606 results about "Routing table" patented technology

The systems and methods disclosed herein orchestrate task execution among autonomous (or semi-autonomous) AI agentic models (“agents”) using a gateway router that dynamically coordinates the agents based on prompt characteristics, user context, and / or real-time operational factors. Received inputs (e.g., prompts) are segmented into subcomponents (e.g., sub-queries), which are routed / mapped to candidate agents based on the output parameters of the subcomponent (e.g., performance thresholds, cost thresholds) and operational parameters (e.g., cost, performance metric values, user access restrictions, timing restrictions) of each agent. The gateway router maintains dynamic routing data structures for each agent that are continuously updated based on environmental stimuli (e.g., geo-political stimuli, sensor stimuli, agent stimuli). For example, the gateway router causes agents to dynamically switch between rule engines identified by the routing tables in response to detecting environmental stimuli. Responses from the candidate agents are aggregated into an output that is responsive to the input.

Technologies for creating an optimized and accelerated network pipeline using a virtual switch and a network pipeline abstraction layer (NPAL) for fast link recovery are described. The virtual switch can monitor a link availability of each of a plurality of links to a destination, the plurality of links being specified in an initial group of identifiers. The virtual switch can detect a link failure of a first link of the plurality of links. The NPAL can remove a first link identifier, associated with the first link, from the initial group of link identifiers to obtain a modified group of link identifiers. The NPAL can cause a routing table in the NPAL to be updated to remove the first link identifier. The acceleration hardware engine can process network traffic data using the network pipeline and distribute the network traffic data to only the remaining links of the plurality of links.

The invention relates to a PLC-bridging gateway internet-of-things automatic identification method, system and device and a medium. The method comprises the following steps: sequentially sending handshake detection signals to a plurality of PLC devices and receiving response messages; forming a candidate handshake data combination set, and completing handshake matching through a priority algorithm and an adaptive polling mechanism; verifying the response frame, analyzing the equipment information, and confirming the active state and communication parameters of the PLC equipment; generating a drive binding strategy according to a matching result, and distributing a session identifier for the drive binding strategy; generating a session identifier of the target PLC equipment, and updating a session routing table in the bridging gateway; and translating the industrial data collected by the target PLC device into an Internet of Things protocol data packet and uploading the Internet of Things protocol data packet to a cloud data center. According to the invention, automatic identification and rapid adaptation of various interfaces and protocols can be realized; the communication stability and real-time performance are improved through dynamic scheduling and route updating; uniform data uploading is supported, and efficient deployment of cloud analysis and the industrial Internet of Things is facilitated.

The invention provides a system and a method for generating CAN (Controller Area Network) mailbox configuration and data routing configuration based on a communication matrix table. The method comprises the following steps of: reading a predefined finished automobile CAN communication network signal routing information table; analyzing the whole vehicle CAN communication network signal routing information table to obtain CAN communication configuration parameters of each CAN channel; the number of receiving mailboxes and the number of sending mailboxes of each CAN channel are distributed according to the maximum number of receiving mailboxes and the maximum number of sending mailboxes supported by the whole vehicle CAN communication network hardware for each CAN channel and CAN communication configuration parameters of each CAN channel; and when the number of the messages to be processed of a certain CAN channel exceeds the allocated mailbox number, classifying the messages, and multiplexing the same mailbox by the messages belonging to the same class. According to the method, CAN mailbox resources are used to the greatest extent, and the reliability of data routing is ensured; when the whole vehicle communication network signal routing table is frequently changed, the reliability of the routing function is ensured, and meanwhile, the development efficiency is improved.

The invention discloses a low-altitude unmanned aerial vehicle cluster communication method based on a self-organizing network, and the method comprises the steps: obtaining neighbor information through broadcasting the ID, the current state and the flight intention of an unmanned aerial vehicle node, carrying out the prospective evaluation of the future topology stability and centrality of each node, intelligently electing a cluster head, dynamically forming and maintaining a cluster, and then, carrying out the cluster communication through the self-organizing network. And generating a layered intra-cluster routing table and an inter-cluster forwarding rule by using a cluster structure, and finally realizing efficient layered forwarding of the data packet. In this way, the routing storm problem in large-scale unmanned aerial vehicle cluster communication is solved, and the expansibility and robustness of the network are remarkably improved.

In one aspect, the present disclosure is directed to a method that includes receiving, at an edge component of a cloud-based secure access service, a corresponding access designation for each of a plurality of endpoints, each access designation specifying a type of access a corresponding endpoint has to remaining ones of the plurality of endpoints and other accessible network resources; based on the corresponding access designation of each of the plurality of endpoints, updating a routing table at the edge component, to include routing information for a subset of the plurality of endpoints having access to at least one other endpoint of the plurality of endpoints or to the other accessible network resources; and enabling routing of network traffic, via the cloud-based secure access service, between any number of the plurality of endpoints based at least in part on the routing table.

The invention provides a data decoupling centralized query method and system based on MQ message triggering, and relates to the technical field of data query, and the method comprises the steps of receiving a message queue data change message, constructing a field, dividing check nodes by depending on a directed acyclic graph, carrying out data consistency verification, and pushing a transaction identifier to carry out concurrent operation scheduling. And collecting hotspot information by adopting a Bloom filter to adjust data fragmentation and cache distribution, generating a distributed query routing table, and distributing query requests according to the routing table. According to the method, the data consistency is improved, and the query performance is optimized.

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 embodiment of the invention relates to the technical field of computers, in particular to a distributed network architecture construction method and system for port environment monitoring, and the method comprises the steps: dividing a plurality of monitoring sub-regions according to the port region environment monitoring requirements, and deploying a heterogeneous monitoring node set in each sub-region. And performing real-time operation state sensing processing on the node set to generate a target network topology structure. And executing routing protocol generation and data scheduling strategy formulation based on the topological structure to obtain a self-adaptive routing table and a data transmission scheduling rule. According to the tables and the rules, distributed collaborative optimization processing is performed on the nodes, network resource allocation schemes and node task load adjustment instructions are generated, finally, port area distributed network architecture reconstruction is performed through the schemes and the instructions, and the efficiency and the accuracy of port environment monitoring are improved.

The invention relates to a hardware routing table look-up method based on segmented unified storage. The method comprises the following steps: firstly, acquiring an IPv4 / IPv6 routing prefix, dividing the IPv4 / IPv6 routing prefix into 1-4 address fields according to 32 bits, allocating a unique forward and backward segment identifier for each field, constructing table entries containing the segment identifiers, 32-bit segment data and a next hop, and uniformly storing the table entries into the same TCAM. During table lookup, segmenting an address to be looked up according to the same rule, querying the TCAM from a first segment by taking segment data as a key, and recording a backward segment identifier and a next hop after hit; and if the backward segment identifier is invalid, directly returning to the corresponding next hop, and if the backward segment identifier is valid, continuing query by taking the identifier and the next segment of data as a joint key. And when the table item is not hit or the identification verification fails, selecting the table item with the longest prefix and the valid next hop in the matched section, and returning to the next hop. According to the invention, IPv4 / IPv6 routing table entries can be uniformly stored, the TCAM space utilization rate is improved, and meanwhile, the hardware table look-up efficiency is guaranteed.

The invention discloses a 5G industrial gateway rapid networking method and system, and the method comprises the steps: building a routing protocol neighbor relation between an industrial gateway and a server module and a core network module, and synchronizing a link state database; and respectively executing a shortest path priority algorithm on the three nodes, and calculating respective shortest paths to other nodes according to the link state database so as to generate respective optimal IP routing tables. When the industrial gateway receives a first data packet, the industrial gateway forwards the first data packet to a core network module through a base station and a private network bearer network according to an internal optimal IP routing table and a target IP address in the first data packet; and the core network module forwards the first data packet to the data network module according to the optimal IP routing table and the target IP address in the core network module. According to the invention, link state databases of the industrial gateway, the server module and the core network module are synchronized through a routing protocol, so that each device masters the topological structure of the whole network, and dynamic addressing of the industrial network is effectively supported.

Systems and methods are disclosed for optimizing network routing and data processing through dynamic route optimization. The invention features a dynamic route optimization engine that uses real-time performance metrics such as latency, bandwidth availability, memory utilization, CPU load, and throughput capacity. It allows for rule-based configurations, enabling custom parameters for transaction processing, data retrieval, and user authorization. Integration with network monitoring tools provides continuous visibility into network performance. The system supports multi-cloud and hybrid cloud environments, dynamically selecting optimal paths based on real-time conditions and regulatory compliance. Predictive analytics anticipate network congestion, allowing proactive routing adjustments. Adaptive algorithms learn from past conditions to optimize performance continuously. Scalability is achieved through automated updates to routing tables and security groups. The invention reduces latency and ensuring efficient data transfer, providing a cost-effective and reliable solution for modern network management, addressing a long-standing need for adaptability and efficiency in network routing.

The invention provides an industry knowledge base dynamic construction method and system based on multi-source heterogeneous data, and relates to the technical field of data processing.The method comprises the steps that target industry multi-source heterogeneous data, user historical behavior data, a natural language question text and a processing text are collected to generate a query data stream; mapping the user question into a query semantic vector, converting the user interaction behavior into a behavior feature vector, and generating a joint query vector; industry knowledge units are automatically extracted from multi-source heterogeneous data and external knowledge sources, and a dynamic knowledge topological graph is constructed; establishing a dynamic knowledge routing table, taking the joint query vector as a routing request, matching a target knowledge node, recording a query path and caching an association rule; and counting and querying path node transition probability to identify a hotspot path, mining a deep association rule, and reversely adjusting a knowledge topological graph structure, so that user intentions can be accurately matched, an industry knowledge base can be dynamically optimized, and knowledge retrieval and association efficiency can be improved.

Network address migration using a destination compute instance to update network configuration information in a cloud environment is disclosed. A network interface either using a private address within a subnet corresponding to the created network interface or using a floating address outside of the subnet corresponding to the created network interface is created. A first node of the HA pair with a service provider interface. The first node is an active data server of the HA pair and the second node is a backup node of the HA pair. Requests are serviced the first node using the created network interface. Upon failure of the first node, the second node performs a failover, wherein if the first node was utilizing a floating address, the second node registers the second node with the service provider interface by adding an address of the second node to the route table.

The invention discloses a wafer-level integrated system-oriented network-on-chip routing architecture and a working method thereof, the network-on-chip routing architecture forms a two-dimensional mesh topology structure by a plurality of router nodes, and routers are connected with one another through crisscrossed links in four directions; the basic unit of the network-on-chip field area routing architecture is a router; according to the system, flexible configuration of routing tables and functional modules of all routers is realized through a configuration packet in a specific format. The system adopts a detection method based on a heartbeat packet, a router actively sends a heartbeat request to a neighbor and waits for a response, and meanwhile, a layered health state monitoring mechanism is realized at an on-chip network field level. According to the mechanism, a local monitor is responsible for summarizing router and link states in a region, and a global monitor integrates information of each region to generate a field-level health report. The configuration and fault detection method provided by the invention has the advantages of flexibility, high efficiency, high expandability, high detection precision and the like, and is suitable for the network-on-chip in a large-scale wafer-level integrated system.

The invention belongs to the technical field of ad hoc networks of Internet of Vehicles, and particularly relates to a vehicle ad hoc network local exploration routing method for event information transmission, which comprises the following steps: firstly, a vehicle periodically exchanges state information and monitors an event, and performs priority identification on event information based on a security level; positioning a nearest vehicle as an information source vehicle and creating an initial routing table; secondly, combining the Manhattan distance between vehicles, the link life, the transmission period and the distance limit to calculate heuristic cost and actual movement cost to construct a routing cost function, dynamically selecting relay nodes through a local exploration strategy, and updating the initial routing table into a relay routing table; and finally, updating the heuristic cost by taking a time slot as a unit to realize predictive maintenance optimization of the optimal routing table. Simulation shows that in a high-density scene, compared with a traditional Mozo method, the routing overhead of the method is reduced by 30.77%, and the long-distance transmission routing operation time is shortened by 24.55%.

The invention discloses an MCTP networking method, system and device crossing multiple PCIe RC domains and a storage medium. The method comprises the steps that in the initialization stage, a unique ID is distributed to each PCIe RC controller, an MCTP routing table stored in a storage device is constructed through a broadcast discovery mechanism, and the routing table maps an MCTP endpoint identifier EID to a unique identifier composed of an RCID and a BDF; in the working stage, the MCTP protocol packet is automatically received to the storage device through the hardware, the software analyzes the target EID and queries the routing table to obtain target routing information and modify the packet header of the protocol packet, and then the hardware sends the modified protocol packet to the target PCIe RC controller. Through software and hardware cooperation and centralized routing table management, efficient and flexible cross-RC-domain MCTP networking is achieved, the problems that a pure hardware routing scheme is large in resource consumption and difficult in time sequence convergence are effectively avoided, and the method has the advantages of being small in resource occupation, high in reliability and easy to achieve.

The invention provides a network topology relation graph dynamic generation method, which belongs to the technical field of network topology, and comprises the following steps: starting an improved Tarjan strong connectivity component algorithm in each subnet partition to carry out loop detection, executing distributed loop verification on cross-subnet boundary nodes, collecting ARP table entries, routing table entries, OpenFlow flow tables and virtualization platform interface data, and sending the ARP table entries, the routing table entries, the OpenFlow flow tables and the virtualization platform interface data to each subnet partition; the method comprises the following steps: performing power spectrum analysis on an optical power monitoring point on optical network equipment to identify a wavelength channel occupancy state, reconstructing a wavelength routing path of a DWDM system, and performing two-stage submission on topological data acquired by distributed detection nodes by adopting a causal consistency protocol to synchronously generate a global unified network topological relation graph; the technical problems that the incremental updating efficiency is low and the cross-layer mapping relation is difficult to reconstruct in real time when the network topology dynamically changes are solved.

The invention discloses a self-checking router network communication system, which belongs to the technical field of router network communication, and comprises a hardware module and a software module, the hardware module comprises a central processing unit used for executing system instructions and processing data, a storage unit used for storing temporary data, basic starting programs and key configuration files, and a network interface used for being connected with an external network. The software module comprises a self-checking program used for carrying out comprehensive self-checking on system hardware and software, a communication protocol stack used for realizing encapsulation, de-encapsulation and transmission of network data, and a network management module used for configuring, monitoring and managing the system; the self-checking items of the self-checking program comprise network card detection, power supply detection, connectivity detection of network connection and accuracy detection of a routing table; the system can discover and process network communication faults in time and guarantee stable operation of the network.

The systems and methods disclosed herein orchestrate task execution among autonomous (or semi-autonomous) AI agentic models (“agents”) using a gateway router that dynamically coordinates the agents based on prompt characteristics, user context, and / or real-time operational factors. Received inputs (e.g., prompts) are segmented into subcomponents (e.g., sub-queries), which are routed / mapped to candidate agents based on the output parameters of the subcomponent (e.g., performance thresholds, cost thresholds) and operational parameters (e.g., cost, performance metric values, user access restrictions, timing restrictions) of each agent. The gateway router maintains dynamic routing data structures for each agent that are continuously updated based on environmental stimuli (e.g., geo-political stimuli, sensor stimuli, agent stimuli). For example, the gateway router causes agents to dynamically switch between rule engines identified by the routing tables in response to detecting environmental stimuli. Responses from the candidate agents are aggregated into an output that is responsive to the input.

The invention discloses a concurrent scene-oriented extensible block chain client optimization method, which comprises the following steps of: decoupling a client into an interface service layer, a message service layer and a data service layer based on an asynchronous message bus, and realizing node dynamic registration and routing table maintenance through a heartbeat protocol; the interface service layer calculates a dynamic weight according to the state information of the data service nodes to construct a dynamic weight table so as to distribute an external request to the surviving data service nodes; a distributed cache layer is introduced, a cache layer cluster is preferentially queried in a read operation path, chain code query is triggered when the cache layer is not hit, and a result is written into a cache; and a write operation path adopts two-stage cache failure guarantee to eliminate dirty reading. Industrial environment parameters of all the data service nodes are collected in real time and scored, and part or all of the flow is intelligently migrated according to the score. According to the method, the client throughput, the response efficiency and the industrial environment adaptability are remarkably improved, and large-scale deployment of intelligent manufacturing high-concurrency scenes is supported.

The invention relates to a cockpit network route adjusting method, a cockpit network system, a vehicle and a storage medium, a cockpit network architecture comprises an Ethernet switch, a first controller and a second controller, the first controller and the second controller are connected with the Ethernet switch, and the method comprises the following steps: under the condition that the first controller is connected with a wireless network, the first controller is connected with the wireless network; setting a destination MAC address in the Ethernet switch as the MAC address of the first controller; and configuring a routing table of the first controller based on the first routing information, so that the second controller accesses the wireless network based on a routing service provided by the first controller. The method can solve the problem that the vehicle network is difficult to use.

The invention discloses a networking method and system based on unmanned aerial vehicle cluster topology dynamic evolution. The method comprises the steps that each unmanned aerial vehicle node monitors a message sent by a neighbor node in a wireless channel and records message information of the neighbor node; the consumer node selects a used networking method according to whether the routing in the routing table fails or not and initiates a data acquisition request; the intermediate node selects a suitable networking method according to whether the routing in the routing table fails or not, forwards the data acquisition request and records a data request path; the provider node receives the data acquisition request and returns a data packet to an upstream intermediate node along a data request path; the intermediate node updates a routing table according to the data packet, and returns the data packet to the consumer node along the data request path; and the evolution of the unmanned aerial vehicle cluster networking method is realized by aiming at the update routing failure time of the unmanned aerial vehicle network. According to the invention, each node in the unmanned aerial vehicle cluster can dynamically adjust the networking method according to the topology change, so that the self-adaption to the environment is realized.

The invention provides a file co-processing method and system based on distributed multithreading and dynamic sub-libraries, and relates to the technical field of file data processing, and the method comprises the steps: obtaining a to-be-processed file, and generating a file list according to batch information; a production-consumer model is adopted, a producer main thread scans a file list, a task queue is generated, a consumer thread pool concurrently executes downloading tasks, and the maximum concurrency number is controlled through semaphore; file data are uniformly distributed to a plurality of physical storage nodes on the basis of a fragment routing algorithm, real-time updating of a mapping relation between fragments and instances is managed by utilizing a dynamic routing table, resources are preferentially allocated to high-priority file tasks on the basis of a service routing strategy, and the tasks are dynamically allocated to specified database fragments; multi-file parallel processing on a processing node is realized through a three-stage parallel model, dynamic Feign calling is carried out on a service instance dynamic route and a weight load, multi-state table state synchronous updating is carried out based on a two-stage state machine, and a processing log is saved.

The invention relates to a computing power network scheduling method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: receiving abstract computing power information issued by a computing power management and control platform, generating an extended protocol message according to the abstract computing power information, and notifying each computing power gateway of the extended protocol message so as to send the abstract computing power information to each computing power gateway, so that the computing power gateway locally generates a computing power routing table according to the abstract computing power information, and sends the computing power routing table to the computing power management and control platform; in response to an application sensing message sent by a user, according to a computing power demand and a computing power routing table in the application sensing message, obtaining a target computing power gateway of which the resource abstract information meets a computing power demand condition, and sending the application sensing message to the target computing power gateway, and the target computing power gateway performs network layer addressing according to the application sensing message and a locally generated computing power routing table, and performs service flow forwarding according to an addressing result. By adopting the method, the integrated scheduling of the computing power network can be accurately realized.

The invention relates to the technical field of network communication, in particular to a high-efficiency message routing method of an independent gateway controller, which comprises the following steps of: constructing a routing table by analyzing network topology in a mode of combining a dynamic routing protocol with static configuration, mapping and storing a target address and a forwarding path, and transmitting a message to the gateway controller; the method comprises the following steps of: analyzing a source protocol frame structure to extract effective load data, repackaging the data according to a target protocol specification, realizing link redundancy by adopting a ring network protocol, automatically switching a standby link and maintaining an equivalent path when a main link fails, and obtaining a flow trend and performance data by monitoring a network load and an equipment state in real time. And dynamically adjusting a routing strategy according to the data, and periodically generating a performance report to obtain a continuously optimized routing scheme. According to the method, the problems that the routing table query efficiency is low and the routing strategy cannot be dynamically optimized according to the real-time state of the network in the traditional method are solved.

A data processing method and apparatus, and a network device. The method is applied to a network device comprising a plurality of data transmission ports, and comprises: parsing an initial data packet transmitted by a data transmitting end, and determining a packet feature of the initial data packet; when the initial data packet is determined as a target data packet on the basis of the packet feature, determining a forwarding policy of the target data packet on the basis of the packet feature and a packet forwarding routing table, wherein the packet forwarding routing table is generated by means of load balancing states of the plurality of data transmission ports; and on the basis of the forwarding policy of the target data packet, determining a target data transmission port from among the plurality of data transmission ports, and using the target data transmission port to forward the target data packet to a data receiving end.

The invention discloses a multi-source heterogeneous network converged communication method and system in an emergency command scene, and the method comprises the steps: obtaining remote relay link data, distributed ad hoc link data and mobile access link data, carrying out the protocol analysis of the remote relay link data, and recognizing a protocol feature identifier; executing cross-network mapping according to the protocol feature identifier to generate a unified access table; executing link complementarity analysis by using a unified access table, and extracting strong complementary link pairs to form a multi-path transmission scheme; identifying group communication nodes, establishing a protocol conversion channel, executing protocol conflict detection to identify conflict resolution nodes, and performing protocol remapping to generate a collaborative routing table; performing channel reverse extraction, performing routing compensation processing, performing priority reversal identification, and performing transmission fault-tolerant configuration to construct a convergence communication state; and determining a converged communication domain, converting the collaborative routing table into a multi-network converged communication deployment scheme, realizing the fusion of satellite communication, ad hoc network communication and mobile communication, and providing a communication guarantee scheme for emergency command.

The invention provides a protocol stack system for model training, a model training method and related equipment, and relates to the technical field of communication. The protocol stack system comprises a physical layer, a transmission layer, a feature layer, an intelligent control layer and an application layer. The application layer performs a round of training on an artificial intelligence AI model by using each computing power node, and calculates the gradient of the AI model; the feature layer encodes the gradient of the AI model calculated by each computing power node to obtain an encoding result corresponding to each computing power node; the intelligent control layer determines an optimal path based on the computing power information of each computing power node, the current network state and a routing table among the computing power nodes; and the transmission layer and the physical layer perform full reduction operation on the coding result corresponding to each computing power node according to the optimal path, so that each computing power node obtains an average value of the gradient of the AI model, and the AI model is updated. Through the technical means, the problems of low data transmission efficiency, high delay and the like in distributed model training in related technologies are solved.

The invention provides a wireless communication method based on a cellular Internet of Vehicles technology, a communication terminal and a vehicle, and relates to the technical field of vehicle communication. The method comprises the following steps: adding a first vehicle-mounted communication terminal and a second vehicle-mounted communication terminal of a target following vehicle in preset formation vehicles to a communication network of a target multicast group, and generating a target multicast routing table, so that a leading vehicle adopts a multicast communication mode, the multicast data can be sent to the second vehicle-mounted communication terminal of each target following vehicle in a targeted manner through the first vehicle-mounted communication terminal, so that the data is prevented from being sent to other vehicles. Due to the adoption of the multicast communication mode, the vehicle-mounted communication terminal of any vehicle in the target multicast group sends the multicast data, and the vehicle-mounted communication terminals of the other vehicles can receive the multicast data, so that unnecessary repeated transmission is avoided, the risk of network congestion is remarkably reduced, the information spreading efficiency is improved, and the user experience is improved. And meanwhile, all target following vehicles can receive the latest instruction in time, and synchronization and stability of a motorcade are maintained.