1120 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.

The invention provides a private domain live broadcast bandwidth resource allocation and routing method and system based on reinforcement learning, and relates to the technical field of computer networks, and the method comprises the steps: collecting real-time data such as the number of users, geographical distribution, terminal types, content types, network delay, packet loss rate, bandwidth utilization rate and the like in a live broadcast room, and inputting the real-time data into a pre-trained reinforcement learning model; the model is based on a state space, features are extracted by using a deep neural network, bandwidth resource constraints are combined, and a bandwidth allocation and routing strategy is generated by adopting a strategy gradient algorithm; and according to the strategy, the software defined network controller adjusts bandwidth allocation parameters and routing table configuration in real time to realize differentiated bandwidth allocation and path optimization, establishes nearby access edge nodes based on user geographical distribution, and dynamically adjusts the path during congestion.

The invention provides a distributed real-time database intelligent management method and system based on big data, and relates to the technical field of database management, and the method comprises the steps: predicting a resource demand through a neural network model, selecting a target data node, generating a data fragment mapping table by adopting an annular data structure, and constructing a fragment routing table to realize writing and migration of the data fragments. After a data processing task is received, data distribution is determined according to the fragment routing table, sub-tasks are split and distributed to target data nodes based on priorities, the resource occupancy rate is monitored, the tasks are redistributed when necessary, and finally a data processing result is generated. The method improves the database management efficiency and the resource utilization rate.

The invention provides a performance optimization method and system for cross-data-source paging query, and relates to the technical field of data processing, and the method comprises the steps: calculating a data distribution weight and a data source routing table, determining an optimal data access path, and splitting a paging query request into sub-query tasks; dynamically adjusting the number of parallel query threads based on the load state and distributing sub-query tasks; establishing a local index and adaptively adjusting an index structure; dynamically adjusting the connection number of the connection pool and acquiring data in batches; performing feature analysis according to a query result, determining the size of a data fragment, and selecting an optimal merging strategy to merge the data; constructing a cache access mode graph, and aggregating and storing related data based on the access association degree; and optimizing a performance strategy set through reinforcement learning, adjusting a cache updating interval, a data access path and a feature matrix, and finally obtaining a query result. According to the method, the cross-data-source paging query efficiency can be effectively improved, the query delay is reduced, and the overall performance of the system is improved.

The invention discloses an automated guided vehicle scheduling optimization method and device, a medium and a terminal, and the method comprises the steps: generating fleet heterogeneous data based on parameter data of a plurality of automated guided vehicles in an intelligent warehouse, and fusing the fleet heterogeneous data into an undirected graph model obtained through undirected graph modeling based on storage environment topological data in advance, the method comprises the steps of obtaining an environment topological graph model, then carrying out graph topology and heterogeneous feature extraction on the environment topological graph model to obtain a multi-constraint path planning model, and dynamically adjusting a single-vehicle route of each automated guided vehicle by utilizing the planning model and real-time storage field state data. And then performing scheduling process simulation on the intelligent warehouse based on the dynamic routing table formed by adjustment and historical scheduling index data of the intelligent warehouse, so that a scheduling system model learns a mapping strategy from a state to a behavior and outputs an optimization decision strategy. The method is used for automatic guide vehicle scheduling, is suitable for storage environments of different scales and complexities, and improves the scheduling efficiency and accuracy.

The invention provides a QoS routing optimization method and system, a computer and a readable storage medium, and the method comprises the steps: S1, obtaining a real-time network performance data set which comprises link bandwidth, delay and packet loss rate; s2, modeling a network topology into a graph structure based on the real-time network performance data set, and generating a network state feature matrix; s3, constructing a state space and an action space according to the network state feature matrix, wherein the action space comprises a plurality of candidate paths from a source node to a target node; s4, selecting a candidate path from the action space through a main network, evaluating the performance value of the candidate path by adopting a target network, updating the main network according to the performance value, and generating an empirical data set; and S5, optimizing a path selection strategy according to the empirical data set, and updating a routing table. According to the method and the device, the optimal path meeting the QoS requirement can be found for the data flow in different service environments in the dynamic network environment.

The invention relates to the technical field of network monitoring, in particular to a method for constructing a dynamic self-adaptive alarm monitoring network based on LoRa and Ad-hoc ad hoc network technology, which comprises the following steps: (1) integrating a dynamic Ad-hoc ad hoc network routing protocol on each LoRa node, so that each node can automatically discover neighbor nodes, establish and maintain a dynamic routing table, and automatically discover the neighbor nodes; a non-centralized network architecture is realized; (2) through a multi-hop communication mode, the alarm information can be flexibly transmitted among the nodes, the coverage range of the network is expanded, and the system adapts to a complex geographical environment; and (3) by utilizing the characteristics of low power consumption and long-distance transmission of the LoRa technology, stable communication between the nodes in a large range is ensured, meanwhile, the energy consumption is reduced, and the working life of the nodes is prolonged. Through the dynamic self-adaptive Ad-hoc routing protocol, the network can automatically adjust the routing according to the node state and the environment change, the dynamic change of the network topology is adapted, and the reliable transmission of the alarm information is ensured.

The invention relates to the technical field of data transmission, and discloses an OpenHarmony-based data transmission method and platform, and the method comprises the steps: carrying out the automatic discovery of network equipment through employing a distributed soft bus technology, and obtaining an authenticated equipment list; constructing an initial dynamic routing table and updating the initial dynamic routing table to obtain an optimized routing table; fragmenting the data to be transmitted and performing redundant coding to obtain a coded transmission unit; business is divided into real-time and non-real-time categories, a state space is constructed, and a business migration strategy is formulated; performing parallel transmission on the encoded transmission units, and dynamically adjusting a data distribution proportion; distributed cache nodes are deployed in a network, data transmission is optimized, efficient transmission and recovery of data are realized, and automatic discovery and security authentication of equipment, dynamic routing optimization, intelligent data fragmentation and coding, resource scheduling of service awareness, parallel transmission of multiple network interfaces and efficient utilization of distributed cache can be realized.

The invention relates to the technical field of memory channel testing, in particular to a multi-channel parallel testing system and method based on a memory. The method comprises the following steps: acquiring original data of a memory test channel; performing topology analysis on the original data of the memory test channel to generate node distribution data of the memory channel; performing dynamic weight calculation on the storage channel node distribution data to obtain channel priority data; performing resource competition arbitration on the storage channel node distribution data according to the channel priority data to generate channel resource allocation data; performing control plane mapping on the channel resource allocation data to generate network topology virtualization data; and performing routing strategy optimization processing on the network topology virtualization data to generate dynamic routing table data. By optimizing channel resource allocation, topology virtualization management, elastic scheduling synchronization, fault prediction and data matching, the multi-channel parallel test efficiency and accuracy of the memory are improved.

The invention provides an intelligent computing fusion network routing system and a routing method thereof. The system comprises an entrance gateway, a routing forwarding node, a computing node and a computing network controller, the computing network controller is used for carrying out path selection and computing resource allocation in combination with a real-time network state and load information of the computing node, dynamically generating and updating a computing network routing table through a computing network fusion routing algorithm, and issuing the computing network routing table to the entry gateway and the routing forwarding node; and the entry gateway receives and stores the computing network routing table issued by the computing network controller as a data stream access point, receives a computing power data stream which is input from the outside and carries a computing power service request, executes computing power routing table matching according to the computing power service request, and forwards the computing power data stream to a proper routing forwarding node according to a matching result. According to the invention, by optimizing the joint scheduling of the computing power service paths and the computing nodes, a plurality of paths of the anycast computing power routing and the weights of the paths are generated, the service flow level load balancing is realized, and the end-to-end time delay is reduced.

The invention provides a control equipment networking communication method and device, equipment and a storage medium, and the method comprises the steps: carrying out the control function feature extraction of access equipment, obtaining a control type and a communication demand, and executing control cooperative perception processing to generate a control function descriptor; calculating a control criticality index based on the descriptor, executing control-oriented link establishment processing, and generating a control-sensitive routing table; classifying and marking the communication data to obtain service labels, executing control correlation route aggregation processing, and generating a dynamic route execution plan; time slot allocation of control period perception is carried out on network bandwidth resources, time slot division is established, data transmission time sequence control is executed, and networking data transmission between devices is achieved. According to the method, control function perception and control criticality calculation are introduced, so that the network identifies the importance degrees of different control data, and differential transmission of the control data is realized by controlling time slot distribution of correlation routing aggregation and control period synchronization.

The invention discloses a networked measurement and control data transmission task scheduling method for a giant low-orbit satellite constellation, and solves the problem of low completion rate of measurement and control data transmission tasks caused by incapability of global station distribution in the prior art. Obtaining a resource attribute, a ground station state and a low earth orbit satellite state by using the task layer, the resource layer, the equipment state and the constellation state, performing data conversion to obtain input data, inputting the input data into the trained multi-agent network to obtain an action corresponding to the current time slot, and determining an entry low earth orbit satellite and an associated ground station according to the action; obtaining a routing path between the entry low earth orbit satellite and the task low earth orbit satellite according to the inter-satellite shortest path routing table, and determining a scheduling sequence according to the routing path and the associated ground station; the mutual influence between global tasks and resources is considered, the effectiveness of decision making during execution is reduced, and meanwhile, the scheduling efficiency of measurement and control data transmission tasks in a giant low-orbit satellite constellation scene is improved.

The invention relates to an ultra-high-speed large-flow Ethernet data generation system and method. The system comprises a software unit and an FPGA unit. The software unit is used for generating stream template data and issuing the stream template data to the FPGA unit; the stream template data comprises stream template configuration items and dynamic configuration parameters; the flow template configuration item comprises protocol header information, scheduling configuration information, frame length configuration information and load configuration information; the dynamic configuration parameters comprise dynamic jump configuration information, routing table configuration information and the like; and the FPGA unit is used for storing, reading and calculating the issued stream template data, realizing intra-frame jump value calculation, message and IP head checksum generation, Ethernet frame construction and transmission. Through combination of software and hardware methods, the demand quantity of hardware resources can be reduced, the consumption of logic resources of the FPGA unit can be reduced, the phenomena of high and low speed operation environments, network congestion and the like in the existing network can be simulated, and diversified simulation environments can be provided.

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 discloses a PCIe (Peripheral Component Interconnect Express) switch supporting parallel sending of multicast data packets, which comprises a plurality of ports and a routing module, at least one port supports a multicast function, the port supporting the multicast function comprises a multicast function register and a multicast management module, and the multicast management module comprises a routing table. And the routing module is in communication connection with the multicast management module and is used for sending the multicast data packet to the destination port according to the routing table. The PCIe switch allows multiple ports to send multicast data packets at the same time without causing congestion.

The invention relates to a multi-service system interface integration and dynamic host automatic management method and system, and belongs to the technical field of informatization integration, and the method comprises the steps: obtaining the interface feature information of a plurality of service systems, and carrying out the feature extraction, and obtaining a preliminary interface feature set; performing logic tagging on the same type of fields, generating a unified interface semantic model, defining a data processing logic rule, and storing the data processing logic rule in a logic strategy rule base in combination with a business strategy logic rule; acquiring host node information in the enterprise infrastructure resources; obtaining a host resource mapping table based on the logic strategy rule base; generating a dynamic routing strategy and constructing a dynamic routing table; receiving an external service request in real time, obtaining an interface name, searching a dynamic routing strategy in the dynamic routing table, and selecting a target host node; and performing data processing on the data stream of the external service request and routing the data stream to the target host node. The resource utilization rate of the multi-service system can be improved, and high availability can be guaranteed.

The invention relates to an underwater acoustic sensor network routing method based on fuzzy logic, which comprises the following steps that: a Sink node periodically broadcasts a HELLO packet to perceive topological change, and each node locally and dynamically maintains a parameter Hcur representing the hop count of the node for representing the hop count from the node to the Sink node; in the relay selection process, the sending node broadcasts a PING packet; after the neighbor node monitors the PING packet, the neighbor node whose hop count to the Sink node is less than or equal to that of the sending node becomes a candidate node, and the candidate node calculates the link quality between the sending node and the node and replies the PONG packet in a point-to-point manner; (4) within the waiting time, the sending node receives the PONG packet replied from the candidate node, and constructs a candidate node routing table; and (5) after the timing of the waiting time is finished, selecting an optimal forwarding node based on a candidate node routing table and a fuzzy system.

The invention relates to an inter-satellite routing method based on computing resources and link states. The inter-satellite routing method comprises the following steps: S1, a current node periodically broadcasts a HELLO message to a one-hop node of the current node; s2, the current node determines a neighbor node set according to the HELLO message; the HELLO message comprises the computing resource degree and the position information of the current node and the computing resource degree and the link stability of the neighbor node of the current node; s3, the current node performs MPR node selection based on an improved routing protocol of the computing resource degree and the link stability; s4, the current node periodically sends and forwards TC messages in the whole network range through the selected MPR node to obtain topological information, and a topological database is formed; the TC message comprises computing resource degree and link stability information of neighbor nodes of the current node; and S5, the current node calculates and maintains a routing table according to the MPR node set and the topology database and a Djisktra algorithm.

The present application relates to network routing between networks where private routing tables are in use and remote networks. Overlapping IP address ranges may be in use in private networks, which may result IP clashes in the remote network. A system (400) for routing internet protocol, IP, traffic is provided. The system (400) comprises one or more consumer networks (410) each comprising a gateway (420) and one or more private networks (430). Each of the plurality of private networks serves one or more endpoints (440). The system (400) further comprises a remote network (450) comprising a router (460) for each of the plurality of private networks (430) in the consumer network (410). Each router (460) in the remote network has a unique identifier and is configured to establish a tunnel (470) between the router and the gateway (420) of the corresponding consumer network, so that each tunnel corresponds to a private network (430) of the one or more private networks (430) in the one or more consumer networks (410). The gateway (420) of each consumer network (410) is configured to receive upstream IP traffic, determine from which private network (430) the upstream IP traffic originates, and send the upstream IP traffic to the remote network (450) via the tunnel (470) corresponding to the private network (430) from which the upstream IP traffic originates.

The invention discloses an unmanned cluster hierarchical networking system and a multi-source tree routing protocol implementation method, the method adopts a hierarchical networking form to construct a tree topology, and comprises the steps of constructing the tree topology by taking at least one cluster head node as a root node, forming a transmission path of a far-end node, the cluster head node and a manned node, and establishing a multi-source tree routing; selecting an optimal father node as a relay node of an uplink path by adopting a shortest path first and link quality assisted routing measurement strategy; an uplink routing table is established through periodically broadcasting source tree information, and a downlink routing table is established through tree-shaped routing information feedback maintenance; and establishing and maintaining the multi-source tree topology by using an uplink routing table, a downlink routing table and a point-to-point routing table according to the requirements of uplink multi-source data convergence, downlink multicast transmission and end-to-end unicast transmission. According to the method, flexible networking, rapid reconstruction and dynamic resource allocation can be met, and the method has the advantages of low routing storage overhead and low calculation overhead.

The invention discloses a whole machine hot standby switching method of a network system, electronic equipment, a medium and a product, and relates to the technical field of computers, and the method comprises the following steps: when a first target host device in a fault state exists in a plurality of host devices, deleting the first target host device, and generating corresponding fault information, and receiving a first topology configuration file of a new graphic processing unit updated by the multi-host control processing unit based on the fault information, so as to update a routing table of the PCIe switch based on the first topology configuration file, and mapping resources of the graphic processing unit of the first target host device to a second target host device in a normal state, the problems that the port mapping of the PCIe switch is relatively fixed and the data is difficult to switch to the standby equipment quickly are solved, and the flexible connection of the GPUs and the continuous updating of the routing table are realized through the PCIe switch, so that the efficient data interaction and resource mapping among the GPUs are realized.

The invention relates to the technical field of railway operation and maintenance communication, and discloses a railway operation and maintenance communication network optimization system fusing power grid information. The system comprises a multi-source data fusion module for collecting power, railway and environment data to generate a space-time multi-dimensional data cube; the communication quality evaluation module is used for analyzing data by using a fuzzy logic fusion algorithm to obtain a communication link quality degradation index sequence; the network topology optimization module is used for constructing a dynamic Bayesian network model to calculate an optimal communication routing table; the dynamic resource scheduling module is used for designing a bilevel programming algorithm to realize frequency spectrum and power joint scheduling; and the exception collaborative processing module is used for establishing a federated learning framework to generate a cross-domain collaborative repair instruction set. The system can accurately evaluate communication quality, optimize network topology, reasonably dispatch resources and cooperatively process exceptions by fusing power grid information, and effectively improves the performance and reliability of a railway operation and maintenance communication network.

The invention provides a data acquisition method, system and device based on HPLC and HRF dual-mode communication and a medium, and relates to the technical field of data acquisition. The data acquisition method based on HPLC and HRF dual-mode communication comprises the following steps: acquiring a pre-constructed data acquisition network topology, a networking state of the data acquisition network topology and an initial routing table; determining a target data transmission path according to the networking state, the data acquisition network topology and a preset shortest path calculation mode; generating a target routing table according to the target data transmission path and the initial routing table; and acquiring key load data according to the target routing table, allocating weights to the plurality of ammeters, determining a data acquisition sequence according to the key load data, the weights and a preset sorting mode, and acquiring power utilization data of the plurality of ammeters according to the data acquisition sequence. According to the method, the shortest path is calculated and the acquisition sequence is set, so that the accuracy and integrity of the data are ensured, and the precision of the acquired power consumption data is improved.

The invention discloses a multicast management module which can be in communication connection with a plurality of ports supporting a multicast function and comprises a judgment sub-module, a storage sub-module and a sending sub-module. Wherein the judgment sub-module is used for determining the priorities of the ports, the storage sub-module is used for sequentially storing multicast data packets received by the ports and corresponding routing tables according to the priorities from high to low, and the sending sub-module is in communication connection with the storage sub-module and is used for sequentially copying the multicast data packets received by the ports according to the priorities and sending the copied multicast data packets to the corresponding routing tables. And determining a destination port according to the corresponding routing table. The multicast management module can sort multicast data packet sending of each port, can support pipeline operation, and increases the throughput rate. In addition, resources can be saved during data copying of the multicast data packet. When the method is applied to the PCIe switch, multiple ports of the PCIe switch can send multicast data packets at the same time, and the congestion problem in multicast operation is solved without sacrificing performance.

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.

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 discloses a multi-link switching method based on a heterogeneous network, relates to the technical field of multi-link switching, and is used for solving the problems of low link state detection and switching efficiency and link state misjudgment caused by a single address in the prior art. According to the method, the number of heterogeneous networks is determined, link dynamic binding and priority configuration are carried out on each heterogeneous network, the link weight and the link switching threshold value of each heterogeneous network are self-defined to serve as switching judgment logic, a dynamic routing protocol is constructed, and an optimal routing table of a link corresponding to each heterogeneous network is generated in real time; and executing routing control through the optimal routing table, performing multi-thread independent detection, binocular address detection and IP state monitoring on the link of each heterogeneous network, obtaining the link state of each link based on detection and monitoring results, and switching the link according to the link state of the link to which the heterogeneous network belongs and switching judgment logic. And a corresponding switching strategy is formulated for synchronous execution, so that efficient and accurate multi-link switching is realized.

Apparatus and methods are provided for L2-based sidelink relay for packet routing. In novel aspect, the L2-based sidelink relay for packet routing is configured based on interest indications from one or more candidate UEs and corresponding UE report from candidate UEs. In one embodiment, the UE report is received from an Uu interface RRC message or an RRC message forwarded through an Xn interface from a serving gNB. The L2 relay configuration includes one or more elements comprising an adaptation layer address of nodes in the relay path, and a packet routing table. The adaption layer is between an RRC layer and a PDCP layer. The packet routing table includes one or more elements including adaptation layer addresses, a relay path ID, and a next hop address. In one embodiment, the relay path includes one or more relay hops.

The invention provides a substation cable trench inspection robot adaptive networking system and method. The system comprises a channel quality monitoring module, a multi-band communication module, a dynamic topology reconstruction module, an electromagnetic compatibility optimization module, a novel antenna array module, a data storage and management module and a man-machine interaction module which are in communication connection with one another. The channel quality monitoring module is used for providing real-time communication environment perception for the system; the multi-band communication module is used for carrying out adaptive cooperative communication through multiple bands; the dynamic topology reconstruction module is used for optimizing a routing table in real time; the electromagnetic compatibility optimization module is used for optimizing the strong electromagnetic interference resistance of the system; the novel antenna array module is used for monitoring geometrical characteristics and material attributes of the metal wall of the cable trench and dynamically adjusting the transmitting angle and polarization mode of an antenna; the data storage and management module is used for recording a running log through a distributed database; the man-machine interaction module is used for providing an operation interface and an interaction interface.

The invention relates to the technical field of high-speed routing, and discloses a real-time monitoring and early warning method and system for high-speed routing. The method comprises: collecting data from a plurality of high-speed network interfaces in a router, generating a multi-dimensional original data sequence for each high-speed network interface; performing flow fluctuation analysis and data packet feature statistics, generating a network behavior feature set for each high-speed network interface; inputting a multi-layer attention network to perform correlation analysis between interfaces, time sequence importance calculation and feature significance evaluation, and outputting a target feature vector for each high-speed network interface; inputting a network anomaly analysis model to perform pattern matching and threshold judgment, and generating a network anomaly alarm sequence for each high-speed network interface; performing spatiotemporal state correlation analysis and fault propagation path tracing, and outputting a router fault location result. The invention realizes efficient management and dynamic optimization of routing tables, and ensures reasonable allocation of network resources.