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On-the-Fly Calculation of Performance Metrics with Adaptive Time Resolution for HPC Compute Jobsстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 20 мая 2019 г.
- Авторы: Stefanov Konstantin, Voevodin Vadim
- Сборник: Supercomputing. 4th Russian Supercomputing Days, RuSCDays 2018, Moscow, Russia, September 24–25, 2018, Revised Selected Papers
- Редакторы: Воеводин Владимир Валентинович, Соболев Сергей Игоревич
- Серия: Communications in Computer and Information Science (CCIS)
- Том: 965
- Год издания: 2019
- Место издания: Springer, Cham, Springer Nature Switzerland AG
- Первая страница: 609
- Последняя страница: 619
- DOI: 10.1007/978-3-030-05807-4_52
- Аннотация: Performance monitoring is a method to debug performance issues in different types of applications. It uses various performance metrics obtained from the servers the application runs on, and also may use metrics which are produced by the application itself. The common approach to building performance monitoring systems is to store all the data to a database and then to retrieve the data which correspond to the specific job and perform an analysis using that portion of the data. This approach works well when the data stream is not very large. For large performance monitoring data stream this incurs much IO and imposes high requirements on storage systems which process the data.
- Добавил в систему: Воеводин Вадим Владимирович