Res Earch On Edge Computing Offloading Technology Based On Software Defined Indu Strial Internet

Since the 21st century,the continuous development and evolution of information network technology has brought new opportunities and developments to various fields and fields such as basic communication,financial economy,and traditional manufacturing,which has greatly promoted the cross-integration among various industries.The development of big data,artificial intelligence and public cloud has spawned the Industrial Internet of Things(IIoT).By combining traditional manufacturing with Internet technology,a new model of information-driven technology-driven production has gradually replaced the artificial experience model.From the perspective of overall productivity and cost,the Industrial Internet has brought innovation to the industry.However,due to the traditional industrial communication architecture,it is unable to meet real-time communication of devices,and task auto-arrangement.So it is impossible to combine Internet big data analysis and prediction technology,resulting in low production accuracy and detection rate.The emergence of Software Defined Network(SDN)and Edge Computing(EC)provides an effective solution for the realization of Industrial Internet.SDN can manage network data forwarding with an SDN controller by global topology view,which enables centralized management of devices and data streams;simplify data plane transmission,and the unified north-south interface improves system scalability while also make network programmable.As a novel computing model,edge computing can provide stable and low latency services that cloud computing cannot by deploying computing resources with distributed computing nodes close to the data source.It is mainly used for low delay and data security requirements.This article addresses the key issues in the Industrial Internet by completing the following innovative work:1)Propose an edge computing service architecture based on software-defined network to provide efficient and stable computing,resource management and scheduling capabilities for industrial networks;2)Propose a dynamic flow table configuration algorithm for SDN switches based on global network topology to improve the carrying capacity of industrial networks;3)Propose a minimum computing offloading latency solution,and research and simulate the problem of multi-type quality of service(QoS)offloading.