Research output: Contribution to journal › Article › peer-review
Consolidating WLCG topology and configuration in the Computing Resource Information Catalogue. / Alandes, Maria; Andreeva, Julia; Anisenkov, Alexey et al.
In: Journal of Physics: Conference Series, Vol. 898, No. 9, 092042, 23.11.2017.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Consolidating WLCG topology and configuration in the Computing Resource Information Catalogue
AU - Alandes, Maria
AU - Andreeva, Julia
AU - Anisenkov, Alexey
AU - Bagliesi, Giuseppe
AU - Belforte, Stephano
AU - Campana, Simone
AU - Dimou, Maria
AU - Flix, Jose
AU - Forti, Alessandra
AU - Di Girolamo, A.
AU - Karavakis, Edward
AU - Lammel, Stephan
AU - Litmaath, Maarten
AU - Sciaba, Andrea
AU - Valassi, Andrea
PY - 2017/11/23
Y1 - 2017/11/23
N2 - The Worldwide LHC Computing Grid infrastructure links about 200 participating computing centres affiliated with several partner projects. It is built by integrating heterogeneous computer and storage resources in diverse data centres all over the world and provides CPU and storage capacity to the LHC experiments to perform data processing and physics analysis. In order to be used by the experiments, these distributed resources should be well described, which implies easy service discovery and detailed description of service configuration. Currently this information is scattered over multiple generic information sources like GOCDB, OIM, BDII and experiment-specific information systems. Such a model does not allow to validate topology and configuration information easily. Moreover, information in various sources is not always consistent. Finally, the evolution of computing technologies introduces new challenges. Experiments are more and more relying on opportunistic resources, which by their nature are more dynamic and should also be well described in the WLCG information system. This contribution describes the new WLCG configuration service CRIC (Computing Resource Information Catalogue) which collects information from various information providers, performs validation and provides a consistent set of UIs and APIs to the LHC VOs for service discovery and usage configuration. The main requirements for CRIC are simplicity, agility and robustness. CRIC should be able to be quickly adapted to new types of computing resources, new information sources, and allow for new data structures to be implemented easily following the evolution of the computing models and operations of the experiments.
AB - The Worldwide LHC Computing Grid infrastructure links about 200 participating computing centres affiliated with several partner projects. It is built by integrating heterogeneous computer and storage resources in diverse data centres all over the world and provides CPU and storage capacity to the LHC experiments to perform data processing and physics analysis. In order to be used by the experiments, these distributed resources should be well described, which implies easy service discovery and detailed description of service configuration. Currently this information is scattered over multiple generic information sources like GOCDB, OIM, BDII and experiment-specific information systems. Such a model does not allow to validate topology and configuration information easily. Moreover, information in various sources is not always consistent. Finally, the evolution of computing technologies introduces new challenges. Experiments are more and more relying on opportunistic resources, which by their nature are more dynamic and should also be well described in the WLCG information system. This contribution describes the new WLCG configuration service CRIC (Computing Resource Information Catalogue) which collects information from various information providers, performs validation and provides a consistent set of UIs and APIs to the LHC VOs for service discovery and usage configuration. The main requirements for CRIC are simplicity, agility and robustness. CRIC should be able to be quickly adapted to new types of computing resources, new information sources, and allow for new data structures to be implemented easily following the evolution of the computing models and operations of the experiments.
UR - http://www.scopus.com/inward/record.url?scp=85039447327&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/898/9/092042
DO - 10.1088/1742-6596/898/9/092042
M3 - Article
AN - SCOPUS:85039447327
VL - 898
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 9
M1 - 092042
ER -
ID: 9643598