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The new approach to monitor the workflow management system ProdSys2/PanDA of the ATLAS experiment at LHC by using methods and techniques of visual analyticsстатья
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из перечня ВАК
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 31 июля 2019 г.
- Авторы: Galkin T., Grigoryeva M., Klimentov A., Korchuganova T., Milman I., Padolski S., Pilyugin V., Popov D., Titov M.
- Журнал: Научная визуализация
- Том: 10
- Номер: 1
- Год издания: 2018
- Издательство: НИЯУ МИФИ
- Местоположение издательства: Москва
- Первая страница: 77
- Последняя страница: 88
- DOI: 10.26583/sv.10.1.06
- Аннотация: The paper presents the pilot project "Tools and methods of visual analytics as part of the workload management system ProdSys2/PanDA of the ATLAS experiment at the Large Hadron Collider." The project is aimed at expanding the functionality of the existing ATLAS monitoring system using a visual analytics approach to analyze large volumes of multidimensional data of computing tasks and jobs. The functioning of ATLAS workflow management system (WMS) is associated with the processing of multi-petabytes and exabytes data volumes. In this case, the new challenges arise that require the use of multi-level interactive visualization tools to analyze the correlations between individual datasets and their representations. The article contains the description of the proposed approaches to visual analysis of multidimensional data, as well as the definition of areas of use of visual analytics applications for data processing in the ATLAS experiment. The tasks for approbation of the recommended methods using the example of the analysis of statistical data of ATLAS WMS are determined. The final part of the article is devoted to the organizational component of the pilot project.
- Добавил в систему: Титов Михаил Анатольевич