Exploiting INFN-Cloud to implement a Cloud solution to support the CYGNO computing model
September 28, 2022
The aim of the CYGNO project is to demonstrate the capability of a high resolution gaseous TPC based on sCMOS (scientific CMOS) optical readout for present and future directional Dark Matter searches at low WIMP masses (1-10 GeV) down to and beyond the Neutrino Floor.
CYGNO is a medium-size astroparticle physics experiment that requires a relatively small amount of computing resources and for this reason can be subjected to a fragmentation and low utilization rate. This is a typical use case that could exploit and benefit from all the features of a Cloud infrastructure.
In the context of the INFN Cloud project, a container-based system has been developed in order to provide a seamless integration between storage and computing system. The latter is based on JupyterHub to provide a multi user server to access the experiment environment (ROOT, GEANT, GARFIELD++, libraries, etc). The token based authentication and authorization system allows a seamless integration with S3 Cloud Storage where a remote DAQ system continuously uploads acquired files. The result is a "Software as a Service" (SaaS) layer for data analysis and simulation with common tools of our community.
The paper will detail the overall project and preliminary user experiences.
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