Analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures.
One of the main indicators of the effectiveness of cloud data centers are indicators based on the assessment of temporal characteristics. Violation of permissible time constraints, for example, the response time of cloud data centers, has a negative impact on the efficiency of solving user target ta...
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| Дата: | 2019 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | Ukrainian |
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Інститут проблем реєстрації інформації НАН України
2019
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| Онлайн доступ: | http://drsp.ipri.kiev.ua/article/view/179445 |
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| Назва журналу: | Data Recording, Storage & Processing |
Репозитарії
Data Recording, Storage & Processing| id |
drspiprikievua-article-179445 |
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ojs |
| institution |
Data Recording, Storage & Processing |
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OJS |
| language |
Ukrainian |
| topic |
хмарний дата-центр математична модель дисципліна надання обчислювальних ресурсів змішана дисципліна обслуговування абсолютний і відносний пріоритети часові характеристики час відгуку довільні закони розподілення cloud datа-center mathematical model discipline of providing computing resources mixed discipline of service absolute and relative priorities temporal characteristics response time arbitrary distribution laws |
| spellingShingle |
хмарний дата-центр математична модель дисципліна надання обчислювальних ресурсів змішана дисципліна обслуговування абсолютний і відносний пріоритети часові характеристики час відгуку довільні закони розподілення cloud datа-center mathematical model discipline of providing computing resources mixed discipline of service absolute and relative priorities temporal characteristics response time arbitrary distribution laws Matov, A. Ya. Analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures. |
| topic_facet |
хмарний дата-центр математична модель дисципліна надання обчислювальних ресурсів змішана дисципліна обслуговування абсолютний і відносний пріоритети часові характеристики час відгуку довільні закони розподілення cloud datа-center mathematical model discipline of providing computing resources mixed discipline of service absolute and relative priorities temporal characteristics response time arbitrary distribution laws |
| format |
Article |
| author |
Matov, A. Ya. |
| author_facet |
Matov, A. Ya. |
| author_sort |
Matov, A. Ya. |
| title |
Analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures. |
| title_short |
Analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures. |
| title_full |
Analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures. |
| title_fullStr |
Analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures. |
| title_full_unstemmed |
Analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures. |
| title_sort |
analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures. |
| title_alt |
Аналітичні моделі багатопріоритетних хмарних дата-ценрів зі змішаною дисципліною надання послуг з урахуванням особливостей функціонування та можливих відмов |
| description |
One of the main indicators of the effectiveness of cloud data centers are indicators based on the assessment of temporal characteristics. Violation of permissible time constraints, for example, the response time of cloud data centers, has a negative impact on the efficiency of solving user target tasks. This is of particular importance for real-time systems and, above all, for special information systems built using private clouds. Analytical models of cloud data centers are developed as queuing systems with a mixed discipline of resource allocation. The models take into account failures and various features of functioning and have arbitrary distribution laws for some stochastic processes. For each model, analytical expressions for computing time characteristics have been obtained. Such models for the cloud data centers are used for the first time. General description of the models is as follows. At the input of the cloud date - center, which implements a mixed service discipline (with relative and absolute priorities), receives N Poisson flows of requests for resources with corresponding N priorities. Duration of service for applications of various flows have their own arbitrary distribution laws. An application with relative priority, whose service is interrupted by applications with absolute priority, returns to the queue. Two disciplines for the renewal of service A and B are considered. Within the same priority, applications are serviced in the order of receipt.Cloud the date-center refuses to provide resources (for example, fails) under the Poisson law, and is restored under an arbitrary law. During the recovery period, elements of adaptation to failures are used: applications of some flows to the queue are accepted and accumulated, while others are not accepted (the discipline of the queue replenishment, I and II, respectively). The denial of service device can occur both during its free state and during the application processing. Two disciplines of resumption of service after restoration C and D have been considered. An interrupted application is processed from the point of its interruption. The combination of disciplines — resumption of service and queue replenishment — allows us to consider independent models of various types of systems that have the respective designation.Different features of functioning consist of various combinations of disciplines A, B, C, D, I and II, for which analytical formulas for calculating time characteristics of different types of systems have been obtained. |
| publisher |
Інститут проблем реєстрації інформації НАН України |
| publishDate |
2019 |
| url |
http://drsp.ipri.kiev.ua/article/view/179445 |
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2024-04-21T19:34:03Z |
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2024-04-21T19:34:03Z |
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drspiprikievua-article-1794452019-12-10T10:30:20Z Analytical models of multi-priority cloud data-centers with a mixed discipline of providing services taking into account the features of functioning and possible failures. Аналітичні моделі багатопріоритетних хмарних дата-ценрів зі змішаною дисципліною надання послуг з урахуванням особливостей функціонування та можливих відмов Matov, A. Ya. хмарний дата-центр математична модель дисципліна надання обчислювальних ресурсів змішана дисципліна обслуговування абсолютний і відносний пріоритети часові характеристики час відгуку довільні закони розподілення cloud datа-center mathematical model discipline of providing computing resources mixed discipline of service absolute and relative priorities temporal characteristics response time arbitrary distribution laws One of the main indicators of the effectiveness of cloud data centers are indicators based on the assessment of temporal characteristics. Violation of permissible time constraints, for example, the response time of cloud data centers, has a negative impact on the efficiency of solving user target tasks. This is of particular importance for real-time systems and, above all, for special information systems built using private clouds. Analytical models of cloud data centers are developed as queuing systems with a mixed discipline of resource allocation. The models take into account failures and various features of functioning and have arbitrary distribution laws for some stochastic processes. For each model, analytical expressions for computing time characteristics have been obtained. Such models for the cloud data centers are used for the first time. General description of the models is as follows. At the input of the cloud date - center, which implements a mixed service discipline (with relative and absolute priorities), receives N Poisson flows of requests for resources with corresponding N priorities. Duration of service for applications of various flows have their own arbitrary distribution laws. An application with relative priority, whose service is interrupted by applications with absolute priority, returns to the queue. Two disciplines for the renewal of service A and B are considered. Within the same priority, applications are serviced in the order of receipt.Cloud the date-center refuses to provide resources (for example, fails) under the Poisson law, and is restored under an arbitrary law. During the recovery period, elements of adaptation to failures are used: applications of some flows to the queue are accepted and accumulated, while others are not accepted (the discipline of the queue replenishment, I and II, respectively). The denial of service device can occur both during its free state and during the application processing. Two disciplines of resumption of service after restoration C and D have been considered. An interrupted application is processed from the point of its interruption. The combination of disciplines — resumption of service and queue replenishment — allows us to consider independent models of various types of systems that have the respective designation.Different features of functioning consist of various combinations of disciplines A, B, C, D, I and II, for which analytical formulas for calculating time characteristics of different types of systems have been obtained. Одними із основних показників ефективності хмарних дата-центрів є показники, що базуються на оцінці часових характеристик. Порушення припустимих часових обмежень, наприклад, часу відгуку хмарних дата-центрів, негативно позначається на ефективності рішення цільових задач користувачів. Це має особливе значення для систем реального масштабу часу і, в першу чергу, для спеціальних інформаційних систем, що побудовані з використанням приватних хмар. Розроблено аналітичні моделі хмарних дата-центрів як системи масового обслуговування зі змішаною дисципліною надання ресурсів. Моделі врахо-вують відмови й різні особливості функціонування та мають довільні закони розподілення для деяких вірогідних процесів. Для кожної моделі отримано аналітичні вирази часових характеристик. Такі моделі для хмарних дата-центрів використано вперше. Інститут проблем реєстрації інформації НАН України 2019-11-05 Article Article application/pdf http://drsp.ipri.kiev.ua/article/view/179445 10.35681/1560-9189.2019.1.1.179445 Data Recording, Storage & Processing; Vol. 21 No. 1 (2019); 32-45 Регистрация, хранение и обработка данных; Том 21 № 1 (2019); 32-45 Реєстрація, зберігання і обробка даних; Том 21 № 1 (2019); 32-45 1560-9189 uk http://drsp.ipri.kiev.ua/article/view/179445/182638 Авторське право (c) 2021 Реєстрація, зберігання і обробка даних |