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On Data Stream Processing in IoT Applicationsстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 29 января 2019 г.
- Авторы: Dmitry Namiot, Manfred Sneps-Sneppe, Romass Pauliks
- Сборник: 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, St. Petersburg, Russia, August 27–29, 2018, Proceedings
- Серия: Lecture Notes in Computer Science
- Том: 11118
- Год издания: 2018
- Место издания: Springer
- Первая страница: 41
- Последняя страница: 51
- DOI: 10.1007/978-3-030-01168-0_5
- Аннотация: This article is devoted to the issues of streaming data processing in the Internet of Things applications. Stream processing is a natural fit for the Internet of Things applications. Most of the data models on the Internet Things are exactly the data streams. Accordingly, most applications (business applications) are oriented to processing real-time data streams (e.g., search for anomalies, provide billing features, etc.). The paper considers the architecture of data processing systems, classifies stream processing patterns. Much attention is paid to time management in stream processing systems. The review is conducted from the standpoint of the contents of the master’s course on stream data processing in the Internet of Things and Industrial Internet of Things applications. Also, the paper considers the specific application models and streaming data architecture for the Internet of Things applications as well basic data analysis algorithms that are used in such systems.
- Добавил в систему: Намиот Дмитрий Евгеньевич