56 results about "Network routing" patented technology

The application discloses a kind of computing power network green space-time task scheduling and mixed energy collaborative optimization method.The steps are as follows: one, establish the computing power network system model of fusing computing resources, network routing resources and mixed energy, construct multi-objective joint optimization problem;Two, model the problem as a Markov decision process, define the state space containing task, network and energy state, and the action space composed of computing power node selection, routing path selection and forwarding time;Three, use the integrated deep reinforcement learning framework, configure multiple intelligent agents with different preference weights for parallel training, to achieve the best balance between quality of service and carbon emissions;Four, according to the integrated strategy of complete training, combined with the real-time input task flow and carbon emission intensity, output the optimal space-time scheduling decision and energy storage charging and discharging strategy.

The application provides a power deterministic network routing and packet scheduling method and system, the method comprising: determining the feasible path set from the source to the destination node for each deterministic flow according to the network and traffic model; constructing the three-dimensional scheduling variable consisting of the path, time offset and CSQF period specification set for each flow; jointly solving the three-dimensional variable of each flow to obtain the routing and packet scheduling scheme satisfying the resource, sending, delay and period constraint with the minimum objective function, the objective function being used to realize the double load balancing of the link and period window; and calculating the network remaining resource based on the obtained scheme and allocating the transmission resource for the non-deterministic flow according to the network remaining resource. Through the three-dimensional joint scheduling of the routing, time and period and the double load balancing of the link and window, the application can significantly reduce the jitter under the strict delay constraint, effectively improve the network resource utilization and the reliability of the deterministic service.

Systems, methods, and devices for offloading network data to a datastore. A system includes a publisher device in a network computing environment. The system includes a subscriber device in the network computing environment. The system includes a datastore independent of the publisher device and the subscriber device, the datastore comprising one or more processors in a processing platform configurable to execute instructions stored in non-transitory computer readable storage media. The instructions includes receiving data from the publisher device. The instructions include storing the data across one or more of a plurality of shared storage devices. The instructions include providing the data to the subscriber device.

The present disclosure proposes a communication method and a distributed system for distributed training of mixed expert models. The method comprises: collecting gating network routing decision information corresponding to each input data; generating mapping information for each input data to be transmitted according to the deployment information of the expert module and the collected gating network routing decision information, wherein the mapping information is used to indicate the reading position of the input data in the sending end buffer and the writing position in the receiving end buffer; and performing a communication operation based on the mapping information to send the input data to be transmitted to the corresponding expert module. By introducing the mapping information for indicating the address relationship of the input data in the memory in the communication operation, the data rearrangement is synchronized in the communication process, thereby realizing the cooperative execution of the communication path and the data layout. Further, a two-stage mapping structure across machines and within machines can be constructed to realize efficient training based on topology hierarchical communication.

The present application belongs to the technical field of network system management, and specifically discloses a shortest path routing search method, system, device and storage medium, which performs traversal search on a target network by using a breadth-first traversal algorithm, obtains a traversal search result, constructs a network topology graph, then determines all paths from an initial node to a terminal node, calculates the initial hop count of each path, and then judges whether there is a node corresponding to a same-machine-room device in each path, if there is, the hop count between the nodes corresponding to the same-machine-room device is cleared, if not, the original hop count is maintained, and the optimized hop count of each path is obtained again, and the path with the smallest optimized hop count is taken as the shortest path. The present application optimizes the network routing path, selects the shortest path, is more in line with the actual characteristics of the network system, saves the network optical cable resources in the same machine room, can efficiently and accurately construct the network topology graph, and improves the network system management efficiency.

This invention belongs to the field of natural language processing and dialogue emotion recognition, specifically involving an emotion classification method based on a hybrid expert model and a large-scale model collaboration. The method first encodes the dialogue text to construct basic features. Then, it extracts semantic, contextual, and knowledge-enhanced features through heterogeneous expert networks, and uses a dynamic routing gating network to weightedly fuse the features output by different experts, forming a unified emotion feature representation. Next, this feature representation is mapped to a soft cue vector, concatenated with the word embedding sequence of the original text, and input into a pre-trained large-scale model for emotion inference. During the training phase, cross-entropy loss is used as the target, updating only the parameters of the expert network, routing gating network, and soft cue mapping network, achieving efficient end-to-end parameter training. This invention significantly improves the accuracy of emotion classification by fusing multi-dimensional features and combining the common-sense reasoning ability of a large-scale model, while also achieving higher training efficiency.

The application relates to the technical field of software-defined wide area network and discloses a multi-link global routing method and system based on dynamic policy linkage, which is applied to an SD-WAN controller and used for solving the technical limitation problem that in a traditional SD-WAN routing method, decision basis is limited to a current state and policy rules are statically fixed. The method generates a predicted value and a confidence evaluation of future performance of a link through a time series prediction model; based on the confidence evaluation, historical, current and future state information is dynamically fused to form a link quality trend value; and the confidence evaluation is used to dynamically modulate the validity degree of a multi-dimensional service policy weight in evaluation; finally, path selection probability distribution is obtained through iterative optimization, and an optimal path is selected according to a service type for forwarding, so that routing decision is upgraded from static rule response to dynamic optimization based on risk perception, and the foresight, intelligence, stability and adaptive robustness of network routing decision in a complex dynamic environment are significantly improved.

The application discloses a kind of high reliability and flexibility routing methods for strong confrontation self-organizing network, mainly solve the problem of low business delivery rate and slow routing convergence speed in strong confrontation scene using traditional routing algorithm.The implementation scheme is divided into topology control and routing two parts:Among them, routing includes: using the node information obtained by topology control to complete the routing discovery process, and constructing the whole network routing table;Through routing-topology joint, periodic and active two ways are used to jointly maintain the whole network routing table.Topology control includes:1) constructing the network topology structure of bidirectional link;2) maintaining one-hop routing table according to logical neighbor list;3) repeating 1)-2) until the network stops running.The application can maintain high end-to-end business delivery rate in strong confrontation scene, quickly complete the routing discovery process, improve the routing convergence speed, improve the stability and reliability of path, and can be used for mobile self-organizing network business data transmission.

This invention provides a dynamic network routing optimization method and system based on deep learning prediction, comprising: constructing a graph network with heterogeneous nodes based on network topology and traffic; generating a large number of network traffic performance indicators based on queuing theory algorithms based on the heterogeneous graph information; pre-training a deep learning model based on the heterogeneous graph network and network traffic data with pseudo-labels; fine-tuning the model by combining a small amount of network traffic data with real labels; selecting a better-performing routing optimization scheme using the trained network prediction model; and a dynamic network routing system in which a global monitoring device calculates and distributes routing optimization results to different forwarding devices based on the current network topology, traffic data of different forwarding devices, and the performance prediction model. This invention uses weakly supervised learning and pre-training fine-tuning methods to build a reliable network performance prediction model with low data cost and designs a routing optimization method to meet real-time dynamic routing strategies.

Load balancing operations between network devices to perform DPI operations are provided herein. Network devices of a virtualized network device arrangement may load balance network traffic by employing a network link between the network devices to exchange data packets for DPI operations. Further, the network devices may employ dedicated CPUs to offload DPI operations. In this manner, the current techniques may enable preservation of pre-existing networking routing or deterministic routing to be performed on-the-fly by enabling DPI to be performed without constraining network traffic flows to a specified route.

This invention relates to the field of network routing optimization technology, specifically to a network path optimization method, apparatus, electronic device, and storage medium. In this invention, by synchronously monitoring bit rate and packet rate load, and using the higher of their utilization rates as the criterion for link congestion judgment, the limitations of traditional single-indicator evaluation are effectively overcome, enabling cost calculation to more comprehensively and accurately reflect real-time link congestion risk. Through a cost coefficient mapping mechanism, and combined with a baseline link cost to determine dynamic link costs, real-time and accurate input is provided to the path optimization algorithm, resulting in significant optimization of the overall network in terms of throughput and transmission latency. This is particularly suitable for high-reliability industrial scenarios sensitive to jitter.

Data Processing Device for Secure Network Routing and Communication Monitoring

This invention relates to optical switch network chips, specifically to an optical switch network chip with multi-wavelength routing capabilities and an optical signal routing method, to address the shortcomings of existing wavelength-routing optical switching network schemes, such as system complexity, large chip area, and crosstalk superposition. The optical switch network chip of this invention with multi-wavelength routing capabilities is used to realize the routing and switching of multi-wavelength optical signals. It includes an input port, an output port, multiple wavelength-routing optical switch units sequentially arranged between the input and output ports, and multiple waveguide interconnect networks connecting adjacent wavelength-routing optical switch units. Each wavelength-routing optical switch unit includes multiple wavelength-selective optical switches for wavelength selection and output, ultimately enabling optical signals input at any input port to alternately pass through multiple wavelength-routing optical switch units and multiple waveguide interconnect networks, and be routed to any output port.

The application discloses a routing forwarding method and device, and relates to the technical field of network routing. The specific implementation of the method comprises the following steps: receiving one or more communication requests; wherein the communication request comprises a destination IP address; matching the value of each field of the destination IP address with the array element value of each index table in a routing database step by step, and determining the matching result of each field; wherein the matching result comprises the same, different or empty; in the case that the matching result is different, determining a target index table corresponding to the matching result; generating a target route according to the target index table and the matching array of at least one index table before the target index table, and forwarding the communication request by using the target route. The implementation can quickly and accurately match the target route, improve the routing selection and forwarding efficiency, and improve the data transmission efficiency.

1. The name of the design product: Routing box (NRTK). 2. The use of the design product: The design product is used for the routing box of the mowing robot positioning. 3. The design points of the design product: The shape of design 1, the combination of the shape and color of design 2. 4. The picture or photo that best shows the design points: Design 1 perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: The design 2 requested protection includes color.

A network device includes a processor and a non-transitory computer-readable storage medium storing logic executable by the processor to perform operations. The operations include receiving, from a second network device, an advertisement for a subnet and a first value of an inbound path preference attribute of a routing protocol; determining a link speed of a link between the network device and a third network device; determining a second value of the inbound path preference attribute based on the received first value and the determined link speed; advertising the subnet to the third network device in association with the second value of the inbound path preference attribute; and routing a data packet from the third network device to the second network device in accordance with a routing table comprising a routing entry based on the first value of the inbound path preference attribute.

This invention discloses an inter-satellite routing method and system based on hop count priority and load awareness, primarily addressing the problems of unreliable long-distance service transmission latency and unbalanced inter-satellite service load in existing technologies. The method includes: dividing satellite operating time into consecutive equal-length slices and executing tasks on a single time slice period; predicting ground traffic for the next time slice and generating a transmission demand matrix for ground traffic services in the next time slice; predicting the topology map of the next time slice based on satellite orbit ephemeris, and calculating the minimum hop count between the source and destination nodes of all services on this map; sorting the service transmission demands according to the minimum hop count and service transmission traffic to obtain a service transmission demand queue, and sequentially extracting the service with the maximum hop count to calculate its optimal path, updating the link weights of the topology map according to the traffic load of this service; and converting the calculated path set into a routing instruction set, which is then sent to the routing control layer to guide service forwarding. This invention offers low long-distance service transmission latency, balanced inter-satellite service load, and high inter-satellite service transmission reliability, making it suitable for large-scale inter-satellite network routing scenarios.

The invention discloses an air-sea cross-domain network routing protocol method based on fuzzy logic and learning optimization, which belongs to the technical field of air-sea cross-domain network communication, and comprises the following steps: taking each node in a network as an independent agent, and constructing a candidate forwarding set by maintaining neighbor node information to reduce an action space; a fuzzy inference system is introduced, a reward function is designed by integrating a residual energy factor, a node forward factor and a link quality factor, an algorithm iteration update value is combined, an optimal next-hop node is selected to complete data packet forwarding, and a forwarding failure reselection mechanism is set. According to the method, the data packet delivery rate is remarkably improved, the end-to-end delay is reduced, the network life cycle is prolonged, and the method is suitable for high-reliability data transmission in a complex air-sea cross-domain environment.

The present disclosure provides a chip electrostatic discharge violation verification repair method and device, electronic equipment and storage medium, which simplifies the full-chip netlist data selectively, retains only the logic circuits with ESD risks, extracts the module layout information, imports the power domain area, and performs top-level power / ground network routing based on the simplified layout data, to construct simplified full-chip layout data that can be used for ESD protection verification in advance, so that the ESD protection verification work can be carried out in parallel with the module layout and routing work, ESD violation problems can be found and fed back in advance, the iteration and repair time window of ESD protection design is increased, the time and computing resources required for single verification are reduced, and the overall efficiency of full-chip ESD protection verification and violation repair is improved.

The application discloses a kind of air-sea cross-domain network routing protocol methods based on fuzzy logic and learning optimization, belong to air-sea cross-domain network communication technical field, including: each node in network is regarded as independent intelligent agent, and candidate forwarding set is constructed by maintaining neighbor node information to narrow action space;Introduce fuzzy inference system, design reward function by comprehensively remaining energy factor, node advance factor and link quality factor three factors, update value by combining algorithm iteration, select optimal next hop node to complete data packet forwarding, and set reselection mechanism for forwarding failure.The present application significantly improves the data packet delivery rate, reduces end-to-end delay, while prolonging the network life cycle, suitable for high reliability data transmission in complex air-sea cross-domain environment.

A system for implementing a multiplane network comprises a network device including a plurality of switches for routing traffic to an endpoint through a network of other switches. Each switch in the plurality of switches corresponds to a different plane of the multiplane network. The system includes one or more circuits that manages the plurality of switches as a single logical entity.

The application relates to a cross-network message pushing method based on a strategy model and belongs to the technical field of computer networks. The application establishes node management, engine management, route management and application management aiming at a cross-network strategy model, establishes a cross-network route model in combination with cross-network, cross-center and cross-system application scenes, shields cross-network link construction in complex scenes only by configuration of the strategy model, solves the interconnection and interworking of various service systems in service and a system application difficulty, and achieves out-of-box use. The application can realize end-to-end message sending only by simple registration and configuration in scenes where different networks, different centers and different systems cannot directly interact.

A method of providing user data privacy for smart devices in a user's home uses a network of smart home routers to route encrypted data packets from the smart devices instead of sending them directly to a cloud-based service. An onion routing network for protecting the privacy of smart devices uses a plurality of smart home routers and an allowlist of domains accessed by smart devices to decide which data packets are routed through the network.

This invention relates to the field of communication network technology, specifically disclosing a dynamic link quality sensing and optimization system and method in a mesh topology. The optimization system includes: a round-trip time (RTT) sampling module for acquiring the RTT values ​​of each communication route link between the originating end and the target receiving end in the mesh topology; and a routing selection module for calculating the cost of the corresponding communication route links based on each set of RTT values, dynamically selecting communication route links with low-latency links as the preferred selection criterion. This invention measures the RTT of different routing paths between the originating end and the target receiving end in a mesh topology and uses the Babel routing protocol to select low-latency links as the preferred selection criterion, thereby dynamically optimizing the quality of each communication route link in a mesh topology communication network based on the Babel routing protocol. This effectively improves the accuracy of routing path optimization and the quality of communication route links in the communication network.

The present disclosure provides a network routing processing method, related devices and media. The method comprises: determining a plurality of connection paths between a first network device and a second network device; for each switching node on the connection path, obtaining a set of out-port numbers corresponding to the out-ports of the switching node; for each switching node in the switching network, the available port numbers in the set of available port numbers are assigned to the out-ports of the switching node in advance, and the available port numbers assigned to each out-port form an out-port number set; generating a candidate port number set based on the intersection of the out-port number sets of the switching nodes on the connection path; sending a first probe packet with a candidate port number in the candidate port number set as a source port number, obtaining a probe result, and determining a target path to the second network device based on the probe result. The present disclosure can improve the data transmission efficiency between network devices. The present disclosure can be applied to various scenarios such as computers, artificial intelligence, cloud technology, etc.

The application discloses a kind of main and backup routing methods of node trust degree evaluation and interruption adaptation in robot group coordination, the method includes: source node initiates routing request broadcast, and available path from source node to destination node is obtained by adaptive broadcast forwarding strategy;Afterwards, destination node carries out routing reply according to reverse path transmission;If the routing establishment from source node to destination node is successful, then enter the routing decision module based on Q learning algorithm;If the routing decision result selects main routing transmission strategy, then destination node enters trust degree evaluation module, interruption adaptive credible path or no credible path transmission module;If the routing decision result selects backup DTN (Delay Tolerant Networks, time delay tolerance network) routing transmission strategy or routing establishment is not successful, then destination node enters Prophet routing module;Through the main and backup routing methods of node trust degree evaluation and interruption adaptation in robot group coordination provided by the application example, the robustness and robustness of data transmission are improved.

The present disclosure relates to a communication method, a communication device, a communication system, a storage medium and a program product. The method comprises: sending a key request to a second network element of a first core network; and receiving a key response sent by the second network element of the first core network, wherein the key response comprises a first key, and the first key is used to protect the security of a PDU session, and the PDU session is a session between a terminal and a third network element of the first core network. Through the scheme of the present disclosure, the security of the PDU session in the cross-network routing scenario can be improved.

Load balancing is provided between network devices to perform DPI operations. Network devices in a virtualized network device array can balance network traffic by using a network connection between the devices to exchange data packets for DPI operations. Furthermore, the network devices can use dedicated CPUs to offload DPI operations. In this way, the techniques presented allow existing network routing or deterministic routing to be maintained, enabling DPI to be performed on the fly without restricting network traffic to a specific route.