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Mobile neural intelligent information system based on edge computing with interactive data

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Abstract

With the increasing popularity of smart mobile terminals, smartphones, tablet computers and other mobile devices will gradually replace personal computers and become the most important computing platform for consumers. Mobile edge computing (MEC), as a key technology for the evolution of communication network architecture, can meet the requirements of the system for throughput, delay, network scalability and intelligence. Based on the MEC, the content and services provided by information system are closer to users to increase mobile network speed, reduce latency and improve connection reliability. In this paper, we propose an interactive data information system based on mobile edge detection, which is divided into client and server. The server mainly provides services such as content and user login and rights management for the client. The client needs to log into the server to run normally. Among them, the interactive data server is a favorable support and guarantee for the client. The experimental results show that the proposed method has higher efficiency and fault tolerance.

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Acknowledgements

This research was supported by the National Natural Science Foundation of China under Grant No. 61802317.

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Authors and Affiliations

  1. School of Information Engineering, Xijing University, Xi’an, 710123, People’s Republic of China

    Yucheng Zhang

  2. George Washington University, Washington, USA

    Yang Li

  3. Director Office, GoPerception Laboratory, Ithaca, 14853, USA

    Haoxiang Wang

Authors
  1. Yucheng Zhang
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  2. Yang Li
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  3. Haoxiang Wang
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Correspondence to Haoxiang Wang.

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Zhang, Y., Li, Y. & Wang, H. Mobile neural intelligent information system based on edge computing with interactive data. Neural Comput & Applic 33, 4329–4341 (2021). https://doi.org/10.1007/s00521-020-05269-9

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