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

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

Abstract

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.

Original language	English
Pages (from-to)	1944-1952
Journal	IEEE Access
Volume	3
DOIs	https://doi.org/10.1109/ACCESS.2015.2490085
Publication status	Published - 2015

Subject classification (UKÄ)

Computer Systems

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10.1109/ACCESS.2015.2490085

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Holmqvist, A. (Researcher), Andersson, N. (Researcher), Cervin, A. (Researcher), Mannesson, A. (Researcher), Gattami, A. (Researcher), Ghulchak, A. (Researcher), Papadopoulos, A. V. (Researcher), Rantzer, A. (Researcher), Robertsson, A. (Researcher), Sootla, A. (Researcher), THEORIN, A. (Researcher), Bernhardsson, B. (Researcher), Olofsson, B. (Researcher), Wittenmark, B. (Researcher), Grussler, C. (Researcher), Johnsson, C. (Researcher), MADJIDIAN, D. (Researcher), Johannesson, E. (Researcher), Magnusson, F. (Researcher), Ståhl, F. (Researcher), Como, G. (Researcher), Chasparis, G. (Researcher), Turesson, G. (Researcher), Dressler, I. (Researcher), Åkesson, J. (Researcher), Cho, J. H. (Researcher), Årzén, K.-E. (Researcher), Åström, K. J. (Researcher), Sou, K. C. (Researcher), Mårtensson, K. (Researcher), Berntorp, K. (Researcher), Soltesz, K. (Researcher), Lessard, L. (Researcher), Hast, M. (Researcher), Rönn, M. (Researcher), Ansbjerg Kjær, M. (Researcher), Maggio, M. (Researcher), Kristalny, M. (Researcher), Garpinger, O. (Researcher), From, P. J. (Researcher), Larsson, P.-O. (Researcher), Giselsson, P. (Researcher), Johansson, R. (Researcher), Hägglund, T. (Researcher), Vladimerou, V. (Researcher), Romero Segovia, V. (Researcher), Aurelius, A. (Researcher), Cedersjö, G. (Researcher), Bür, K. (Researcher), Dellkrantz, M. (Researcher), Du, M. (Researcher), Amani, P. (Researcher), Larsson, R. (Researcher), Tärneberg, W. (Research student), Li, Z. (Researcher), Yin, L. (Researcher), Tufvesson, F. (Researcher), Höst, S. (Researcher), Nilsson, B. (Researcher), Stenström, S. (Researcher), Andersson, J. A. (Researcher), Diehl, S. (Researcher), Dürango, J. (Researcher), Ghazaei Ardakani, M. (Researcher), Forsberg, P.-O. (Researcher), Bengtsson, F. (Researcher), Jörntell, H. (Researcher), Arévalo, C. (Researcher), Führer, C. (Researcher), Andersson, C. (Researcher), Mohammadi, F. (Researcher), Ödling, P. (Researcher), Andersson, M. (Researcher), Kihl, M. (Researcher) & Tunestål, P. (Researcher)
2008/07/01 → 2018/06/30
Project: Research

Cite this

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title = "CF4BDA: A Conceptual Framework for Big Data Analytics Applications in the Cloud",

abstract = "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.",

author = "Qinghua Lu and Zheng Li and Maria Kihl and Liming Zhu and Weishan Zhang",

year = "2015",

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journal = "IEEE Access",

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T1 - CF4BDA: A Conceptual Framework for Big Data Analytics Applications in the Cloud

AU - Lu, Qinghua

AU - Li, Zheng

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AU - Zhu, Liming

AU - Zhang, Weishan

PY - 2015

Y1 - 2015

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AB - 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.

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VL - 3

SP - 1944

EP - 1952

JO - IEEE Access

JF - IEEE Access

ER -

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

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