Author:
Acosta-Silva C.,Casals J.,Delgado Peris A.,Flix Molina J.,Hernández J.M.,Morcillo Pérez C.,Pérez Dengra C.,Pérez-Calero Yzquierdo A.,Rodríguez Calonge F.J.,Sikora A.
Abstract
In 2029 the LHC will start the high-luminosity LHC program, with a boost in the integrated luminosity resulting in an unprecedented amount of ex- perimental and simulated data samples to be transferred, processed and stored in disk and tape systems across the worldwide LHC computing Grid. Content de- livery network solutions are being explored with the purposes of improving the performance of the compute tasks reading input data via the wide area network, and also to provide a mechanism for cost-effective deployment of lightweight storage systems supporting traditional or opportunistic compute resources. In this contribution we study the benefits of applying cache solutions for the CMS experiment, in particular the configuration and deployment of XCache serving data to two Spanish WLCG sites supporting CMS: the Tier-1 site at PIC and the Tier-2 site at CIEMAT. The deployment and configuration of the system and the developed monitoring tools will be shown, as well as data popularity studies in relation to the optimization of the cache configuration, the effects on CPU efficiency improvements for analysis tasks, and the cost benefits and impact of including this solution in the region.
Reference16 articles.
1. The large hadron collider:, https://home.cern/science/accelerators/large-hadron-collider (2023), accessed: 2023–07–31
2. Worldwide LHC Computing Grid, https://wlcg-public.web.cern.ch/ (2023), accessed: 2023–07–31
3. A Roadmap for HEP Software and Computing R&D for the 2020s
4. The Quest to solve the HL-LHC data access puzzle
5. Ciangottini D., Bagliesi G., Biasotto M., Boccali T., Cesini D., Donvito G., Falabella A., Mazzoni E., S. D., M. Tracolli, Integration of the Italian cache federation within the CMS computing model, in Proceedings of Science (PoS, 2020), Vol. ISGC2019, p. 014