Speaker
Description
Sciences such as High Energy Physics, Computational Biology, and other communities use distributed computing facilities to find the solutions to problems that require the execution of computationally intensive algorithms. The Open Science Grid (OSG) enables access to over 100 individual compute clusters spanning the globe for scientists from these disciplines. These sites, primarily at universities and national laboratories, range in size from a few hundred to tens of thousands of CPU cores.
Thanks to the GlideinWMS and HTCondor software projects, which grew out of the High Throughput Computing community, resources belonging to those universities and data centers join a single homogeneous virtual pool that can be transparently used by scientists. Configuring the access to hundreds of different sites is a challenging task that has been simplified thanks to the development of automation tools. The CMS experiment, which relies heavily on OSG for distributed computing, is also preparing to use these automation tools to improve the configuration and management of compute resources across USCMS sites.
This contribution describes those tools, and the benefit they bring to the operations team in charge of configuring resource allocations in the OSG and CMS.