Выдержка
Having information such as an estimation of the processing time or possibility of system outage (abnormal behaviour) helps to assist to monitor system performance and to predict its next state. The current cyber-infrastructure of the ATLAS Production System presents computing conditions in which contention for resources among high-priority data analyses happens routinely, that might lead to significant workload and data handling interruptions. The lack of the possibility to monitor and to predict the behaviour of the analysis process (its duration) and system's state itself provides motivation for a focus on design of the built-in situational awareness analytic tools.
| Язык оригинала | Английский |
|---|---|
| Номер статьи | 032051 |
| Журнал | Journal of Physics: Conference Series |
| Том | 1085 |
| Номер выпуска | 3 |
| DOI | |
| Состояние | Опубликовано - 18 окт 2018 |
| Опубликовано для внешнего пользования | Да |
| Событие | 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2017 - Seattle, Соединенные Штаты Америки Продолжительность: 21 авг 2017 → 25 авг 2017 |
Отпечаток
ASJC Scopus subject areas
- Physics and Astronomy(all)
Цитировать
Predictive analytics tools to adjust and monitor performance metrics for the ATLAS Production System. / Barreiro Megino, F. H.; Borodin, M.; Golubkov, D.; Grigorieva, M.; Gubin, M.; Klimentov, A.; Korchuganova, T.; Maeno, T.; Padolski, S.; Titov, M.
В: Journal of Physics: Conference Series, Том 1085, № 3, 032051, 18.10.2018.Результат исследований: Материалы для журнала
}
TY - JOUR
T1 - Predictive analytics tools to adjust and monitor performance metrics for the ATLAS Production System
AU - Barreiro Megino, F. H.
AU - Borodin, M.
AU - Golubkov, D.
AU - Grigorieva, M.
AU - Gubin, M.
AU - Klimentov, A.
AU - Korchuganova, T.
AU - Maeno, T.
AU - Padolski, S.
AU - Titov, M.
PY - 2018/10/18
Y1 - 2018/10/18
N2 - Having information such as an estimation of the processing time or possibility of system outage (abnormal behaviour) helps to assist to monitor system performance and to predict its next state. The current cyber-infrastructure of the ATLAS Production System presents computing conditions in which contention for resources among high-priority data analyses happens routinely, that might lead to significant workload and data handling interruptions. The lack of the possibility to monitor and to predict the behaviour of the analysis process (its duration) and system's state itself provides motivation for a focus on design of the built-in situational awareness analytic tools.
AB - Having information such as an estimation of the processing time or possibility of system outage (abnormal behaviour) helps to assist to monitor system performance and to predict its next state. The current cyber-infrastructure of the ATLAS Production System presents computing conditions in which contention for resources among high-priority data analyses happens routinely, that might lead to significant workload and data handling interruptions. The lack of the possibility to monitor and to predict the behaviour of the analysis process (its duration) and system's state itself provides motivation for a focus on design of the built-in situational awareness analytic tools.
UR - http://www.scopus.com/inward/record.url?scp=85055645595&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055645595&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1085/3/032051
DO - 10.1088/1742-6596/1085/3/032051
M3 - Conference article
AN - SCOPUS:85055645595
VL - 1085
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 3
M1 - 032051
ER -