Мониторинг надежности пользовательских вычислительных устройств в режиме реального времени: систематическое отображение

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Данный исследовательский обзор сосредоточен на мониторинге надежности вычислительных систем в режиме реального времени на стороне пользователя. В условиях гетерогенной и распределенной вычислительной среды, где отсутствует централизованный контроль, исследуется использование моделей искусственного интеллекта для поддержки процессов принятия решений в мониторинге надежности системы. Методология исследования основана на систематическом отображении предыдущих исследований, опубликованных в научных базах данных IEEE и Scopus. Анализ проведен на основе 50 научных статей, опубликованных с 2013 по 2022 годы, показал растущий научный интерес к данной области. Основное применение исследуемого метода связано с сетевыми технологиями и здравоохранением. Данный метод нацелен на интеграцию сети медицинских сенсоров и управляющих данных с пользовательскими вычислительными устройствами. Однако этот метод также применяется в промышленном и экологическом мониторинге. Выводы исследования показывают, что мониторинг надежности пользовательских вычислительных устройств в режиме реального времени находится на начальной стадии развития. Он не имеет стандартов, но за последние два года приобрел значительное значение и интерес. Большинство исследуемых статей сосредоточены на методах сбора данных с использованием уведомлений для поддержки централизованных стратегий принятия решений. Однако, существует множество возможностей для дальнейшего развития данного метода, таких как совместимость данных, федеративные и совместные модели принятия решений, формализация экспериментального дизайна, суверенитет данных, систематизация базы данных для использования предыдущих знаний и опыта, стратегии калибровки и повторной корректировки для источников данных.

Об авторах

М. Х Диван

Корпорация Intel

Автор, ответственный за переписку.
Email: mario.jose.divan.koller@intel.com
25-я авеню, Кампус Джонс Фарм 3

Д. А Щемелинин

Корпорация Intel

Email: dshchmel@gmail.com
25-я авеню, Кампус Джонс Фарм 3

М. E Карранса

Корпорация Intel

Email: marcos.e.carranza@intel.com
25-я авеню, Кампус Джонс Фарм 3

Ц. И Мартинес-Спессот

Корпорация Intel

Email: cesar.martinez@intel.com
25-я авеню, Кампус Джонс Фарм 3

М. В Буйневич

Санкт-Петербургский университет государственной противопожарной службы МЧС России

Email: bmv1958@yandex.ru
Московский проспект 149

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