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A service collaboration method based on mobile edge computing in internet of things

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Abstract

In recent years, cloud computing can provide efficient data storage and processing infrastructure for Internet of things (IoT). However, the complete centralization of cloud computing brings inevitable limitations, such as the inability to support real-time service response. Mobile edge computing can solve the problems caused by traditional cloud computing. By placing computing and storage resources at the edge of the mobile network near the user, mobile edge computing extends the ability of cloud computing at the edge of the network. The advantage of mobile edge computing is that it reduces the amount of data sent to the cloud. Therefore, data processing is more flexible and convenient. Mobile edge computing can realize lower latency and higher data processing ratio, which will play an important role in the future application of IoT. Firstly, a system model for the application scenario is established, which is a real-time and context aware service resource collaboration model. Then a service collaboration method based on mobile edge computing is designed, which mainly includes service function description, service collaboration process and algorithm design. Finally, the simulation experiments are carried out. Compared with the other two existing methods, our method can effectively reduce service execution time and improve the success ratio of service requests. So the method presented in this paper is more effective and reliable. We provide a solution for service collaboration method based on mobile edge computing in IoT, which can make better use of various service resources.

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Acknowledgements

This work was supported by National Natural Science Foundation of China Grant No.61972133 and No.12101195, Henan Province Key Scientific and Technological Projects Grant No.202102210162, No.212102210383, No.222102210177 and No.222102210072, Open Foundation of State key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications) Grant No. SKLNST-2018-1-09, Project of Leading Talents in Science and Technology Innovation for Thousands of People Plan in Henan Province Grant No.204200510021.

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Authors and Affiliations

  1. Information Engineering College, Henan University of Science and Technology, Luoyang, 471023, China

    Danmei Niu, Yuxiang Li, Zhiyong Zhang & Bin Song

  2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Danmei Niu

  3. Henan International Joint Laboratory of Cyberspace Security Applications, Henan University of Science and Technology, Luoyang, 471023, China

    Danmei Niu, Yuxiang Li, Zhiyong Zhang & Bin Song

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  1. Danmei Niu
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  2. Yuxiang Li
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Correspondence to Danmei Niu.

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Niu, D., Li, Y., Zhang, Z. et al. A service collaboration method based on mobile edge computing in internet of things. Multimed Tools Appl 82, 6505–6529 (2023). https://doi.org/10.1007/s11042-022-13394-x

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  • DOI: https://doi.org/10.1007/s11042-022-13394-x

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