CF4BDA: a conceptual framework for big data analytics applications in the cloud

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

doi:10.1109/ACCESS.2015.2490085

CF4BDA: a conceptual framework for big data analytics applications in the cloud

Qinghua Lu^*
, Zheng Li^*
, Maria Kihl
, Liming Zhu
, Weishan Zhang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

91 Downloads (Pure)

Abstract

Building big data analytics (BDA) applications 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 optimize the 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 analyze the existing work on BDA applications from two perspectives: 1) the lifecycle of BDA applications and 2) 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 analyze a set of representative studies.

Original language	English
Article number	7298399
Pages (from-to)	1944-1952
Number of pages	9
Journal	IEEE Access
Volume	3
DOIs	https://doi.org/10.1109/ACCESS.2015.2490085
Publication status	Published - 15 Oct 2015
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

Big data
Cloud computing
Context modeling
Data analystics
Reliability engineering
Semantics
Software engineering

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

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10.1109/ACCESS.2015.2490085Licence: CC BY

CF4BDA: a conceptual framework for big data analytics applications in the cloud
Copyright 2015 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited
Final published version, 5.53 MBLicence: CC BY

Cite this

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title = "CF4BDA: a conceptual framework for big data analytics applications in the cloud",

abstract = "Building big data analytics (BDA) applications 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 optimize the 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 analyze the existing work on BDA applications from two perspectives: 1) the lifecycle of BDA applications and 2) 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 analyze a set of representative studies.",

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doi = "10.1109/ACCESS.2015.2490085",

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AU - Zhu, Liming

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KW - Context modeling

KW - Data analystics

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CF4BDA: a conceptual framework for big data analytics applications in the cloud

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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