This contribution describes the CRIC (Computing Resource Information Catalog) framework which is designed to describe the topology of the Experiments computing models, providing unified description of resources and services used by Experiments applications
The Worldwide LHC Computing Grid infrastructure links about 200 participating computing centers affiliated with several partner projects....
[ElastiCluster][1] is a command-line application (and a Python API) to deploy, configure, and resize various types of computational clusters on Infrastructure-as-a-Service clouds. Currently supported is the deployment of SLURM/GridEngine/TORQUE batch clusters, Spark/Hadoop systems (with Hive and HDFS), and various types of distributed filesystems (GlusterFS, OrangeFS, Ceph) on OpenStack,...
We'll give an update on the status of our cloud, focusing in the features recently added with special attention over containers.
One obstacle to effective and efficient exploitation of public cloud resources is the work required to accomodate their different APIs. Observing that many public clouds offer varying degrees of support for container orchestration using Kubernetes, we present the results of practical experiments involving several large public cloud providers.
We also present a brief update on container...
The IT Storage group at CERN develops the software responsible for archiving to tape the custodial copy of the physics data generated by the LHC experiments. This software is code named CTA (the CERN Tape Archive).
It needs to be seamlessly integrated with EOS, which has become the de facto disk storage system provided by the IT Storage group for physics data.
CTA and EOS integration...
IHEP distributed computing was built based on DIRAC in 2012 and started operations in 2014 to meet peek needs of the BESIII experiment. As more new experiments (JUNO, LHAASO, CEPC, etc) with challenging data volume are coming into operations or are planned in IHEP, the system has been progressively developed into a common platform to support multi experiments in one instance. In this platform,...
The LHC Run4 phase, also known as HL-LHC, is scheduled to start in mid 2026 and it will impose formidable challenges to the capability of processing and storing data according to the planned data acquisition rates. A tenfold increase in recorded event rates for ATLAS and CMS and a threefold increase in event pile-up will require an amount of computational power and storage far in excess of...
