Abstract
The computing model of the ATLAS experiment was designed around the concept of grid computing and, since the start of data taking, this model has proven very successful. However, new cloud computing technologies bring attractive features to improve the operations and elasticity of scientific distributed computing. ATLAS sees grid and cloud computing as complementary technologies that will coexist at different levels of resource abstraction, and two years ago created an R&D working group to investigate the different integration scenarios. The ATLAS Cloud Computing R&D has been able to demonstrate the feasibility of offloading work from grid to cloud sites and, as of today, is able to integrate transparently various cloud resources into the PanDA workload management system. The ATLAS Cloud Computing R&D is operating various PanDA queues on private and public resources and has provided several hundred thousand CPU days to the experiment. As a result, the ATLAS Cloud Computing R&D group has gained a significant insight into the cloud computing landscape and has identified points that still need to be addressed in order to fully utilize this technology.This contribution will explain the cloud integration models that are being evaluated and will discuss ATLAS' learning during the collaboration with leading commercial and academic cloud providers.
Highlights
The ATLAS experiment [1] at the Large Hadron Collider (LHC) is designed to explore the fundamental properties of matter for the decade
ATLAS sees grid and cloud computing as complementary technologies that will coexist at different levels of resource abstraction, and two years ago created an R&D working group to investigate the different integration scenarios
Cloud platform on the ATLAS High Level Trigger (HLT) Farm With the LHC collider at CERN currently going through the period of Long Shutdown 1 (LS1) there is a valuable opportunity to use the computing resources of the large trigger farms of the experiments for other data processing activities
Summary
The ATLAS experiment [1] at the Large Hadron Collider (LHC) is designed to explore the fundamental properties of matter for the decade. 3. Cloud platform on the ATLAS HLT Farm With the LHC collider at CERN currently going through the period of Long Shutdown 1 (LS1) there is a valuable opportunity to use the computing resources of the large trigger farms of the experiments for other data processing activities.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
