highly reliable systems are analyzed, for example, data centers that include a large number of servers. The frequency of interleaved and software failures on servers is estimated. Methods for monitoring and forecasting server failures are proposed, which exclude simultaneous failures of many devices.https://www.rtj-mirea.ru/jour/article/view/195highly reliable software and hardware systemsmultiprocessor serversreliability assessment of hardware and softwarereliability prediction |
| spellingShingle | G. V. Petushkov Evaluation and reliability prediction for highly reliable software and hardware systems: The case of data processing centers Российский технологический журнал highly reliable software and hardware systems multiprocessor servers reliability assessment of hardware and software reliability prediction |
| title | Evaluation and reliability prediction for highly reliable software and hardware systems: The case of data processing centers |
| title_full | Evaluation and reliability prediction for highly reliable software and hardware systems: The case of data processing centers |
| title_fullStr | Evaluation and reliability prediction for highly reliable software and hardware systems: The case of data processing centers |
| title_full_unstemmed | Evaluation and reliability prediction for highly reliable software and hardware systems: The case of data processing centers |
| title_short | Evaluation and reliability prediction for highly reliable software and hardware systems: The case of data processing centers |
| title_sort | evaluation and reliability prediction for highly reliable software and hardware systems the case of data processing centers |
| topic | highly reliable software and hardware systems multiprocessor servers reliability assessment of hardware and software reliability prediction |
| url | https://www.rtj-mirea.ru/jour/article/view/195 |
| work_keys_str_mv | AT gvpetushkov evaluationandreliabilitypredictionforhighlyreliablesoftwareandhardwaresystemsthecaseofdataprocessingcenters |