15 results about "Software define network" patented technology

The application discloses a software defined network system, which comprises a BGP proxy component, an SDN controller, a plurality of gateway devices not supporting a BGP protocol and computer nodes; the BGP proxy component is used for establishing a BGP session with the SDN controller and announcing routing information of the plurality of gateway devices to the SDN controller through the BGP session; the SDN controller is used for generating node-side data plane configuration information based on the received routing information and delivering the node-side data plane configuration information to the computer nodes; and the computer nodes are used for configuring a forwarding table and / or tunnel encapsulation parameters of a virtual switch on the nodes according to the received node-side data plane configuration information. The application reduces the complexity of networking.

The present application relates to the technical field of information security, and more particularly to a dynamic white list management method and system based on immune-Kalman collaborative evolution, which comprises the following steps: receiving the observation data of the service access request collected and sent by the edge access gateway; predicting and updating the state vector of the current service baseline through the Kalman filter state estimator to obtain the prior state prediction value and the prediction residual; dynamically adjusting the "self-non-self" judgment threshold of the immune system, if it is judged as self, the characteristics of the service access request are fed back to the Kalman filter state estimator as observation samples and updated; if it is judged as non-self, an isolation instruction is generated and sent to the software defined network controller, and a denial of access instruction is sent to the edge access gateway; based on the prediction residual and the comprehensive health degree index, the running state of the system is judged, and the corresponding matching strategy is selected from the preset white list matching strategy set and sent to the edge access gateway for execution.

The application provides a network deployment method, device, server and medium, and relates to the field of communication.The network deployment method comprises the following steps: obtaining a first service and a second service; calling a virtual infrastructure manager (VIM) and a software defined network (SDN) controller to create a first virtual router and a second virtual router; calling a security controller to create a virtual firewall in the case that the first service and the second service have security interaction requirements; calling the VIM, the SDN controller and the security controller to establish a first logical link and a second logical link; the first logical link is a logical link interconnecting the first virtual router and the virtual firewall, and the second logical link is a logical link interconnecting the second virtual router and the virtual firewall.In the embodiment of the application, the virtual routers of different services share the virtual firewall, so that the vFW resource occupation can be effectively reduced, and the network deployment cost is reduced.

Aspects of the subject disclosure may include, for example, receiving artificial intelligence (AI) analytics from a generative AI system, and based on the AI analytics, causing a software defined network (SDN) controller to identify a signaling path over a quantum signaling network, thereby enabling selection of a determined suitable path for quantum entanglement distribution. Other embodiments are disclosed.

A network system that facilitates financial transactions. A software defined network may operate to provide a variety of trading related services to a variety of customers with a low latency. Core or processor affinity for routing processes may improve speeds of routing. Data capture through a shared memory space may allow for a variety of analytics without introducing unacceptable delay.

A method of life-cycle management for a threat-detection-agent at a network gateway node includes providing an SDN including a data plane, control plane, and an application layer including a threat-detection-agent life-cycle-management-block, deploying, by the threat-detection-agent life-cycle-management-block, a threat-detection-agent, receiving, by the threat-detection-agent life-cycle-management-block a health-statistics report from the threat-detection-agent, determining, by the threat-detection-agent life-cycle-management-block based on the health-statistics report, whether first threat-detection-agent has failed, and deploying, by the threat-detection-agent life-cycle-management-block, another threat-detection-agent, subsequent to determining that the threat-detection-agent has failed. The method may terminate the threat-detection-agent. Life-cycle management method may be applied to a threat-detection-agent deployed in the control plane.

The application belongs to the technical field of network security operation and maintenance, network address translation monitoring, software defined network and intelligent operation and maintenance, and specifically discloses a firewall NAT policy automatic perception and port health degree closed-loop monitoring method and system based on SNMP MIB: the firewall NAT MIB is periodically collected through the SNMP protocol to obtain a current actual effective NAT entry set; the set is compared with a local monitoring configuration file to identify new and invalid entries, and an incremental update is performed on the configuration file according to a preset conflict arbitration strategy; the updated configuration file is read, survival detection is performed on a target port, and the result is pushed to a time sequence monitoring system. The application solves the problems of configuration drift, perception blind area and lack of closed-loop automation caused by the disconnection between monitoring configuration and NAT policy in the prior art, realizes automatic perception of NAT entries, incremental synchronization of configuration and closed-loop visual monitoring of port health degree, and improves operation and maintenance efficiency and monitoring accuracy.

The application relates to an intersatellite routing method and device based on a relay constellation system and communication equipment, wherein a main node serves as a routing controller of the whole network, the star topology characteristics of the constellation are fully utilized, and complex control logic is stripped from resource-limited network nodes and centralized. The design transforms a traditional peer-to-peer satellite network into a star network with a dynamic and single control plane. A dynamic main node centralized control mechanism dynamically binds a routing calculation function to a currently connected satellite, so that the satellite serves as a natural SDN (software defined network) controller, centralized intersatellite routing is realized, distributed protocol overhead is avoided, and the low overhead, high reliability and QoS guarantee requirements of a MEO constellation are met.

The application provides an SDN routing method based on a gated recurrent unit and a graph neural network, and relates to the technical field of computer network routing. The graph neural network is introduced to model the network; the attention mechanism is introduced to realize different weight aggregation of different neighbor information; the GRU and the attention mechanism are combined to propose a gated recurrent unit model based on the attention mechanism, and the gated recurrent unit model based on the attention mechanism is used to replace the traditional RNN recurrent unit in the graph neural network, so that the gradient disappearance problem of the RNN is solved, intelligent routing decision for the software defined network is realized, and the performance of the network is improved under the condition of large-scale network and increased traffic.

The present disclosure relates to apparatus, methods, and computer program products for efficient software-defined network acceleration processing using storage local to a host. A computerized system operating in conjunction with a computerized apparatus and a fabric target service in data communication with the computerized apparatus, the system comprising functionality resident on the computerized apparatus and functionality resident on the fabric target service, when operating in combination, enable the computerized apparatus to coordinate access to data.

Policies are defined for a container cluster that is configured by a first software defined network (SDN) controller cluster. A second SDN controller cluster for defining service policies that are not defined by the first SDN controller cluster receives, from a set of one or more adapters deployed in the container cluster for the second SDN controller cluster, resource identifiers for several resources of the container cluster. The second SDN controller cluster uses the resource identifiers to define a set of service policies. Then, the second SDN controller cluster distributes the set of service policies to a set of network elements to enforce the set of service policies on data messages associated with machines deployed in the container cluster configured by the first SDN controller cluster.

The application discloses a UAV edge computing intelligent service combination caching strategy based on a density peak clustering algorithm. Firstly, a heterogeneous computing architecture composed of vehicles, UAVs and cloud servers based on software defined network technology is constructed. Secondly, a density peak clustering algorithm for the intelligent service combination caching strategy is proposed. Finally, the intelligent service combination caching strategy problem is solved based on the SCCS algorithm, so that the best service combination caching strategy is obtained.

The application discloses a service demand-oriented dynamic QoS on-demand routing method, belongs to the field of industrial internet of things, and is based on a software defined network (SDN) control architecture, realizes adaptive routing optimization in an industrial internet scene through multi-dimensional state perception, dynamic weight generation, unified reward modeling and a deep reinforcement learning strategy. The method introduces a dynamic weight adjustment mechanism based on user portrait and a deep deterministic policy gradient algorithm with priority experience replay, so that the routing strategy can maintain stable and rapid convergence ability in a complex industrial environment, and can automatically match optimal dynamic quality of service (QoS) demand according to different service types, thereby effectively meeting the requirements of the industrial internet on high reliability, adaptive capability and intelligent network decision.

The application discloses a kind of based on switch migration SDN controller dynamic dormancy method, it is related to software defined network technical field, to solve the problem of frequent dormancy wake-up, unreasonable migration decision and energy consumption and performance imbalance in existing SDN controller dormancy scheme.The method first real-time acquisition controller operating state data, calculate current load rate by multidimensional weighted load model and collect historical data;Then adopt long short-term memory network (LSTM) to predict future load, combine current and predicted load to filter and verify the controller to be put into dormancy;Subsequently, the candidate controller is screened to form a collaborative decision domain, and the optimal target controller is determined based on a multidimensional scoring model and a switch migration scheme is developed;After completing switch migration according to the four-stage process, the controller to be put into dormancy is switched to the dormant state;At the same time, the active controller load is monitored in real time, and when overload occurs and cannot be relieved by active controller migration, the dormant controller is awakened and load balancing migration is performed.The application effectively reduces the number of active controllers, reduces the overall network energy consumption, improves resource utilization, and adapts to the dynamic changes of network traffic while ensuring the quality of service of the SDN control plane.