会议论文详细信息
17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research
CLARA: CLAS12 Reconstruction and Analysis Framework
物理学;计算机科学
Gyurgyan, V.^1 ; Mancilla, S.^2 ; Oyarzún, R.^2
Thomas Jefferson National Accelerator Facility, Newport News
VA, United States^1
Universidad Técnica Federico Santa María, Valparaíso, Chile^2
关键词: Analysis frameworks;    Batch systems;    Data driven;    Data processing applications;    Data-centric architecture;    Event reconstruction;    Large volumes;    Real-time data streams;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/762/1/012009/pdf
DOI  :  10.1088/1742-6596/762/1/012009
学科分类:计算机科学(综合)
来源: IOP
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【 摘 要 】

In this paper we present SOA based CLAS12 event Reconstruction and Analyses (CLARA) framework. CLARA design focus is on two main traits: real-time data stream processing, and service-oriented architecture (SOA) in a flow based programming (FBP) paradigm. Data driven and data centric architecture of CLARA presents an environment for developing agile, elastic, multilingual data processing applications. The CLARA framework presents solutions capable of processing large volumes of data interactively and substantially faster than batch systems.

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