The Framework of the MDATA Computing Model

Yan Jia; Aiping Li; Zhaoquan Gu; Bin Zhou; Ye Wang; Xiang Wang; Hongkui Tu

doi:10.1007/978-3-030-71590-8_2

The Framework of the MDATA Computing Model

Yan Jia
, Aiping Li^*
, Zhaoquan Gu
, Bin Zhou
, Ye Wang
, Xiang Wang
, Hongkui Tu

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen
National University of Defense Technology
Guangzhou University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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 collaborative 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 chapter proposes a computing architecture named Fog-cloud 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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	19-31
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-030-71590-8_2
State	Published - 2021
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12647 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Collaborative computing
Fog-cloud computing
MDATA

Access to Document

10.1007/978-3-030-71590-8_2

Cite this

Jia, Y., Li, A., Gu, Z., Zhou, B., Wang, Y., Wang, X., & Tu, H. (2021). The Framework of the MDATA Computing Model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 19-31). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12647 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-71590-8_2

Jia, Yan ; Li, Aiping ; Gu, Zhaoquan et al. / The Framework of the MDATA Computing Model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, 2021. pp. 19-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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keywords = "Collaborative computing, Fog-cloud computing, MDATA",

author = "Yan Jia and Aiping Li and Zhaoquan Gu and Bin Zhou and Ye Wang and Xiang Wang and Hongkui Tu",

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Jia, Y, Li, A, Gu, Z, Zhou, B, Wang, Y, Wang, X & Tu, H 2021, The Framework of the MDATA Computing Model. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12647 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 19-31. https://doi.org/10.1007/978-3-030-71590-8_2

The Framework of the MDATA Computing Model. / Jia, Yan; Li, Aiping; Gu, Zhaoquan et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, 2021. p. 19-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12647 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - 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 collaborative 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 chapter proposes a computing architecture named Fog-cloud 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.

KW - Collaborative computing

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KW - MDATA

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Jia Y, Li A, Gu Z, Zhou B, Wang Y, Wang X et al. The Framework of the MDATA Computing Model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH. 2021. p. 19-31. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-71590-8_2

The Framework of the MDATA Computing Model

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