A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system

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

物理学;计算机科学

Toor, S.^1 ; Osmani, L.^2 ; Eerola, P.^1 ; Kraemer, O.^1 ; Lindén, T.^1 ; Tarkoma, S.^2 ; White, J.^3

Helsinki Institute of Physics (HIP), CMS Program, Helsinki, Finland^1

Computer Science Department, University of Helsinki, Helsinki, Finland^2

Helsinki Institute of Physics (HIP), Technology Program, Helsinki, Finland^3

关键词: Cloud technologies;    Continuous exploration;    Data management solution;    Gluster file systems;    High availability;    Managing resources;    Research environment;    Scalable infrastructure;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/513/6/062047/pdf
DOI  :  10.1088/1742-6596/513/6/062047

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The challenge of providing a resilient and scalable computational and data management solution for massive scale research environments requires continuous exploration of new technologies and techniques. In this project the aim has been to design a scalable and resilient infrastructure for CERN HEP data analysis. The infrastructure is based on OpenStack components for structuring a private Cloud with the Gluster File System. We integrate the state-of-the-art Cloud technologies with the traditional Grid middleware infrastructure. Our test results show that the adopted approach provides a scalable and resilient solution for managing resources without compromising on performance and high availability.