Architecture based on fog computing in SDN (Software Defined Network) and processing method thereof

Abstract

The invention relates to an architecture based on fog computing in an SDN (Software Defined Network). The architecture comprises an Internet of Things equipment layer, a fog computing layer, a control node and a cloud computing center. A processing method of the architecture based on the fog computing in the SDN comprises the following steps: step (1), sending a request to the control node by an intelligent sensor via an intelligent Internet of Things gateway; step (2), if not being a delay-sensitive service, turning to step (3), otherwise turning to step (4); step (3), transmitting data to the cloud computing center by the control node, and feeding a result back to a controlled terminal by the cloud computing center; step (4), if a data processing service request is less than a threshold, turning to step (5), otherwise turning to step (6); step (5), searching a server occupancy table and processing the server occupancy table by selected edge servers and feeding the result back to the controlled terminal; and step (6), inquiring the server occupancy table, selecting the edge servers whose CPU utilization rate and memory usage are greater than the threshold by the control node, performing data processing by the plurality of selected edge servers, and returning a processing result to the controlled terminal.

Description

technical field [0001] The present invention relates to the field of the Internet of Things and fog computing, and in particular to a framework based on fog computing in SDN and a processing method thereof. Background technique [0002] In recent years, with the widespread application of cloud computing and Internet of Things technologies, more and more applications put data processing and storage in cloud computing centers, which solves the problem of insufficient storage and computing capabilities of Internet of Things devices and smart terminals. Reduced energy consumption of such equipment. [0003] Although cloud computing is more and more widely used, smart devices cannot fully benefit from cloud computing services, for example, smart devices lack network resources and the ability to perform computing processing in cloud computing centers. Due to the large transmission delay, the service form of cloud computing is not suitable for delay-sensitive applications. [000...

AI Technical Summary

Problems solved by technology

[0003] Although cloud computing is more and more widely used, smart devices cannot fully benefit from cloud computing services. For example, smart devices lack network resources and the ability to perform calculations in cloud computing centers.

Due to the large transmission delay, the service form of cloud computing is not suitable for delay-sensitive applications.

[0004] By 2020, the number of smart devices connected to the Internet will exceed 24 billion. Due to the increase in the number of connected devices, the long distance between smart devices and cloud computing centers, and users' repeated requests for cloud computing services, it will seriously affect network performance. Burden and reduce the Qos of cloud computing services

In addition, high network latency between cloud computing centers and smart devices is not suitable for latency-sensitive applications and services

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