Business-oriented traffic grooming method and device, computing equipment and storage medium

Abstract

The embodiment of the invention relates to the technical field of wireless communication, and discloses a service-oriented traffic grooming method and device, computing equipment and a storage medium.The method comprises the following steps: enabling a controller to receive traffic data which is transmitted by a convergence router and is subjected to traffic strategy configuration through the core router; carrying out application feature analysis on the flow data and setting a service group; and sending back the traffic data of the service packet to the core router and then dredging the traffic data through an exit corresponding to the service packet. By means of the mode, distinguishing of different service levels and different service requirements and shunting optimization of specific applications can be achieved, different exit routing of different internet applications by various important special lines can be flexibly achieved by configuring multiple strategy groups, efficiency is high, and accuracy is high.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of wireless communication, and in particular to a service-oriented traffic grooming method, device, computing device, and storage medium. Background technique [0002] NetFlow is a network data packet switching technology, which is first used in network equipment to accelerate data exchange, and can simultaneously realize the measurement and statistics of Internet Protocol (IP) data flows interconnected between high-speed forwarding networks. NetFlow has become the most important industry standard for IP traffic analysis, statistics and billing recognized in the Internet field today. In order to accurately analyze and measure the traffic and flow direction of different types of business flows in the network, NetFlow needs to distinguish various types of data packets transmitted in the network. NetFlow technology can quickly distinguish the flow of various types of business transmitted ...

AI Technical Summary

Problems solved by technology

The strategy routing optimization method needs to rely on Domain Name System (Domain Name System, DNS) and Deep Packet Inspection (Deep Packet Inspection, DPI) analysis data to locate and analyze the server IPs of various mainstream applications. Since there are a large number of applications on the Internet, the corresponding The server IP is also at a massive level, requiring a lot of pre-analysis and sorting work. New additions, deletions, server changes, etc. of Internet applications require continuous analysis and manual configuration, which greatly increases the complexity of network management.

The policy-based routing optimization method is used to configure policy-based routing on the routing device to guide traffic. To operate a large number of target IP lists, the process is cumbersome, requires a lot of labor and is prone to errors; the policy-based routing optimization method is only for the source address and only for the target IP. Diversion and diversion cannot achieve user-specific optimization. For example, Internet cafe dedicated line users focus on optimizing games, enterprises focus on optimizing web pages, and ordinary dedicated lines use conventional exits, etc.

The QoS label optimization method is based on the private line source IP to label and distinguish the QoS level of the traffic. It only realizes different source IPs to take different quality egress links, but cannot realize fine distribution and optimization of traffic. The application efficiency of high-quality egress is low. Manual configuration of dedicated line IP and The pairing relationship of QoS labels requires different labels with multiple priorities for different IPs, which is easy to cause errors and omissions

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