Rucio _ The next generation of large scale distributed system for ATLAS Data Management

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

物理学;计算机科学

Garonne, V.^1 ; Vigne, R.^1 ; Stewart, G.^1 ; Barisits, M.^1 ; Eermann, T.B.^1 ; Lassnig, M.^1 ; Serfon, C.^1 ; Goossens, L.^1 ; Nairz, A.^1

CERN, Geneva, Switzerland^1

关键词: Conceptual data modeling;    Distributed data managements;    Large-scale data management;    Large-scale distributed system;    Operational Overheads;    Software component;    System scalability;    User requirements;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/513/4/042021/pdf
DOI  :  10.1088/1742-6596/513/4/042021

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Rucio is the next-generation Distributed Data Management (DDM) system benefiting from recent advances in cloud and «Big Data» computing to address HEP experiments scaling requirements. Rucio is an evolution of the ATLAS DDM system Don Quijote 2 (DQ2), which has demonstrated very large scale data management capabilities with more than 140 petabytes spread worldwide across 130 sites, and accesses from 1,000 active users. However, DQ2 is reaching its limits in terms of scalability, requiring a large number of support staff to operate and being hard to extend with new technologies. Rucio will deal with these issues by relying on a conceptual data model and new technology to ensure system scalability, address new user requirements and employ new automation framework to reduce operational overheads. We present the key concepts of Rucio, including its data organization/representation and a model of how to manage central group and user activities. The Rucio design, and the technology it employs, is described, specifically looking at its RESTful architecture and the various software components it uses. We show also the performance of the system.