A Survey on Emerging Computing Paradigms for Big Data

ZHANG Yaoxue; REN Ju; LIU Jiagang; XU Chugui; GUO Hui; LIU Yaping

doi:10.1049/cje.2016.11.016

Volume 26 Issue 1

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ZHANG Yaoxue, REN Ju, LIU Jiagang, et al., “A Survey on Emerging Computing Paradigms for Big Data,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 1-12, 2017, doi: 10.1049/cje.2016.11.016

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ZHANG Yaoxue, REN Ju, LIU Jiagang, et al., “A Survey on Emerging Computing Paradigms for Big Data,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 1-12, 2017, doi: 10.1049/cje.2016.11.016

ZHANG Yaoxue, REN Ju, LIU Jiagang, et al., “A Survey on Emerging Computing Paradigms for Big Data,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 1-12, 2017, doi: 10.1049/cje.2016.11.016

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A Survey on Emerging Computing Paradigms for Big Data

doi: 10.1049/cje.2016.11.016

1.
School of Information Science and Engineering, Central South University, Changsha 410083, China;
2.
Research Institute of Information Security and Big Data, Central South University, Changsha 410083, China

Funds: This work is supported by the Project of Innovation-driven Plan of Central South University, the China Hunan Provincial Science & Technology Program (No.2012GK4106), and International Science & Technology Cooperation Program of China (No.2013DFB10070).

More Information

Corresponding author: REN Ju (corresponding author) received the B.S. (2009), M.S. (2012), and Ph.D. (2016) degrees, all in computer science from Central South University (CSU), China. From 2013 to 2015, he was a visiting Ph.D. student at the Department of Electrical and Computer Engineering, University of Waterloo, Canada. Since 2016, he has been a distinguished professor with the School of Information Science and Engineering at CSU. His research interests include Internet-of-things, wireless communication, transparent computing and cloud computing. (Email:renju@csu.edu.cn)
Received Date: 2016-10-18
Rev Recd Date: 2016-10-28
Publish Date: 2017-01-10

Abstract

Abstract

The explosive growth of data volume and the ever-increasing demands of data value extraction have driven us into the era of big data. The "5V" (Variety, Velocity, Volume, Value, and Veracity) characteristics of big data pose great challenges to traditional computing paradigms and motivate the emergence of new solutions. Cloud computing is one of the representative technologies that can perform massive-scale and complex data computing by taking advantages of virtualized resources, parallel processing and data service integration with scalable data storage. However, as we are also experiencing the revolution of Internet-of-things (IoT), the limitations of cloud computing on supporting lightweight end devices significantly impede the flourish of cloud computing at the intersection of big data and IoT era. It also promotes the urgency of proposing new computing paradigms. We provide an overview on the topic of big data, and a comprehensive survey on how cloud computing as well as its related technologies can address the challenges arisen by big data. Then, we analyze the disadvantages of cloud computing when big data encounters IoT, and introduce two promising computing paradigms, including fog computing and transparent computing, to support the big data services of IoT. Finally, some open challenges and future directions are summarized to foster continued research efforts into this evolving field of study.
- Computing paradigm,
- Big data,
- Cloud computing,
- Transparent computing,
- Fog computing,
- Int-ernet-of-things (IoT)

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References(68)

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