PoS - Proceedings of Science
Volume 351 - International Symposium on Grids & Clouds 2019 (ISGC2019) - Physics & Engineering Applications
R&D for the expansion of the Tokyo regional analysis center using Google Cloud Platform
M. Kaneda,* J. Tanaka, T. Mashimo, R. Sawada, T. Kishimoto, N. Matsui
*corresponding author
Full text: pdf
Published on: November 21, 2019
Abstract
The Tokyo regional analysis center is a computing center for the ATLAS experiment
at the Large Hadron Collider and one of the Worldwide LHC Computing Grid Tier 2 sites.
The batch system is managed by HTCondor.
For the future expansion of the center, R&D project using Google Cloud Platform (GCP), which is one of commercial cloud resources,
was launched.
The system is a hybrid system that worker nodes of HTCondor are deployed on Google Cloud Platform
while job manager nodes and file storages are placed on on-premises resources.
To manage worker nodes on GCP, GCP Condor Pool Manager (GCPM) has been developed.
The system with GCPM worked in the ATLAS production system.
In this paper, details of the R&D system are introduced and experiences on Google Cloud Platform are reported.
DOI: https://doi.org/10.22323/1.351.0017
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.