112 results about "Static routing" patented technology

The invention relates to the technical field of carrying equipment. The multi-platform compatibility optimization method and system for the carrying equipment controller are provided, and the method comprises the following steps: carrying out dynamic monitoring and topology analysis processing on a network node connection relationship of a carrying equipment cluster, and generating a dynamic network topological graph and a link state data set; performing training processing on the mapping relation between the network state and the protocol parameter, and generating a protocol parameter dynamic adjustment strategy and a protocol decision table; performing real-time switching processing on the cross-platform communication protocol stack to generate a control instruction data stream compatible with multiple platforms; performing dynamic updating processing on a reward function of the reinforcement learning model, triggering protocol parameter optimization to be executed again, and generating an iterative optimization protocol parameter dynamic adjustment strategy; the problems that topology awareness and dynamic response depended on by static routing are missing, protocol switching and compression ratio self-adaptive adjustment of network parameter solidification are invalid, and cross-platform instruction conflicts and transmission efficiency degradation of heterogeneous protocol adaptation are caused are solved.

The invention discloses a multi-node secure communication method and system based on quantum key distribution, and the method comprises the steps: evaluating multi-dimensional parameters of a quantum channel, dynamically updating a node reputation value, constructing a four-dimensional topological graph database, and generating candidate routing paths based on a Monte Carlo tree search algorithm; a state-action space is constructed by further combining reinforcement learning, and path selection is optimized by using a dual Q network and a priority experience playback mechanism; through multi-dimensional channel assessment and node reputation value dynamic updating, the defects of a traditional quantum network static routing strategy are overcome, the communication safety and efficiency are improved, and low-delay and high-reliability key distribution of a complex quantum network is supported.

The invention relates to the technical field of adaptive routing optimization, and particularly discloses a topology self-recognition and routing optimization method and system for a concentrator and a collector, and the method comprises the steps: carrying out the topology modeling of a multi-layer heterogeneous network; executing high-speed link state monitoring based on the initial topological graph; global loop detection and link optimization are completed based on the link state matrix; a weighted robust multi-dimensional path selection method is adopted to configure a main path and a standby path for each node; and monitoring the path state in real time and dynamically switching. In the prior art, a static route, a single protocol path or a fixed main and standby path is mainly adopted, and especially in a cross-protocol, cross-level and dynamic multi-node environment in a smart city, rapid path switching and high-reliability route redundancy guarantee cannot be realized. Due to the fact that the multi-dimensional path selection method and the cross-level and cross-protocol self-adaptive switching strategy are adopted, the problems of routing interruption and performance reduction are avoided, and the reliability of the whole network is improved.

The invention discloses a transmission path selection method and device based on reinforcement learning and electronic equipment, and relates to the technical field of big data, and the method comprises the following steps: obtaining node state information and link state information transmitted by each node in a target network topology, generating a routing selection action based on the node state information and the link state information, and sending the routing selection action to the target network topology; based on the node state information, the link state information and the corresponding route selection action, updating a target Q value table by adopting a reinforcement learning agent center; after a new route transmission request is received, based on the updated target Q value table, the reinforcement learning proxy center is adopted to select a target data transmission path for the current network node, and the target data transmission path is used for completing route transmission of a data packet in the new route transmission request. The technical problem that a static routing algorithm in the prior art lacks flexibility and cannot be adjusted in real time according to network topology and flow change is solved.

The invention belongs to the technical field of data circulation, and discloses a data circulation method and system based on a slice network and a trusted data space. Comprising the following steps: a connector obtains private network generation feedback to allow a user to access the connector through a corresponding slice private network on the basis of a pre-configured static route; obtaining a user credible voucher and an authentication message forwarded after addressing by the first router; verifying the user credible credential, analyzing the authentication message, and forwarding an obtained network attribute label to a network controller; and allowing the user to enter the trusted data space for data interaction through a second router when the user trusted certificate passes verification and the network attribute tag passes verification by a network controller. According to the invention, the security during data circulation is effectively improved.

The invention discloses an electric power communication optical network routing optimization method based on a DQN model, and the method comprises the following steps: S1, collecting the information of an electric power communication optical network, and building a state space, an action space and a reward function of the electric power communication optical network routing; s2, performing offline training on the DGQN model according to the state space, the action space and the reward function to obtain a trained DGQN model; and S3, optimizing a target electric power communication optical network route according to the trained DGQN model deployment, and updating model parameters through an online learning mechanism. According to the method, the adaptive learning capability of deep reinforcement learning is utilized, so that the routing decision can dynamically adapt to the continuously changing flow load and link state in the electric power communication optical network, the defect that a traditional static routing method cannot cope with a dynamic environment is overcome, and the response speed and stability of the network are improved.

The invention provides a communication method and device. According to the method, identification information is introduced to distinguish messages from different cloud platform systems. For example, the first identification information is identification information for identifying a first cloud platform system, and each cloud platform node in the first cloud platform system comprises the first identification information (so that a message sent by each cloud platform node also comprises the first identification information); therefore, which cloud platform system the node sending the message belongs to is distinguished through the identification information in the message. Moreover, the neighbor table entries used for normal communication of the nodes in the cloud platform system are configured as the static routing table, so that even if different cloud platform systems are intercommunicated and network address conflicts occur, the nodes in the same cloud platform system can still communicate normally based on the static routing table; and the problems of wrong data forwarding and service interruption among different cloud platform systems are avoided.

Techniques in dynamic routing for advanced deep learning provide improvements in one or more of accuracy, performance, and energy efficiency. An array of processing elements comprising a portion of a neural network accelerator performs flow-based computations on wavelets of data. Each processing element comprises a compute element enabled to execute programmed instructions using the data and a router enabled to route the wavelets via static routing, dynamic routing, or both. The routing is in accordance with a respective virtual channel specifier of each of the wavelets and controlled by routing configuration information of the router. The static techniques enable statically specifiable neuron connections. The dynamic techniques enable information from the wavelets to alter the routing configuration information during neural network processing.

The invention relates to a Redis cluster federated data routing method and device, equipment, a medium and a product, and the method comprises the steps: dividing a Redis cluster federated Hash slot, and obtaining a plurality of Hash slot directories; wherein each hash slot directory comprises a plurality of hash slots; constructing a static routing table; the static routing table is used for representing a first mapping relationship between each hash slot directory and each Redis cluster under a Redis cluster federation, and a second mapping relationship between each hash slot under each hash slot directory and a node in each Redis cluster; and when an operation request of a client for the first node is received, searching a routing path of the first node in the Redis cluster federation based on the static routing table, and forwarding the operation request to the first node according to the routing path, so that the first node executes a corresponding operation according to the operation request. According to the method and the device, efficient data routing and seamless extension of a large-scale Redis cluster federation can be realized, so that the performance and the operation and maintenance efficiency of the Redis cluster federation are improved.

The invention discloses a static UWSNs routing protocol optimization method and system based on convergence guidance, and relates to the field of routing protocol optimization. The method solves the problems of high-end-to-end time delay and low delivery rate caused by routing detour and routing circulation of an existing static topology UWSNs routing protocol, and comprises the following steps: establishing a forwarding path from a source node to a sink node based on a Q-Learning forwarding decision model; determining a node where a data packet is located in a protocol and a decision state of forwarding candidate node information according to whether completely shared parameters exist among the nodes, when the node needs to forward the data packet, calculating a Q value of each neighbor node, and selecting the neighbor node with the maximum Q value as a next hop forwarding target; and a convergence guide mechanism is constructed, a node forwarding decision model is allowed to generate a training reward based on convergence of position information of each node in a training process, a path for aggregating a data packet to a central node is generated, and static UWSNs routing protocol optimization based on convergence guide is completed.

The invention provides a method and a device for realizing a multi-operator exit network in a cloud network. The method comprises the steps that a virtual network controlled by a software defined network (SDN) controller is established, and software comprises a three-layer structure including a traffic control (TC) area, a network element service area and a resource access layer; establishing an address pool of a multi-line elastic public network EIP of a preset operator, and realizing a multi-exit deployment mode; a preset operator elastic public network EIP is bound for a preset network card to realize a scheme that a single cloud host provides multi-operator bandwidth externally, and an operator link is selected by configuring a static routing mode in the cloud host; based on a preset flow control strategy, network element and multi-operator exit background control is realized; based on a preset virtual machine in an operator network, obtaining a time delay condition of a network of a plurality of EIPs bound on a single virtual machine of each client, and realizing detection of an operator link; and according to the link delay or interruption condition, switching control of an operator link or an operator exit is realized.

The invention discloses a high-speed data transmission system based on a three-dimensional network-on-chip, and relates to the technical field of data transmission. In order to solve the problems of high diagonal communication delay, unreasonable node layout and poor heat dissipation of a traditional three-dimensional network on chip, the adopted scheme comprises a short connection 3D ScMesh topology module which is used for shortening the distance between nodes and reducing the communication delay through horizontal diagonal short connection and TSV vertical cross-layer interconnection on the basis of a 3D Mesh structure and matching an adaptive router and static routing algorithm; the SA-GA hybrid optimization algorithm module is used for completing position planning of the data acquisition nodes and the storage nodes through cooperation of SA and GA and finally realizing resource allocation optimization; and the layered heat dissipation layout module is used for deploying the storage nodes in a heat dissipation dominant area based on a heat distribution model, and solving the problem of heat accumulation of 3D NoC stacking. The method is suitable for scenes with high requirements on data transmission rate, delay and heat dissipation performance, such as a multi-core processor and a large-scale system-on-chip.

The invention discloses a cross-protocol interaction system and a cross-protocol interaction method. The cross-protocol interaction method comprises the following steps: creating a virtual network card and a static route indicating that the next hop of a data packet to be sent to a target local IP address in a Linux host points to the virtual network card in the Linux host; hijacking all outbound DNS requests in the Linux host and forwarding the outbound DNS requests to a target local port of the Linux host; capturing a target DNS request for analyzing the target domain name into a target IP address based on a second network protocol from a target local port, and forwarding a first data packet of a target server to be originally sent to the target IP address to the target local IP address by a target application program managing and controlling the target DNS request; obtaining a first data packet arriving at the virtual network card based on the static routing and forming a target data packet; and the cloud protocol conversion module converts the first data packet into a second data packet capable of accessing the target server of the target IP address according to the target data packet to access the target server.

The application provides a method and device for training and post-quantization of an image super-resolution model based on corrector routing, comprising: training a corrector group by using a gradient back propagation algorithm according to the weight increment, pre-training weight and quantization function of each corrector in the corrector group, obtaining optimized corrector parameters and quantizer parameters; based on the optimized corrector parameters and quantizer parameters, performing static weighting coefficient optimization on each quantization module by using a calibration image dataset, calculating an optimal weight increment according to the optimal static weighting coefficient, and generating a static routing table; enhancing the pre-training weight of the image super-resolution model by using the optimal weight increment, and calling each quantization module to pre-quantize the enhanced weight; and inputting a to-be-processed image into the model based on the pre-quantized weight for processing, and restoring a quality-enhanced image. In this way, the information loss caused by low-bit quantization is effectively reduced, and the ability of the quantized image super-resolution model to restore fine image details is significantly improved.

The invention discloses a routing request method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to a service request received in a current time window, acquiring flow index time sequence data of a historical service request and a service layer semantic feature and a network layer flow index feature of the service request in the current time window; determining a request traffic prediction result of the prediction interval according to the traffic index time sequence data of the historical service request; wherein the prediction interval refers to an interval of a preset duration after the current time window; determining a target computing node according to a request traffic prediction result of the prediction interval, a service layer semantic feature of the service request and a network layer traffic index feature; and routing the service request of the current time window according to the target computing node. According to the method, the limitation of static routing of a traditional gateway is broken through, intelligent upgrading of service semantic perception, future flow pre-judgment and dynamic resource allocation is realized, and the high-concurrency and low-delay requirements of a financial scene are accurately met.

The present application provides a network configuration method, apparatus, electronic device and storage medium. The method includes: creating a GRE tunnel between a first firewall device and a second firewall device; configuring a first virtual interface address for the first firewall device, and configuring a second virtual interface address and a third virtual interface address for the second firewall device; configuring a target static NAT mapping for the second firewall device, wherein the internal address of the target static NAT mapping is the IP address of the cloud security service, and the external address is the third virtual interface address; configuring the target static route of the second firewall device through the GRE tunnel interface to open up a path between the cloud security management platform and the cloud security service. This method can open up a network path between the cloud security management platform and the cloud security service without exposing the public network address of the cloud security service, thereby reducing the public network exposure of the cloud security service and improving the security of the cloud security service.

This invention discloses a communication configuration method, device, electronic equipment, and storage medium for differential protection of distribution network ring networks, belonging to the field of power automation technology. The method includes: disconnecting all differential protection circuits within the first target differential ring where the fault differential protection device is located; disconnecting the optical fiber link between the fault protection device and other differential protection devices; after replacing the fault differential protection device with a new differential protection device, restoring the optical fiber link between the new differential protection device and other differential protection devices; controlling the static routing table corresponding to the first target differential ring to be updated, setting the differential protection activation identifier of the first target differential ring in the static routing table, and the differential protection activation identifier of each differential protection device within the first target differential ring, to the corresponding activation status identifier. Therefore, by implementing this invention, the problems of existing technologies that rely on manual on-site parameter setting, resulting in high cost and low reliability can be solved.

The present invention discloses a method and apparatus for device traffic adjustment operations, wherein the method comprises: calling a circuit query interface to query specific circuit information based on device port information or circuit information inputted from a scene entry; judging whether the circuit is a resource within the adjustment processing range based on the configured circuit attributes or device attributes; if so, judging whether the circuit adopts a traffic adjustment method of adjusting the cost / metric value or a traffic adjustment method of adjusting the static routing entry; judging whether there is a processing record for the circuit to be adjusted, and if so, giving a prompt; if not, judging whether there is an unrecovered adjustment record for the circuit to be adjusted, and if so, performing a recovery operation; if not, performing an adjustment operation. When a port on the device fails, resulting in abnormal traffic, the method and apparatus can quickly perform real-time detection and dynamic judgment, thereby automatically performing a traffic switching operation.

This application relates to the field of automotive electronics technology and discloses a diagnostic route path determination method, apparatus, device, and readable storage medium. The method includes: acquiring a route path map of a target vehicle and performing delay detection on each route path in the route path map to determine a baseline delay for each route path; responding to a target diagnostic request for the target vehicle, determining a set of candidate route paths based on the target diagnostic request and the route path map; determining a predicted delay for each candidate route path based on the path state information and baseline delay of each candidate route path in the candidate route path set, and determining a target route path from the candidate route path set based on the predicted delay. By determining the predicted delay of each candidate route path and then selecting the target route path, the default route path in the static routing table is avoided, ensuring that the delay of the selected route path is optimal and improving data transmission efficiency during vehicle diagnostics.

The embodiment of the invention relates to a data acquisition method and device, equipment and a medium, and the method comprises the steps that a client side can actively combine data distribution information with network topology information in response to an acquisition instruction for target data in the operation process; the target data server which not only stores the target data but also has excellent communication quality is dynamically selected from a plurality of associated data servers, and then the target data server communicates with the target data server to obtain the target data. Thus, a traditional passive mode depending on back-end unified routing is abandoned, the problems of high delay, request failure and the like caused by a static routing strategy or blind forwarding are avoided, the response efficiency of data access, the system robustness and the service reliability are improved, and the overall user experience is optimized.

The invention relates to the technical field of electric power communication, and particularly discloses an automatic planning system for a substation communication routing path, which is used for solving the problem that the traditional substation communication routing mainly depends on a static routing strategy and is difficult to adapt to dynamically changing network environments such as line faults, bandwidth change and equipment damage. The problem that a shortest path algorithm and a large model technology are combined does not exist; according to the method, network topology structure data, node attribute data and link attribute data are extracted from a substation communication network, the shortest path between a source node and a target node is calculated by using a shortest path algorithm, a result is stored in a distance table, and a preliminary path is calculated through the parallel shortest path; and training a large model by using the marked data set, inputting the preprocessed data into the trained large model, obtaining a network state sensing result, and combining a shortest path calculation result and the network state sensing result to improve the intelligence of the substation communication network.

Provided in the present application are a communication method and an apparatus. The method introduces identification information to distinguish messages from different cloud platform systems, for example, first identification information is identification information for identifying a first cloud platform system, and each cloud platform node in the first cloud platform system comprises the first identification information (thus a message sent by each cloud platform node also comprises the first identification information), such that nodes that send messages can be distinguished, on the basis of the identification information in the messages, as belonging to which cloud platform system. In addition, neighbor table entries used for normal communication among nodes within the cloud platform systems are configured as static routing tables, even if different cloud platform systems are interconnected and network address conflicts occur, nodes within the same cloud platform system can still communicate normally on the basis of the static routing tables, thus avoiding the problems of data misrouting and service interruption between different cloud platform systems.

The embodiments of the present invention disclose a method, apparatus, device, and storage medium for forwarding service messages, belonging to the field of communication technology. The method comprises: a management and control system determines a target network element for the service message based on a service message containing network segment information sent when the current network element cannot forward the service message to the next-hop router; the management and control system determines the next-hop network element of the current network element based on the target network element of the service message; the management and control system generates a static route based on the next-hop network element, and sends the static route to the current network element so that the current network element forwards the service message to the next-hop network element based on the static route.

The present disclosure relates to a Redis cluster federation data routing method, device, equipment, medium and product, the method comprising: dividing the hash slots of the Redis cluster federation to obtain a plurality of hash slot directories; wherein each hash slot directory contains a plurality of hash slots; constructing a static routing table; the static routing table is used to represent a first mapping relationship between each hash slot directory and each Redis cluster under the Redis cluster federation, and a second mapping relationship between each hash slot under each hash slot directory and the nodes in each Redis cluster; when receiving an operation request of a client to a first node, finding the routing path of the first node in the Redis cluster federation based on the static routing table, and forwarding the operation request to the first node according to the routing path, so that the first node performs the corresponding operation according to the operation request. The present disclosure can realize efficient data routing and seamless expansion of large-scale Redis cluster federation, thereby improving the performance and operation and maintenance efficiency of the Redis cluster federation.

The application discloses a data transmission path regulation method based on an adaptive static and dynamic routing mechanism of a CXL.io protocol, a switch and a communication system. The data transmission path regulation method comprises the following steps: collecting link state data and uploading the same to an FM; integrating all the link state data and adding a label to each link; determining a first link information table and a second link information table; configuring static routing information in a DRT table of each level of switch and configuring dynamic routing information in the DRT table and a RGT table of each level of switch; uploading the first link information table and the second link information table to a data packet sending end respectively; and sending a data packet after the data packet is parsed by the data packet sending end. The data transmission path regulation method can realize dynamic adjustment and optimization of a data transmission path under the premise of supporting a static routing mode and a dynamic routing mode, and significantly improves transmission performance, resource utilization and service stability of the CXL.io protocol.

Novel tools and techniques are provided for implementing automatic loop testing. In various embodiments, a computing system may receive a request to test a network loop; may establish a static route to a target test device that is part of the network loop, the route comprising the network loop to the target test device and back; may execute an automated script to test the network loop, by: sending test data at a first rate to the target test device over the route; and applying a filter to the test data returning from the target test device over the route, the filter being configured to count packets of test data that has propagated over the route and compare with the sent packets of test data, and to drop the test data from continuing to propagate through the network loop; and may present results of the test of the network loop.

The invention relates to the technical field of computer network configuration, in particular to a configuration verification method and device for a coverage bearing layer network and electronic equipment, and the method comprises the steps: constructing a dependency process component for a routing instance and a routing protocol in each router, and constructing an integrated control plane model according to the dependency process component; performing iterative reasoning on the plane state of the model according to the definition semantics of the model, and stopping reasoning until the plane state of the model meets a preset stable state; calculating a dependency forwarding table of the routers according to a plane state of the model and direct connection routes and static routes of the routers, constructing a forwarding dependency graph according to a dependency relationship of forwarding behaviors between source pairs and destination pairs, and performing integrated reasoning on the forwarding dependency graph based on the dependency forwarding table of each router to obtain a forwarding dependency graph; and verifying the network configuration covering the bearing layer network according to the reasoning result. Therefore, the problems of poor expansibility, poor interpretability and the like in related technologies are solved.

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 application provides a routing information generation method and device and electronic equipment, and relates to the technical field of communication. The method comprises the following steps: acquiring an uplink message sent by a lower-hung device; judging whether a source IP address in the uplink message is a static IP address; when the source IP address is the static IP address, generating first routing information, the first routing information comprising an association relationship between the source IP address and a MAC address of the lower-hung device, and the first routing information being recorded in a static routing table. In this way, when the source IP address of the uplink message is the static IP address, the MAC address associated with a destination IP address in a downlink message can be found from the static routing table when the downlink message is sent, and then the downlink message is sent to the lower-hung device corresponding to the MAC address, the downlink data is forwarded, and thus the downlink data can be normally transmitted when the lower-hung device does not support or turns off a NAT function.

This application provides a method and apparatus for implementing a multi-carrier egress network in a cloud network. The method includes: establishing a virtual network controlled by a Software-Defined Networking (SDN) controller, wherein the software includes a three-layer structure: a traffic control (TC) area, a network element service area, and a resource access layer; establishing an address pool of pre-defined multi-line elastic public IPs (EIPs) for different carriers to achieve a multi-egress deployment mode; binding pre-defined network interface cards (NICs) to pre-defined carrier EIPs to enable a single cloud host to provide multi-carrier bandwidth, with static routing configured within the cloud host to select carrier links; implementing background control of network elements and multi-carrier egress points based on a pre-defined traffic control strategy; obtaining network latency information for multiple EIPs bound to a single virtual machine for each customer based on pre-defined virtual machines within the carrier network, thus enabling carrier link detection; and implementing carrier link or carrier egress switching control based on link latency or interruption.