A cloud-network fusion management system based on multi-access edge computing technology

Abstract

The invention discloses a cloud-network fusion management system based on multi-access edge computing technology, relates to the field of edge computing technology, and includes a data collection module, a cloud server, a path fusion module, and a quota allocation module; the data analysis module is used for receiving The data is packaged, and the data packets are sequentially transmitted to the cloud server according to the processing priority value, which makes the data processing more hierarchical; the path fusion module is used to obtain several network slices according to the preset rules, and select the corresponding network slices for fusion to obtain Data transmission path; the quota allocation module is used to allocate data transmission quotas for the data transmission path, and when the data transmission quota is exhausted, the path is discarded; at the same time, the path fusion module selects the corresponding network slice from the remaining network slices for fusion to obtain new data The transmission path, and so on; effectively avoid the problem of low transmission efficiency caused by too many data packets transmitted on the same path and the continuous transmission time is too long.

Description

technical field [0001] The invention relates to the technical field of edge computing, in particular to a cloud-network fusion management system based on multi-access edge computing technology. Background technique [0002] Edge computing is a distributed computing model. As the middle layer between cloud data centers and IoT devices, it provides computing, network and storage functions, so that services based on cloud data centers can be closer to IoT devices; edge The introduction of the concept of computing is also to deal with the challenges faced by traditional cloud computing in the application of the Internet of Things. Edge computing allows data to be processed at the edge network; the edge network is basically composed of terminal devices (such as mobile phones, smart devices), edge devices (such as border routers, set-top boxes, bridges, base stations, wireless access points), edge servers, etc.; these devices have certain performance to support edge computing. As ...

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Problems solved by technology

[0003] With the advent of the big data era, the amount of data in enterprises is increasing, and the timeliness requirements are getting higher and higher. Nowadays, the collection, collation, analysis and application of big data require corresponding technical implementation and support. If not handled properly , it will generate high data processing delay and affect service efficiency

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