Home > Research > Publications & Outputs > Consolidation of cloud computing in ATLAS

Associated organisational unit

Links

Text available via DOI:

View graph of relations

Consolidation of cloud computing in ATLAS

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
  • Ryan P. Taylor
  • Cristovao Jose Domingues Cordeiro
  • Domenico Giordano
  • John Hover
  • Tomas Kouba
  • Peter Allan Love
  • Andrew McNab
  • Jaroslava Schovancová
  • R. Sobie
Close
Article number052008
<mark>Journal publication date</mark>1/10/2017
<mark>Journal</mark>Journal of Physics: Conference Series
Issue number3
Volume898
Number of pages9
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Throughout the first half of LHC Run 2, ATLAS cloud computing has undergone a period of consolidation, characterized by building upon previously established systems, with the aim of reducing operational effort, improving robustness, and reaching higher scale. This paper describes the current state of ATLAS cloud computing. Cloud activities are converging on a common contextualization approach for virtual machines, and cloud resources are sharing monitoring and service discovery components. We describe the integration of Vacuum resources, streamlined usage of the Simulation at Point 1 cloud for offline processing, extreme scaling on Amazon compute resources, and procurement of commercial cloud capacity in Europe. Finally, building on the previously established monitoring infrastructure, we have deployed a real-time monitoring and alerting platform which coalesces data from multiple sources, provides flexible visualization via customizable dashboards, and issues alerts and carries out corrective actions in response to problems.

Bibliographic note

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.