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Consolidation of cloud computing in ATLAS

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Consolidation of cloud computing in ATLAS. / Taylor, Ryan P.; Cordeiro, Cristovao Jose Domingues; Giordano, Domenico et al.
In: Journal of Physics: Conference Series, Vol. 898, No. 3, 052008, 01.10.2017.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Taylor, RP, Cordeiro, CJD, Giordano, D, Hover, J, Kouba, T, Love, PA, McNab, A, Schovancová, J & Sobie, R 2017, 'Consolidation of cloud computing in ATLAS', Journal of Physics: Conference Series, vol. 898, no. 3, 052008. https://doi.org/10.1088/1742-6596/898/5/052008

APA

Taylor, R. P., Cordeiro, C. J. D., Giordano, D., Hover, J., Kouba, T., Love, P. A., McNab, A., Schovancová, J., & Sobie, R. (2017). Consolidation of cloud computing in ATLAS. Journal of Physics: Conference Series, 898(3), Article 052008. https://doi.org/10.1088/1742-6596/898/5/052008

Vancouver

Taylor RP, Cordeiro CJD, Giordano D, Hover J, Kouba T, Love PA et al. Consolidation of cloud computing in ATLAS. Journal of Physics: Conference Series. 2017 Oct 1;898(3):052008. doi: 10.1088/1742-6596/898/5/052008

Author

Taylor, Ryan P. ; Cordeiro, Cristovao Jose Domingues ; Giordano, Domenico et al. / Consolidation of cloud computing in ATLAS. In: Journal of Physics: Conference Series. 2017 ; Vol. 898, No. 3.

Bibtex

@article{7f56f6d7a168419cbbea09c7d979d216,
title = "Consolidation of cloud computing in ATLAS",
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.",
author = "Taylor, {Ryan P.} and Cordeiro, {Cristovao Jose Domingues} and Domenico Giordano and John Hover and Tomas Kouba and Love, {Peter Allan} and Andrew McNab and Jaroslava Schovancov{\'a} and R. Sobie",
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.",
year = "2017",
month = oct,
day = "1",
doi = "10.1088/1742-6596/898/5/052008",
language = "English",
volume = "898",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "3",

}

RIS

TY - JOUR

T1 - Consolidation of cloud computing in ATLAS

AU - Taylor, Ryan P.

AU - Cordeiro, Cristovao Jose Domingues

AU - Giordano, Domenico

AU - Hover, John

AU - Kouba, Tomas

AU - Love, Peter Allan

AU - McNab, Andrew

AU - Schovancová, Jaroslava

AU - Sobie, R.

N1 - 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.

PY - 2017/10/1

Y1 - 2017/10/1

N2 - 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.

AB - 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.

U2 - 10.1088/1742-6596/898/5/052008

DO - 10.1088/1742-6596/898/5/052008

M3 - Journal article

VL - 898

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 3

M1 - 052008

ER -