  The Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC)
is one of the largest data producers in the scientific world, with standard
data products centrally produced, and then used by often competing teams within
the collaboration. This work is focused on how a local institution, University
of California San Diego (UCSD), partnered with the Open Science Grid (OSG) to
use Azure cloud resources to augment its available computing to accelerate time
to results for multiple analyses pursued by a small group of collaborators. The
OSG is a federated infrastructure allowing many independent resource providers
to serve many independent user communities in a transparent manner.
Historically the resources would come from various research institutions,
spanning small universities to large HPC centers, based on either community
needs or grant allocations, so adding commercial clouds as resource providers
is a natural evolution. The OSG technology allows for easy integration of cloud
resources, but the data-intensive nature of CMS compute jobs required the
deployment of additional data caching infrastructure to ensure high efficiency.
