A service processing method for metropolitan area network based on service orchestrator

Abstract

The invention discloses a service orchestrator-based metropolitan area network service processing method. According to the method, a service orchestrator is in butt joint with an application end and an SDN controller. The method includes the following steps that: S1, the application end submits a service request and invokes a service product in the service orchestrator; S2, the service orchestrator configures the service product with related parameters, creates a service instance, and issues an instruction to the SDN controller; S3, the SDN controller generates device configuration data according to the instruction of the orchestrator; and S4, the SDN controller sends the device configuration data to a metropolitan area network device through a NetConf protocol. With the method of the invention adopted, customized programming is performed based on user requirements; scheduling and adjustment are performed based on the traffic of an entire network; the closed management and control modeof a traditional network device is discarded; and the entire network can be rapidly deployed and constructed.

Description

technical field [0001] The invention relates to the Internet field, in particular to a service processing method of a metropolitan area network based on a service arranger. Background technique [0002] With the integration of fixed and mobile networks and the rapid development of government and enterprise services, the types of services carried by the metropolitan area network are becoming more and more abundant. With the rapid development and large-scale deployment of cloud computing, the future network will be centered on DCs and integrated locally. [0003] In addition, with the growth of the network scale, the number of network elements also increases rapidly, and the configuration instructions and styles of different manufacturers' equipment are different. Relying on the existing network element-by-network configuration mode, the workload is heavy, the configuration time is long, and there are many configuration levels. The configuration accuracy rate is not high, and...

AI Technical Summary

Problems solved by technology

[0006] With the development of cloud computing, mobile Internet and other application modes and changes in traffic models, it is often necessary for the network to actively "adapt" to business traffic so that applications can change as needed. However, the current network management is mainly device-oriented Rather than business management, the perspective is more based on nodes rather than a global perspective. Therefore, many unsolvable problems have arisen:

[0009] There are many services, complex configuration, error-prone manual configuration, and long activation period;

[0010] (2) Traffic scheduling is difficult and lacks flexibility:

[0011] Due to the lack of perspective of the entire network, the devices select routes based on their respective routes, and the shortest route is selected instead of the optimal route, resulting in low bandwidth utilization; service flow routing cannot be automatically and quickly adjusted according to changes in network conditions, and user experience cannot be guaranteed.

[0012] Traditional policy routing and traffic engineering have large limitations and complex configurations, and cannot dynamically adapt to changes in network status and application requirements.

[0013] (3) The operation and maintenance experience of network maintenance personnel is poor:

[0015] There is no visual presentation of traffic and services, which makes it impossible to quickly identify and locate faults, making O&M difficult

[0016] (4) The network opening capability is weak and unable to adapt to the network requirements of the business:

[0017] The equipment is complex, the network is closed, and the programmability is weak, which cannot meet the needs of rapid service deployment and flexible customization

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