| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
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