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CF4BDA: A Conceptual Framework for Big Data Analytics Applications in the Cloud

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Author

  • Qinghua Lu
  • Zheng Li
  • Maria Kihl
  • Liming Zhu
  • Weishan Zhang

Summary, in English

Building big data analytics applications (BDA) in the Cloud introduces inevitable challenges such as loss of control and uncertainty. To address the existing challenges, numerous efforts have been made on BDA application engineering to optimise quality of BDA applications in the Cloud, such as performance and reliability. However, there is still a lack of systematic view on engineering BDA applications in the Cloud. Therefore, in this paper, we present a conceptual framework named CF4BDA to analyse existing work on BDA applications from two perspectives: the lifecycle of BDA applications and the objects involved in the context of BDA applications in the Cloud. The framework can help researchers and practitioners identify the research opportunities in a structured way and guide implementing BDA applications in the Cloud. We perform a preliminary evaluation of the usefulness of CF4BDA by applying it to analyse a set of representative studies.

Publishing year

2015

Language

English

Pages

1944-1952

Publication/Series

IEEE Access

Volume

3

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Computer Systems

Status

Published

Project

  • LCCC

Research group

  • Broadband Communication

ISBN/ISSN/Other

  • ISSN: 2169-3536