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Better Realization of Mobile Cloud Computing Using Mobile Network Computers

  • Zhaoming GuoEmail author
  • Xincheng Ren
  • Feng Ren
Article
  • 4 Downloads

Abstract

In this paper, we first briefly explain why mobile network computers should be used as mobile terminals based on the concept of mobile network computer and cloud computing. Then, we illustrate the related aspects of cloud computing including classification, characteristics, and technology. Finally, we investigate why mobile network computer can better realize mobile cloud computing using the cloud computing platform. Mobile network computer is an important concept, which is rational from both mobile network communications and mobile network computing perspective. We aim to promote the concept of the mobile network computer. Furthermore, we mainly illustrate that mobile network computers should be the terminals of mobile communication networks. Mobile network computers define modern mobile terminals better and reflect the nature of multiple mobile terminals based on the structure of their integrated computers and the capability of multimedia based on the concepts of mobile network computer and cloud computing. Moreover, we also illustrate how mobile network computing is realized by mobile network computers using the cloud computing platform. Computers are the main terminals of fixed and mobile networks, respectively. With the introduction of cloud computing, mobile network computers can better highlight their value using the cloud computing platform. The concept of mobile network computer is appropriate in the information age.

Keywords

Mobile communication network Mobile computer network Mobile network computer Cloud computing Mobile network computing Mobile cloud computing 

Notes

Acknowledgements

We would like to thank Editage http://www.editage.cn/ for English language editing. This work is supported by the National Natural Science Foundation of China (Nos. 61379026, 61861043) and the Doctoral Supported Project of Yan’an University (No. YDBK2017-16).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Physics and Electronic Information, Shaanxi Key Laboratory of Intelligent Processing of Big Energy DataYan’an UniversityYan’anChina
  2. 2.Beijing Fenghua Information Technology Limited CompanyBeijingChina

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