Software Architecture of Fogcloud Computing for Big Data in Ubiquitous Cyberspace

Yan Jia; Binxing Fang; Xiang Wang; Yongheng Wang; Jingbin An; Aiping Li; Bin Zhou

doi:10.15302/J-SSCAE-2019.10.001

PDF(662 KB)

Strategic Study of CAE ›› 2019, Vol. 21 ›› Issue (6) : 114-119. DOI: 10.15302/J-SSCAE-2019.10.001

Engineering Management

Orginal Article

Software Architecture of Fogcloud Computing for Big Data in Ubiquitous Cyberspace

Author information +

History +

Abstract

The cyberspace has expanded from traditional internet to ubiquitous cyberspace which interconnects human, machines,things, services, and applications. The computing paradigm is also shifting from centralized computing in the cloud to combined computing in the front end, middle layer, and cloud. Therefore, traditional computing paradigms such as cloud computing and edge computing can no longer satisfy the evolving computing needs of big data in ubiquitous cyberspace. This paper presents a computing architecture named Fogcloud Computing for big data in ubiquitous cyberspace. Collaborative computing by multiple knowledge actors in the fog, middle layer, and cloud is realized based on the collaborative computing language and models, thereby providing a solution for big data computing in ubiquitous cyberspace.

Keywords

fogcloud computing / ubiquitous cyberspace / big data / Internet of Things / cloud computing

Cite this article

EndNote

Ris (Procite)

Bibtex

Download citation ▾

Yan Jia, Binxing Fang, Xiang Wang, Yongheng Wang, Jingbin An, Aiping Li, Bin Zhou. Software Architecture of Fogcloud Computing for Big Data in Ubiquitous Cyberspace. Strategic Study of CAE, 2019, 21(6): 114‒119 https://doi.org/10.15302/J-SSCAE-2019.10.001

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	Schroeder B, Gibson G. A large-scale study of failures in highperformance computing systems [J]. IEEE Transactions on Dependable and Secure Computing, 2009, 7(4): 337–350.

[2]	罗军舟, 金嘉晖, 宋爱波, 等. 云计算: 体系架构与关键技术 [J]. 通信学报, 2011 (7): 3–21. Luo J Z, Jin J H, Song A B, et al. Cloud computing: Architecture and key technologies [J]. Journal on Communications, 2011 (7): 3–21.

[3]	Bonomi F, Milito R, Zhu J, et al. Fog computing and its role in the internet of things [C]. Helsinki: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, 2012.

[4]	Shi W, Cao J, Zhang Q, et al. Edge computing: Vision and challenges [J]. IEEE Internet of Things Journal, 2016, 3(5): 637–646.

[5]	刘大有, 杨鲲, 陈建中. Agent研究现状与发展趋势 [J]. 软件学报, 2000, 11(3): 315–321. Liu D Y, Yang K, Chen J Z. Agents: Present status and trends [J]. Journal of Software, 2000, 11(3): 315–321.

[6]	Olfati-Saber R, Fax J A , Murray R M. Consensus and cooperation in networked multi-agent systems [J]. Proceedings of the IEEE, 2007, 95(1): 215–233.

[7]	Mayer-Schonberger V, Cukier K. Big data: A revolution that will transform how we live, work, and think [M]. Boston: Houghton Mifflin Harcourt, 2013.

[8]	Sicari S, Rizzardi A, Grieco L A, et al. Security, privacy and trust in Internet of Things: The road ahead [J]. Computer Networks, 2015, 76(15): 146–164.

[9]	Fang B X, Jia Y, Li X, et al. Big search in cyberspace [J]. IEEE Transactions on Knowledge and Data Engineering, 2017, 29(9): 1793–1805.

[10]	López G, Quesada L, Guerrero L A. Alexa vs. Siri vs. Cortana vs. Google Assistant: A comparison of speech-based natural user interfaces [C]. Los Angeles: International Conference on Applied Human Factors and Ergonomics, 2017.