Using Puppet to contextualize computing resources for ATLAS analysis on Google Compute Engine

20th International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Öhman, Henrik^1 ; Panitkin, Sergey^2 ; Hendrix, Valerie^3

Uppsala University, Sweden^1

Brookhaven National Laboratory, United States^2

Lawrence Berkeley National Lab, United States^3

关键词: Cloud platforms;    Cloud technologies;    Computing resource;    Configuration and dynamics;    Contextualization;    Contextualize;    On-demand computing;    Ready to use;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/513/3/032073/pdf
DOI  :  10.1088/1742-6596/513/3/032073

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

With the advent of commercial as well as institutional and national clouds, new opportunities for on-demand computing resources for the HEP community become available. The new cloud technologies also come with new challenges, and one such is the contextualization of computing resources with regard to requirements of the user and his experiment. In particular on Google's new cloud platform Google Compute Engine (GCE) upload of user's virtual machine images is not possible. This precludes application of ready to use technologies like CernVM and forces users to build and contextualize their own VM images from scratch. We investigate the use of Puppet to facilitate contextualization of cloud resources on GCE, with particular regard to ease of configuration and dynamic resource scaling.