Abstract
The Worldwide LHC Computing Grid (WLCG) is an innovative distributed environment which is deployed through the use of grid computing technologiesin order to provide computing and storage resources to the LHC experimentsfor data processing and physics analysis. Following increasing demands of LHC computing needs toward high luminosity era, the experiments are engagdin an ambitious program to extend the capability of WLCG distributed environment, for instance including opportunistically used resources such as High-Performance Computers (HPCs), cloud platforms and volunteer computer. norder to be effectively used by the LHC experiments, all these diverse distributed resources should be described in detail. This implies easy service discovery of shared physical resources, detailed description of service configurations and experiment-specific data structures is needed. In this contribution, we present a high-level information component of a distributed computing environment, the Computing Resource Information Catalogue (CRIC) which aims to facilitate distributed computing operations for the LHC experiments and consolidate WLCG topology information. In addition, CRIC performs data validation and provides coherent view and topology descriptinto the LHC VOs for service discovery and configuration. CRIC represents teevolution of ATLAS Grid Information System (AGIS) into the common experiment independent high-level information framework. CRIC’s mission is to serve not just ATLAS Collaboration needs for the description of the distributed environment but any other virtual organization relying on large scale distributed infrastructure as well as the WLCG on the global scope. The contribution describes CRIC architecture, implementation of data model,collectors, user interfaces, advanced authentication and access control components of the system.
Highlights
The Worldwide LHC Computing Grid (WLCG) [1] is a global collaboration of the computing centers, in more than 40 countries, with the main goal to provide a resource to store, distribute, process and analyze data generated by the Large Hadron Collider (LHC)
The computing system for LHC was designed by integrating resources of the computing centers of the scientific institutions participating in the LHC experiments in a single LHC computing service
Computing Resource Information Catalogue as a high-level information system is focused to describe the topology of the WLCG infrastructure as well as experiment-specific configuration required to exploit this infrastructure according to the experiments computing models
Summary
The Worldwide LHC Computing Grid (WLCG) [1] is a global collaboration of the computing centers, in more than 40 countries, with the main goal to provide a resource to store, distribute, process and analyze data generated by the Large Hadron Collider (LHC). The computing system for LHC was designed by integrating resources of the computing centers of the scientific institutions participating in the LHC experiments in a single LHC computing service This design was based on the concept of the computing grid, currently combining resources of more than 170 computing centers in more than 40 countries. In contrast with the first years of LHC data taking, when WLCG hardware resources were more homogeneous, the infrastructure should be able to integrate very heterogeneous resources including HPC, specialized clusters, commercial and non-commercial clouds. It implies usage of different types of computing platforms like CPU, GPU and FPGAs. More or less static computing infrastructure is moving towards dynamic one, where elasticity comes in place of static capacity. Description of the dynamic and heterogeneous distributed computing environment is a complex task
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
