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Kubernetes Container Orchestration as a Framework for Flexible and Effective Scientific Data Analysisстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 15 февраля 2024 г.
- Авторы: Tesliuk Anton, Bobkov Sergey, Ilyin Viacheslav, Novikov Alexander, Poyda Alexey, Velikhov Vasily
- Сборник: IEEE Xplore 2020, Proceedings - 2019 Ivannikov Ispras Open Conference (ISPRAS)
- Год издания: 2019
- Место издания: IEEE
- Первая страница: 67
- Последняя страница: 71
- DOI: 10.1109/ispras47671.2019.00016
- Аннотация: In this paper we present the design and deployment details for Single Particle Imaging (SPI) experiments data analysis pipeline in Kubernetes infrastructure. We have analyzed various software usage patterns for different payloads. Components of the pipeline software include traditional HPC (MPI-based) applications, applications which require GPU computations, GUI-based software and the software which can be parallelized naturally by dividing the data into several independent parts (Data parallelism). For every payload type individual deployment approach was proposed.
- Добавил в систему: Ильин Вячеслав Анатольевич