21 results about "Core router" patented technology

The invention relates to the technical field of storage and calculation integration, in particular to a multi-core storage and calculation integration-oriented routing system and electronic equipment, the system comprises a plurality of storage and calculation integration cores, each storage and calculation integration core comprises a plurality of storage and calculation macro units, a plurality of direction output interfaces, an analysis network-on-chip and a router, and the storage and calculation macro units are bound with the direction output interfaces; the analysis network-on-chip analyzes the header information of the data packet to determine the target transmission direction of the data packet, and when the target transmission direction is the same as the position direction of the target core, the direction output interface outputs data to the target core; and the router is used for generating a target planning path according to the target transmission direction and the position direction of the target core when the target transmission direction is different from the position direction of the target core, and transmitting the data packet to the target core according to the target planning path. Therefore, the problems of congestion of high-parallel signal winding between the memory macro-cell and the route, blockage caused by improper matching of data transmission directions, low path planning efficiency and the like in the prior art are solved.

The invention discloses a traffic management method and system based on signal feature analysis, and relates to the field of traffic prediction.The method comprises the steps that traffic data corresponding to different hierarchy nodes in a target area are collected, and the different hierarchy nodes comprise a core router, a distribution switch and a user equipment terminal; performing signal feature analysis operation on the traffic data of each hierarchical node to obtain traffic feature information corresponding to each hierarchical node; performing traffic classification according to the traffic feature information corresponding to each hierarchical node to determine a traffic type and a traffic scale corresponding to the traffic type; acquiring a traffic prediction type and a traffic prediction scale corresponding to the traffic prediction type through a traffic prediction model according to the traffic type and the traffic scale corresponding to each hierarchical node; and adjusting a bandwidth allocation strategy and hierarchical node structure distribution according to the traffic prediction type and the traffic prediction scale corresponding to each hierarchical node.

The application provides a routing exception determination method and device and a storage medium, relates to the technical field of networks, and can reduce resource occupation for determining an abnormal routing instruction. The method comprises the following steps: in the case where there is an abnormal transmission interface in a plurality of transmission interfaces of a core router in a first time period, determining a second time period based on a center time of the first time period and a preset time length; acquiring a routing update instruction in the second time period and determining a transmission interface of routing information corresponding to the routing update instruction; the routing information comprises original routing information and / or routing update information obtained by performing routing update on the original routing information based on the routing update instruction; and in the case where there is an abnormal transmission interface in the transmission interface corresponding to the routing information, determining that the routing update instruction is an abnormal routing update instruction.

The invention discloses a flow load balancing network system and method, the system comprises a user autonomous domain and an operator autonomous domain, and the user autonomous domain comprises a core layer, a convergence layer and an access layer; the core layer comprises two core routers, a network management switch and a plurality of network management servers, is connected to a network of an operator and is used for being responsible for flow forwarding of a core network; the convergence layer comprises four convergence routers and is used for converging user traffic of the access layer and transferring the user traffic to the core layer; the access layer comprises a plurality of access switches and is used for forwarding access user traffic to the convergence layer; the core router communicates with the convergence router through an ISIS and communicates with the operation router through an EBGP protocol; the access switch is configured with transparent transmission and access of a VLAN (Virtual Local Area Network) and related ports; and designing a DMtwo traffic classification method to carry out classification and load balancing on traffic. According to the method, a DMtwo flow classification method is adopted, multi-outlet network flow load balancing is achieved, and the method has the advantages of dynamic adjustment and fine management.

The invention provides an implementation method for a large-scale test network, and relates to the technical field of computer networks, and the method comprises the steps: employing a static routing or IGP protocol at an edge, employing a VRF technology on a router, and achieving the deployment of a wide-area test network, the wide-area test network comprises a test router and a core router, segmenting the wide area test network into at least one core network slice by the VRF technology; when the user applies for the test, the test router is used for managing the core network slice, the access of the user equipment is completed, and the test is completed, and the access mode comprises static routing access and IGP access. By adopting the scheme, the construction of a large-scale test network is realized.

The invention relates to the technical field of network self-optimization management, in particular to a high-performance intelligent management method and system for network congestion self-optimization, and the method comprises the steps: obtaining a network topological graph, recognizing a plurality of key path nodes from the network topological graph, carrying out the collection module configuration of the key path nodes, obtaining configured nodes, and carrying out the collection module configuration of the configured nodes; obtaining node network parameters and node association influence characteristic values, determining root cause congestion nodes, recovered nodes or normal nodes, if the type of root cause congestion equipment is a core router, taking the root cause congestion nodes as path optimization nodes, performing routing path switching optimization operation on the path optimization nodes to obtain optimized nodes, and performing routing path switching optimization operation on the optimized nodes; and if the type of the root cause congestion equipment is network switching equipment, taking a root cause congestion node as a node to be subjected to load balancing, and performing load balancing optimization operation on the node to be subjected to load balancing to obtain an optimized node. According to the invention, the stability of network operation and the resource utilization efficiency can be comprehensively improved.

The invention relates to the technical field of network security, in particular to a method and device for detecting intranet external connection of a terminal and related equipment. The method is applied to scanning equipment in an intranet, and comprises the following steps: sending a first message of which a source address is a scanning equipment address and a destination address is a target terminal address and a second message of which a source address is a preset extranet address and a destination address is the target terminal address to a to-be-detected target terminal; and if it is judged that a first response of the target terminal based on the first message response is received within a preset message timeout duration, and a second response of the second message response is not received, determining that the target terminal is an intranet external connection terminal, the default route configured on the target terminal is a route forwarded to a core router in the intranet, and the core router mirrors the received traffic message to the scanning device.

The invention discloses a virtual management network construction method and system in a network target range. The method comprises the following steps: creating an external management network switch and an external core router; creating an internal service network switch of the topology instance; internal management network switches of the topology instance are created, each internal service network switch corresponds to one internal management network switch, and each internal management network switch corresponds to one virtual configuration acquisition agent node and one flow generator; creating an internal core router according to the number of nodes accessed by the internal management network switch; a port where the internal core router and the external core router are connected starts the SNAT, and the internal management network switch sets an ACL rule. According to the invention, the signaling flow is completely separated from the direct service flow network route of the service node in the target range topology instance, the receiving and responding efficiency of the signaling flow is improved, and the load balancing is realized.

Provided is an analysis device (10) wherein a collection unit (15a) collects flow information (14a) indicating the content of traffic that has passed through each edge router from a core router (C) which integrates the edge routers. An analysis unit (15b) analyzes a failure status by using the collected flow information (14a) and connection relationship information (14b) indicating the connection relationship between devices in a network.

The present invention discloses a method and system for constructing a virtual management network in a network range. The method comprises: creating an external management network switch and an external core router; creating an internal service network switch of a topology instance; creating the internal management network switch of the topology instance, each internal service network switch corresponding to an internal management network switch, each internal management network switch corresponding to a virtual configuration collection agent node and a traffic generator; creating an internal core router according to the number of nodes accessed by the internal management network switch; enabling SNAT on the port connecting the internal core router and the external core router, and setting ACL rules on the internal management network switch. The present invention completely separates signaling traffic from the direct service traffic network routing of the service nodes in the range topology instance, improves the efficiency of receiving and responding to signaling traffic, and achieves load balancing.

The application discloses a flexible online routing method and device based on a graph neural network, and belongs to the technical field of next-generation Internet system; the method comprises the following steps: constructing an agent corresponding to a routing device in a network, and defining a first reward function and a second reward function of the agent; constructing a GNN model on a core router, and training the GNN model by using a first network data set to obtain a pre-trained GNN model; calculating a reward value of a first routing scheme by using the first reward function to train the agent to obtain a pre-trained agent; calculating a reward value of a second routing scheme by using the second reward function, and fine-tuning parameters of the pre-trained agent according to the reward value of the second routing scheme; updating parameters of the pre-trained GNN model according to a second network data set, and updating a weight coefficient of the second reward function according to a performance index predicted by the pre-trained GNN model to train the fine-tuned agent. The application can enable routing devices to flexibly select routing and optimize strategies.

The invention discloses network element equipment and a data transmission method, and relates to the technical field of Internet. The network element equipment comprises a first board card, a second board card and a third board card, the first board card is respectively connected with the second board card and the third board card; the first board card has the function of an optical line terminal and is used for connecting the core router; the third board card has the function of a broadband access server; and the second board card is used for connecting the optical network unit. According to the scheme disclosed by the invention, the construction cost and the operation and maintenance cost of the broadband network can be reduced.

Aspects of the subject disclosure may include, for example, detecting whether a bandwidth capacity loss occurs on a first link bundle connecting one or more first core routers of a core Interior Gateway Protocol (IGP) network with one or more first provider routers, resulting in a detected capacity loss, wherein communication between the one or more first core routers of the core IGP network and the one or more first provider routers utilizes a Border Gateway Protocol (BGP), wherein a second link bundle connects one or more second core routers of the core IGP network with one or more second provider routers, and wherein communication between the one or more second core routers of the core IGP network and one or more second provider routers utilizes the BGP; responsive to the detected capacity loss, automatically increasing a cost associated with selected network traffic that was to be carried between the one or more first provider routers and the one or more first core routers of the core IGP network and that will instead be re-directed for communication via the second link bundle; and causing communication via the second link bundle of the selected network traffic, wherein the communication via the second link bundle of the selected network traffic is between the one or more second provider routers and the one or more second core routers of the core IGP network. Other embodiments are disclosed.

The invention provides a bearer network bandwidth configuration method and device, equipment, a storage medium and a product, and the method comprises the steps: according to a flow velocity current value of a flow exit network device of a metropolitan area network core router MB in a current period and a flow velocity prediction value of the flow exit network device of the MB in a next period in a to-be-configured region, carrying out bandwidth configuration according to the flow velocity current value of the flow exit network device of the MB in the to-be-configured region; determining a flow rate increasing coefficient of the flow outlet network equipment of the MB in the next period of the to-be-configured area; according to the flow rate increasing coefficient and a negative feedback correction coefficient of the flow outlet network equipment of the MB in the next period, determining a bandwidth increasing coefficient of the flow outlet network equipment of the MB in the to-be-configured area in the next period; and obtaining a target bandwidth configuration value of the traffic exit network equipment of the MB in the next period of the to-be-configured area according to the bandwidth current situation value and the bandwidth increase coefficient of the traffic exit network equipment of the MB in the current period of the to-be-configured area. The flexibility and accuracy of resource configuration are realized, and the increase and change of the service flow rate are effectively coped with.

The present disclosure relates to a method and apparatus for identifying illegal broadband access. A method for identifying illegal broadband access is provided, comprising: obtaining, by a computing terminal, an HTTP request message in a GET mode from a source IP address associated with a specific user from a core router; analyzing, by the computing terminal, the obtained HTTP request message to count the number of different destination IP addresses contained in the HTTP request message per unit time; comparing, by the computing terminal, the number of different destination IP addresses with a threshold; and in response to determining that the number of different destination IP addresses is greater than the threshold, the computing terminal identifies that the specific user has illegal broadband access behavior.

The application provides a kind of bearer network bandwidth configuration method, device, equipment, storage medium and product, comprising: according to the flow rate current situation value of the traffic outlet network equipment of the metropolitan area network core router MB in current period and the flow rate predicted value of the traffic outlet network equipment of the MB in next period in the region to be configured, determine the flow rate growth coefficient of the traffic outlet network equipment of the MB in next period in the region to be configured;According to flow rate growth coefficient and the negative feedback correction coefficient of the traffic outlet network equipment of the MB in next period, determine the bandwidth growth coefficient of the traffic outlet network equipment of the MB in next period in the region to be configured;According to the bandwidth current situation value of the traffic outlet network equipment of the MB in current period and bandwidth growth coefficient in the region to be configured, obtain the target bandwidth configuration value of the traffic outlet network equipment of the MB in next period in the region to be configured.It realizes the flexibility and accuracy of resource configuration, effectively cope with the growth change of service flow rate.

The present invention discloses a method for locating a network packet loss fault point and analyzing the cause of the fault, wherein the method includes: a user reports a fault source address and a fault destination address; logging into a provincial network core router, and querying the local access routers corresponding to the fault source address and the fault destination address on the network according to the routing information on the device, wherein the local access router corresponding to the fault source address is recorded as routing device A, and the local access router corresponding to the fault destination address is recorded as routing device B; performing fault point judgment; fault cause analysis; outputting the fault point, fault cause analysis or processing suggestions, and operation logs during the fault judgment process. The present invention provides a method for locating a network packet loss fault point and analyzing the cause of the fault, which can quickly locate the fault point through simple and efficient automated processing means, and gives possible fault causes or processing suggestions through a variety of combined testing means, covering common fault scenarios under network packet loss or unreachable conditions.

The present invention relates to the field of network security technology, and more particularly to a network flow watermark detection method and system based on abstract feature extraction. A watermark generation and injection module is deployed on the border routers of an internal network to inject watermarks into all incoming traffic. A fast binary comparison and filtering module, an abstract feature extraction module, and a support vector machine algorithm are deployed on the core routers of the internal network. The fast binary comparison and filtering module performs preliminary screening on all traffic flowing through the core routers to quickly identify traffic that may contain watermarks. The abstract feature extraction module extracts multi-dimensional abstract features from the rapidly filtered traffic, and these features together form a multi-dimensional feature vector. The support vector machine algorithm performs a final classification of traffic based on the extracted multi-dimensional feature vector to determine whether a watermark exists in a particular session's traffic. The present invention improves detection efficiency and robustness to network interference, and has high detection precision and accuracy.

The application provides a large-scale test network implementation method, and relates to the technical field of computer networks, and the method comprises the following steps: using static routing or an IGP protocol at the edge, using VRF technology on a router, and implementing deployment of a wide-area test network, wherein the wide-area test network comprises a test router and a core router, and the VRF technology divides the wide-area test network into at least one core network slice; when a user applies for a test, the core network slice is managed by the test router, the access of a user equipment is completed, and the test is completed, wherein the access mode comprises static routing access and IGP access. The application implements the construction of a large-scale test network by using the above scheme.

The invention relates to the technical field of network security, in particular to a network flow watermark detection method and system based on abstract feature extraction, and the method comprises the steps: deploying a watermark generation and injection module on a boundary router of an internal network, so as to carry out the watermark injection of all network access flows; a fast binary comparison filtering module, an abstract feature extraction module and a support vector machine algorithm are deployed on a core router of the internal network; the fast binary comparison filtering module is used for preliminarily screening all the flows flowing through the core router and quickly identifying the flows possibly containing watermarks; the abstract feature extraction module is used for extracting multi-dimensional abstract features from the rapidly filtered flow, and the features jointly form a multi-dimensional feature vector; and finally classifying the flow according to the extracted multi-dimensional feature vector by a support vector machine algorithm, and determining whether the watermark exists in the flow of a certain session. According to the method, the detection efficiency and the robustness to network interference are improved, and the method has relatively high detection precision and detection accuracy.

Aspects of the subject disclosure may include, for example, detecting whether a bandwidth capacity loss occurs on a first link bundle connecting one or more first core routers of a core Interior Gateway Protocol (IGP) network with one or more first provider routers, resulting in a detected capacity loss, wherein communication between the one or more first core routers of the core IGP network and the one or more first provider routers utilizes a Border Gateway Protocol (BGP), wherein a second link bundle connects one or more second core routers of the core IGP network with one or more second provider routers, and wherein communication between the one or more second core routers of the core IGP network and one or more second provider routers utilizes the BGP; responsive to the detected capacity loss, automatically increasing a cost associated with selected network traffic that was to be carried between the one or more first provider routers and the one or more first core routers of the core IGP network and that will instead be re-directed for communication via the second link bundle; and causing communication via the second link bundle of the selected network traffic, wherein the communication via the second link bundle of the selected network traffic is between the one or more second provider routers and the one or more second core routers of the core IGP network. Other embodiments are disclosed.