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Operational Analytics Studies for ATLAS Distributed Computing: Data Popularity Forecast and Utilization of the WLCG Centers EPJстатья
- Авторы: Grigoryeva Maria, Klimentov Alexei, Popova Nina, Mikhail Shubin, Schulz Markus
- Сборник: EPJ Web of Conf
- Том: 295
- Год издания: 2024
- Первая страница: 04033
- Номер статьи: 04033
- DOI: 10.1051/epjconf/202429504033
- Аннотация: PanDA queues utilization metric was proposed based on estimating jobs status durationat the resources– Advanced jobs calculation methods were used allowing to get more precise numberof jobs at PanDA queues within 1-hour intervals– Next task of this research is the evaluation of the developed ranking method■ ATLAS Data popularity forecast models demonstrated:– 85-95% accuracy for different dataset groups [logarithmically transformed]– LSTM and Facebook Prophet can’t beat the Naïve Forecast– Such models can be utilized for the prediction of overall trends, but not exactvalues
- Добавил в систему: Попова Нина Николаевна