Abstract
The connection of diverse and sometimes non-Grid enabled resource types to the CMS Global Pool, which is based on HTCondor and glideinWMS, has been a major goal of CMS. These resources range in type from a high-availability, low latency facility at CERN for urgent calibration studies, called the CAF, to a local user facility at the Fermilab LPC, allocation-based computing resources at NERSC and SDSC, opportunistic resources provided through the Open Science Grid, commercial clouds, and others, as well as access to opportunistic cycles on the CMS High Level Trigger farm. In addition, we have provided the capability to give priority to local users of beyond WLCG pledged resources at CMS sites. Many of the solutions employed to bring these diverse resource types into the Global Pool have common elements, while some are very specific to a particular project. This paper details some of the strategies and solutions used to access these resources through the Global Pool in a seamless manner.
Highlights
CMS [1], one of the four main experiments at the Large Hadron Collider (LHC) [2], a proton-proton and heavy ion accelerator at CERN in Geneva, Switzerland, was designed from the beginning as a global experiment with a distributed computing infrastructure, as described in [3]
CMS transitioned to a pilot-based submission system based on glideinWMS [5] and HTCondor [6] during Run 1 of the LHC, completing the transition by late 2013 [7]
In order to restrict the usage of the CERN Analysis Facility (CAF) to priority users only, we developed a configurable mechanism to implement this functionality, which is described
Summary
Connecting Restricted, High-Availability, or LowLatency Resources to a Seamless Global Pool for CMS. - Stability and scalability of the CMS Global Pool: Pushing HTCondor and glideinWMS to new limits J Balcas, B Bockelman, D Hufnagel et al. - Pushing HTCondor and glideinWMS to 200K+ Jobs in a Global Pool for CMS before Run 2 J Balcas, S Belforte, B Bockelman et al. - Effective HTCondor-based monitoring system for CMS J Balcas, B P Bockelman, J M Da Silva et al. CHEP IOP Conf. J Balcas, B Bockelman, D Hufnagel, K Hurtado Anampa, B Jayatilaka, F Khan, K Larson, J Letts, M Mascheroni, A Mohapatra, J Marra Da Silva, D Mason, A Perez-Calero Yzquierdo, S Piperov, A Tiradani, and V Verguilov, on behalf of the CMS Collaboration
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