A multi-controller dynamic deployment method for software-defined spatial information network

Abstract

The invention discloses a multi-controller dynamic deployment method of a software defined spatial information network. In the case of flow surge of switching nodes, the overload switch node can be migrated to an adjacent non-overload area by means of the collaboration of the controllers to realize the dynamic migration of the switch so as to reduce the processing pressure of the controllers and realize load balance of multiple controllers. A multi-target optimization method based on switch flow r, an interaction delay t and a controller volume f is provided in view of the migration problem of the overload switch by the controllers, a proper migration switch is selected according to the three parameters, and a target controller is selected according to the supportable residual load of the target controller; and with respect to the underload controller, the target is migrated by considering the requirement that the load of the other controllers can bear the migration of all switches in the underload controller, and then the underload controller is closed. By adoption of the multi-controller dynamic deployment method disclosed by the invention, the network response delay is shortened, the network throughput is improved, and the load balance among the controllers is guaranteed.

Description

technical field [0001] The present invention relates to a spatial information network, in particular to a software-defined spatial information network (Software Defined Spatial Information Network, SDSIN for short). Background technique [0002] In order to meet the needs of civil and military development strategies in the new era, and to accelerate the pace of development of aerospace technology in ocean navigation, emergency rescue, navigation and positioning, air transportation, aerospace measurement and control, etc., as the development trend of future satellite networks, space information networks have become At present, it is a hot topic in international research. The space information network is composed of earth satellites, space stations, unmanned / manned spacecraft, airships, aircrafts and other nodes at different heights. Through satellite-ground and inter-satellite links, various spacecraft and ground communication networks and other heterogeneous networks are int...

AI Technical Summary

Problems solved by technology

[0004] At present, some researchers have proposed the controller deployment problem, also known as the CPP problem, that is, given an SDN network topology, where the controller should be deployed to meet the predefined optimization goals; then in order to improve the reliability of the SDN network , some researchers have proposed a multi-controller deployment scheme based on reliability, which solves the reliability problem, but the delay is relatively large; in order to solve the delay problem, some studies have proposed a delay-optimized deployment scheme, but there is no The problem of controller capacity can be considered; in the delay-tolerant environment, the controller capacity can be fully considered and the controller can be reasonably deployed. However, the above deployment schemes are static, that is, the topology is known and the traffic will not change suddenly. According to the research conducted under , the mapping relationship between the controller and the switch is static, while the satellite topology in the space information network is highly dynamic, and the traffic will also change drastically due to sudden traffic, which leads to the traditional multi-controller static The deployment method cannot adapt to the highly dynamic changes of the spatial information network, which eventually leads to multi-controller load imbalance and even network collapse

Images