Big Data Architecture and Reference Models

  • Qing LiEmail author
  • Zhiyong Xu
  • Iotong Chan
  • Shaobo Yang
  • Yudi Pu
  • Hailong Wei
  • Chao Yu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11231)


The emergence of big data provides opportunities for both academic and industrial area and changes the way people solve complex problems and evaluate the value of data. However, there is a lack of studies on architecture frameworks and modelling methods in the context of big data, which is the key to support the analysis, design, implementation and evaluation phases of big data applications. The paper proposes a Big Data Architecture (BDA) to support the top-level design of enterprise information integration applications in big data environments. Moreover, reference models of performance, business, application, data, infrastructure and security views are discussed.


Big data Enterprise architecture Enterprise modelling 



This work is sponsored by the National Natural Science Foundation of China, No. 61174168 and 61771281, the 2018 Industrial Internet innovation and development project.


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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Qing Li
    • 1
    Email author
  • Zhiyong Xu
    • 1
  • Iotong Chan
    • 1
  • Shaobo Yang
    • 2
  • Yudi Pu
    • 1
  • Hailong Wei
    • 1
  • Chao Yu
    • 1
  1. 1.Department of AutomationTsinghua UniversityBeijingPeople’s Republic of China
  2. 2.Systems Engineering Research InstituteChina State Shipbuilding CorporationBeijingPeople’s Republic of China

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