|
ИСТИНА |
Войти в систему Регистрация |
Интеллектуальная Система Тематического Исследования НАукометрических данных |
||
JobDigest – Detailed System Monitoring-Based Supercomputer Application Behavior Analysisстатья
Информация о цитировании статьи получена из
Scopus,
Web of Science
Дата последнего поиска статьи во внешних источниках: 23 января 2019 г.
- Авторы: Dmitry Nikitenko, Alexander Antonov, Pavel Shvets, Sergey Sobolev, Konstantin Stefanov, Vadim Voevodin, Vladimir Voevodin, Sergey Zhumatiy
- Сборник: Supercomputing. Third Russian Supercomputing Days, RuSCDays 2017, Moscow, Russia, September 25–26, 2017, Revised Selected Papers
- Редакторы: Воеводин Владимир Валентинович, Соболев Сергей Игоревич
- Серия: Communications in Computer and Information Science (CCIS)
- Том: 793
- Год издания: 2017
- Место издания: Springer Cham
- Первая страница: 516
- Последняя страница: 529
- DOI: 10.1007/978-3-319-71255-0_42
- Аннотация: The efficiency of computing resources utilization by user applications can be analyzed in various ways. The JobDigest approach based on system monitoring was developed in Moscow State University and is currently used in everyday practice of the largest Russian supercomputing center of Moscow State University. The approach features application behavior analysis for every job run on HPC system providing: the set of dynamic application characteristics - time series of values representing utilization of CPU, memory, network, storage, etc. with diagrams and heat maps; the integral characteristics representing average utilization rates; job tagging and categorization with means of informing system administrators and managers on suspicious or abnormal applications. The paper describes the approach principles and workflow, it also demonstrates JobDigest use cases and positioning of the proposed techniques in the set of tools and methods that are used in the MSU HPC Center to ensure its 24/7 efficient and productive functioning.
- Добавил в систему: Стефанов Константин Сергеевич