Speaker
Daniele Bonacorsi
(University of Bologna)
Description
The CMS experiment at the LHC accelerator at CERN relies on its computing infrastructure to stay at the frontier of High Energy Physics, searching for new phenomena and make discoveries. Even though computing plays a significant role in physics analysis we rarely use its data to predict the system behavior itself. A basic information about computing resources, user activities and site utilization can be really useful for improving the throughput of the system and its management. In this paper, we discuss a first CMS analysis of dataset popularity based on CMS meta-data itself which can be used as a model for dynamic data placement and provide the foundation of data-driven approach for CMS computing infrastructure.
Authors
Collaboration CMS
(CERN)
Daniele Bonacorsi
(University of Bologna)
