Local storage federation through XRootD architecture for interactive distributed analysis

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Colamaria, F.^1 ; Colella, D.^1 ; Donvito, G.^2 ; Elia, D.^2 ; Franco, A.^2 ; Luparello, G.^3 ; Maggi, G.^4 ; Miniello, G.^1 ; Vallero, S.^5 ; Vino, G.^1

Universitá degli Studi di Bari, INFN Sezione di Bari, Italy^1

INFN Sezione di Bari, Italy^2

Universitá di Trieste, INFN Sezione di Trieste, Italy^3

Politecnico di Bari, INFN Sezione di Bari, Italy^4

Universitá di Torino, INFN Sezione di Torino, Italy^5

关键词: Cloud technologies;    Computing resource;    Data-intensive analysis;    Distributed analysis;    Distributed cache;    Federated infrastructures;    Performance study;    Storage facilities;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/4/042013/pdf
DOI  :  10.1088/1742-6596/664/4/042013

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

A cloud-based Virtual Analysis Facility (VAF) for the ALICE experiment at the LHC has been deployed in Bari. Similar facilities are currently running in other Italian sites with the aim to create a federation of interoperating farms able to provide their computing resources for interactive distributed analysis. The use of cloud technology, along with elastic provisioning of computing resources as an alternative to the grid for running data intensive analyses, is the main challenge of these facilities. One of the crucial aspects of the user-driven analysis execution is the data access. A local storage facility has the disadvantage that the stored data can be accessed only locally, i.e. from within the single VAF. To overcome such a limitation a federated infrastructure, which provides full access to all the data belonging to the federation independently from the site where they are stored, has been set up. The federation architecture exploits both cloud computing and XRootD technologies, in order to provide a dynamic, easy-to-use and well performing solution for data handling. It should allow the users to store the files and efficiently retrieve the data, since it implements a dynamic distributed cache among many datacenters in Italy connected to one another through the high-bandwidth national network. Details on the preliminary architecture implementation and performance studies are discussed.