“Every year we have to plan to provision computing resources for our High-Energy Physics experiments based on their overall computing needs for performing their science. Unfortunately, the computing utilization patterns of these experiments typically exhibit peaks and valleys during the year, which makes cost-effective provisioning difficult. To achieve this cost effectiveness we need our computing facility to be able to add and remove resources to track the demand of the experiments as a function of time. Our collaboration with commercial clouds is an important component of our strategy for achieving this elasticity of resources, as we aim to demonstrate with Google Cloud for the CMS experiment via the HEPCloud facility at SC16.”
- Panagiotis Spentzouris, Head of the Scientific Computing Division at Fermilab
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