304 results about "Network routing" patented technology

The invention discloses a multi-agent collaborative data exchange dynamic routing optimization method and system, and relates to the technical field of network communication, and the method comprises the steps: obtaining the real-time state information of each node in a network, and outputting a node state data set; constructing a historical state sequence of each node, calculating a load change trend, and outputting a routing adjustment signal when the load change trend reaches a load critical value; calculating a collaborative weight according to the network contribution degree of each agent, establishing a task allocation mapping relationship among the agents based on the collaborative weight, and outputting a collaborative scheduling result; determining a candidate path set, performing index evaluation on paths in the candidate path set, and outputting an optimal routing path; and executing data transmission, obtaining a quality difference between an actual transmission effect and an expected effect, and performing parameter correction. According to the invention, active optimization and multi-target balance of network routing are realized, and routing efficiency and system stability in a dynamic network environment are improved.

The invention discloses a network-on-chip routing method and device, routing nodes, equipment, a medium and a product, and relates to the technical field of network-on-chip, and the method comprises the steps: firstly, screening the routing nodes through employing the input direction of a message, and limiting the selection range of the next-hop routing node; the relative position of the target routing node relative to the current routing node is determined, the routing nodes are further screened according to the relative position, and candidate routing nodes are determined; and determining a next-hop routing node according to the cache capacity and the input direction of the candidate routing node, and transmitting the message to be transmitted to the next-hop routing node to complete routing. The problem that the routing of the network-on-chip is easy to cause network message blockage or link failure of the network-on-chip can be solved. According to the method, an input direction is adopted to limit a selection range of a next-hop routing node, a relative position is adopted to determine candidate routing nodes, the next-hop routing node is determined in the candidate routing nodes based on cache capacity, and self-adaptive deadlock-free routing is realized.

Techniques are described for routing traffic through an interconnect cloud gateway based on cloud traffic routing indicators. The interconnect cloud gateway can advertise the cloud traffic routing indicators, which can include cloud indicators and transport gateway indicators. The cloud indicators can include cloud tags utilized to route cloud traffic. The transport gateway indicators can include transport gateway flags utilized to identify private networks utilized to route the cloud traffic. The cloud traffic can routed during normal private network operation through private networks, which can be dynamically replaced by public networks due to occurrences of failures preventing the data traffic from being routed through the private networks and to cloud networks.

A system manages network traffic in a distributed system comprising a plurality of network devices. The network devices are divided into a plurality of network slices, each of the network slices including a subset of the network devices such that there is no overlap of network devices between the network slices. Individual network slices are associated with individual slice controllers, and an individual slice controller is configured to manage network routing of an individual network slice. Each of the individual slice controllers route the network traffic within each respective individual network slice. The network traffic is independently routed based on expected network conditions for each respective individual network slice, and data defining routing decisions is contained within each network slice to limit fault effects between the network slices.

Methods and systems related to parallel computing using heterogeneous networks of computational nodes are disclosed herein. A method for executing a complex computation on a heterogeneous set of computational nodes linked together by a set of links in a network is disclosed. The method includes compiling, using a table of bandwidth values for the set of links in the network, a set of instructions for routing data for the execution of the complex computation. The method also includes configuring a set of programmable controllers on the heterogeneous set of computational nodes with the set of instructions. The method also includes executing the set of instructions using the set of programmable controllers. The method also includes routing data through the network to facilitate the execution of the complex computation by the heterogeneous set of computational nodes and in response to the execution of the instructions.

The invention provides an integrated circuit power supply network wiring optimization method, a computer device and a storage medium. The method comprises the steps of performing initial wiring based on initial parameters and constraint conditions; evaluating the connectivity state of the power supply network after initial wiring, if the number of unconnected pins of the power supply network does not meet the set requirement, performing connectivity optimization calculation on the power supply network, and adjusting wiring parameters of the power supply network to enable the number of the unconnected pins to meet the set requirement; the power supply voltage drop state of the power supply network is evaluated, if the power supply voltage drop value under the worst condition is larger than a preset power supply voltage drop threshold value, power supply voltage drop optimization calculation is carried out, and the power supply voltage drop value under the worst condition is reduced to be below the power supply voltage drop threshold value by adjusting wiring parameters of the power supply network; and carrying out wiring on the power supply network based on the finally determined wiring parameters obtained by power supply voltage drop optimization calculation. The computer device and the storage medium can realize the method. According to the invention, the calculation efficiency of wiring optimization can be improved.

The disclosed computer-implemented method includes determining that incoming media item requests are to be skewed from a random distribution among server nodes, using a random distribution algorithm, to a directed distribution among the server nodes. The method then includes identifying, in a loading assignment, which media items are to be loaded onto specific server nodes to produce the directed distribution of media item requests. The method next includes preloading the identified media items onto the server nodes according to the loading assignment and receiving media item requests for the preloaded media items. The method then includes routing the received media item requests to the server nodes using the random distribution algorithm, where the random distribution algorithm is skewed to the directed distribution based on the preloading of the media items according to the identified loading assignment. Various other methods, systems, and computer-readable media are also disclosed.

The invention relates to a self-adaptive control method and device for an urban rail transit energy router. The method comprises the following steps: acquiring network routing energy data and network routing spatio-temporal data corresponding to a rail transit network; according to the network routing energy data and the network routing spatio-temporal data, analyzing a spatio-temporal-electric energy relationship of the rail transit network to obtain spatio-temporal electric energy distribution data; performing class energy state transition analysis on the space-time electric energy distribution data to obtain network energy state real-time evolution data; and adjusting calculation parameters of the time-space electric energy distribution data by using the network energy state real-time evolution data until the stability of the network energy state real-time evolution data accords with a preset stability parameter, thereby obtaining network energy routing control data corresponding to the rail transit network. By adopting the method, the self-adaptive adjustment capability of the real-time operation state can be met, and the energy utilization efficiency can be improved.

The invention discloses a multipath relay transmission method and system for underground confined space construction data, and belongs to the technical field of wireless communication network routing, and the method comprises the steps: obtaining a signal quality parameter of a communication link and a distribution density parameter of an ad hoc network node, and combining the load state of the node and the information of a neighbor node, decision calculation is executed on a plurality of relay nodes in parallel, relay decision vectors corresponding to the relay decision vectors are generated, a plurality of candidate transmission paths are formed through evaluation, construction data blocks to be transmitted are fragmented and distributed to the corresponding optimal candidate transmission paths to be sent in parallel, all received data fragmented sub-blocks are verified and recombined, and the construction data blocks to be transmitted are obtained. And recovering a complete construction data block. A distributed relay decision based on network state feature fusion, data adaptive fragmentation based on path stability and a multipath parallel transmission and feedback optimization mechanism are adopted, so that the data transmission reliability in an underground complex environment can be improved, the transmission delay is reduced, and the dynamic optimization of network performance is realized.

This disclosure describes techniques for improving routing policy awareness in a network. The method includes detecting, by a controller, an application initiated for use at an edge node of a network. Then, generating, by an analytics engine coupled to the controller, analytical data of traffic flow at the edge node of the network wherein the traffic flow is in accordance with a routing policy for routing traffic associated with the application. Further, routing of the traffic through a path from one or more paths configured at the edge node that is in accordance with at least a Service Level Agreement (SLA) for traffic flow. Also, in response to an SLA violation during routing of the traffic, causing an action, by the controller, of routing traffic flow through another path that is in accordance with at least the SLA for traffic flow based on analytical data received of the traffic flow.

A system can execute a containerized application that comprises a microservice in a decentralized service mesh architecture, and a sidecar. The system can intercept, by the containerized application, a call from the microservice that is directed to a remote endpoint, and direct the call to the sidecar. The system can communicate, by the sidecar to an identity manager, service account credentials associated with the microservice, resulting in receiving an identity token associated with the microservice. The system can determine, by the sidecar, connectivity information of the remote endpoint based on a virtual address of the remote endpoint identified in the call. The system can communicate, by the sidecar to a token exchanger, the identity token and the connectivity information, resulting in receiving an access token and a network route to the remote endpoint. The system can relay, by the sidecar, network traffic between the microservice and the remote endpoint.

The invention discloses a shipborne communication data encryption transmission method and system based on a satellite 5G fusion network, and relates to the technical field of satellite communication encryption. Data classification and priority division: dividing the data into five types of navigation instructions according to service types, marking P1-P4 priorities, and adding information; encryption strategy selection: adding random salt values by using algorithms such as hybrid encryption, AES, DES, TEA and the like according to priorities; network routing is fused, satellite and 5G state parameters are collected, and paths are selected according to priorities; real-time encryption transmission, fragmentation and information addition are carried out, FEC is used for satellites, and HARQ is used for 5G; the transmission state is monitored and dynamically adjusted, and the parameters are synchronously encrypted during over-limit time adjustment and switching; decrypting and verifying, namely decrypting and verifying after verifying and recombining; secret key updating management, life cycle setting, KDC distribution and emergency updating are carried out. According to the method, the shipborne data transmission security and network adaptability are improved, the encryption efficiency and continuity are optimized, the cost is reduced, multiple scenes are adapted, and the security and high efficiency of maritime communication are ensured.

A system including a server and a wireless RF access node connected to a communication network is provided. The server provides a first publish-subscribe broker of one or more publish-subscribe brokers forming part of a publish-subscribe broker network. The server connects to the wireless RF access node. A first entity connects via the wireless RF access node to the first publish-subscribe broker using a unicast IP address and thereafter publishes data packets. A second entity connects to the publish-subscribe broker network via any of the one or more publish-subscribe brokers. The server provides packet distribution services via the first publish-subscribe broker for the first entity, the publish-subscribe broker network routes communications from the first entity to the second entity when the second entity is subscribed; and the data packets published by the first entity are routed through the publish-subscribe broker to which the second entity is connected.

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 discloses an underwater multi-target routing method based on an improved non-dominated sorting genetic algorithm. The method comprises the following steps: firstly, arranging sensor nodes in a target water area, networking, and encoding a feasible path from a source node to a target node by adopting a segmented structure; secondly, constructing a routing multi-target fitness function, and introducing a dynamic weighting function to form a comprehensive fitness index; and finally, grading the population by using an improved non-dominated sorting genetic algorithm, and exploring a better path through crossover and mutation operations. And designing a reference point elite selection strategy, improving the coverage of the solution set in the target space, and outputting an optimal routing path until the algorithm converges. According to the method, the dynamic balance among different optimization targets can be realized, and the link quality is considered while the energy consumption and the time delay are reduced, so that the network routing performance is improved.

The invention discloses a software and hardware cooperation system and method for satellite network routing simulation, and mainly solves the problem that an existing simulation scheme is difficult to consider high fidelity of protocol behaviors and high performance of data forwarding in a high dynamic satellite network. The system comprises a software control plane unit, a hardware data plane unit, a satellite network simulation upper computer and a switch, and the switch is bidirectionally connected with the software control plane unit, the hardware data plane unit, the satellite network simulation upper computer and the switch and serves as a data exchange platform of the system. The satellite network simulation upper computer is used for system configuration management, operation state monitoring and result visualization; the software control plane is used for executing simulation calculation and routing decision of a satellite network routing protocol and generating a standardized forwarding table item; and the hardware data plane unit performs high-speed and deterministic table lookup forwarding according to the standardized forwarding table item, and simulates a satellite resource constraint environment. According to the method, the integrity of protocol simulation details is guaranteed, meanwhile, high-efficiency forwarding performance and non-interruption updating in a high-dynamic environment are achieved, and the method can be used for routing protocol verification, network performance testing and satellite-borne algorithm evaluation of large-scale low-orbit satellite constellations.

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 discloses a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation system and a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation method. The system comprises a heterogeneous computing power prototype subsystem, a virtual simulation subsystem, a satellite-borne general computing terminal, a programmable network simulator, a heterogeneous resource management subsystem and a simulation verification system interface. Real hardware computing power characteristics are introduced through a physical board card, large-scale expansion is realized through virtual nodes, and authenticity and large-scale performance of simulation are considered; link parameters are generated according to a high-precision orbit dynamics model, and the fidelity of sky-ground network simulation is greatly improved; based on a mixed container arrangement technology, unified management and intelligent scheduling of sky, air and ground heterogeneous resources are realized, and a powerful platform is provided for verifying an advanced cross-domain collaborative algorithm; one set of system can support various simulation verification requirements of networking routing, task unloading, distributed cooperative computing, constellation cluster management and control and the like, and the research and development cost and complexity are reduced.

A system and computer-implemented method for routing an encrypted packet through a cloud enforcement network based on a metadata tag. The cloud enforcement network applies policy and routing attributions or tags outside of the encrypted packet payload in such a way as to not require an inner packet to first be decrypted. Traffic prioritization, data protection, and per application policies are achieved by using such metadata tags for internode routing without the need for DPI or decryption. Furthermore, the metadata itself can also be signed or encrypted depending on the provenance of the data. As such, applying meta-tagging external to an encrypted packet, the payload would not be needed to be decrypted during transit of the packet to express end-to-end policy and routing decisions.

A system-on-chip design method and apparatus, a system-on-chip, and an electronic device, the system-on-chip comprising: a network-on-chip, the network-on-chip comprising a network routing component, the network routing component being arranged in a top module; and a plurality of subsystem modules, wherein on-chip interconnection is realized among the plurality of subsystem modules through the network routing component.

The invention discloses a minimum-time-delay routing path generation method applied to a multi-channel unmanned aerial vehicle cluster, and belongs to the field of unmanned aerial vehicle communication network routing path optimization generation. Wherein in the link attribute calculation process, external channel input information is received to calculate network link rate information; according to the route path generation process, information such as a link connection relation and media time in an unmanned aerial vehicle cluster network is generated based on OLSR basic ad hoc network protocol broadcast, a route path with the minimum media time is selected, information transmission delay is reduced, the network throughput is improved, and the network congestion degree is reduced. According to the method, the routing path with the minimum media time can be actively selected in a high-dynamic and multi-channel unmanned aerial vehicle cluster communication environment, the information transmission reliability of the network is improved, the network delay is reduced, the throughput of the whole network is improved, and rapid control and reliable guarantee of the unmanned aerial vehicle cluster network are guaranteed.

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.

One or more systems, computer program products and / or computer-implemented methods provided herein relate to launching different versions of an enterprise multi-tenant cloud based web application in a single URL. Accordingly, a system can comprise a memory that stores computer executable components. The system can further comprise a processor that executes at least one of the computer executable components. The computer executable components can comprise an origin component that retrieves application version metadata, determines a first origin corresponding to a first version of an application and a second origin corresponding to a second version of the application, and resolves a network route to either the first origin or the second origin. The computer executable components can further comprise a token component that generates a token, embeds a claim within the token, and issues the token. The computer executable components can additionally comprise a compatibility component that selects which origin to use.

The invention provides a route selection method and device for a computing power network of an intelligent computing center cloud platform based on a predefined rule, and relates to the technical field of intelligent computing centers, intelligent computing centers and computing power infrastructures. Obtaining a destination address carried in the computing power operation data packet, wherein the destination address is a network address of the target computing power application; s2, the gateway queries a computing power network routing table based on the network address of the target computing power application, and obtains a plurality of candidate next-hop routing addresses corresponding to the network address of the target computing power application and a routing priority of each candidate next-hop routing address; s3, the gateway selects an optimal next-hop routing address from a plurality of candidate next-hop routing addresses corresponding to the network address of the target computing power application based on a predefined rule; and S4, the gateway sends the computing power operation data packet to the optimal next-hop routing address.

The application discloses a quantum key distribution network routing method and system, comprising: dividing a quantum key pool in an SDN-QKD network; based on key service requests of different security levels and the divided quantum key pool, a maximum key service request success model is constructed, and the maximum key service request success model is used to approve the key service requests; based on a minimum key consumption model, the approved key service requests are screened; based on the screened key service requests, a key resource consumption routing optimization algorithm is used to generate a final path; and based on the final path, key distribution is performed. The application improves key resource utilization, guarantees high-priority business transmission success rate, and effectively improves network load balancing degree.

The application belongs to the field of underwater acoustic routing protocol, and relates to a kind of underwater acoustic communication network routing method of dynamic optimization of communication resource.The underwater acoustic communication network includes a source node, a destination node and multiple relay nodes, and the method includes the following steps: step 1) the source node initiates the initialization of the underwater acoustic communication network, and each relay node constructs a local topology table through the exchange of metadata packets;step 2) the sending node determines a forwarding candidate set according to the position information and residual energy of the neighbor nodes;step 3) the sending node selects the relay node with the highest forwarding priority in the forwarding candidate set as the optimal relay;step 4) the sending node performs communication resource optimization to obtain communication parameter configuration;step 5) the sending node sends data packets to the optimal relay node according to the configured communication parameters;step 6) it is judged whether the receiving node is the destination node: if it is the destination node, the process is ended;if not, steps 2) to 5) are repeated until the receiving node is the destination node.

The invention provides a local area network system and a backbone network system, belongs to the technical field of computers, and particularly relates to the technical field of communication, computer networks, routing and fault detection. According to the specific implementation scheme, the regional network system comprises a plurality of network nodes, each network node comprises a plurality of detectors and a plurality of forwarding devices, the detectors are in communication connection with the forwarding devices respectively, and the forwarding devices are in communication connection with the forwarding devices included in the other network nodes respectively; wherein the forwarding equipment is used for receiving a data packet and forwarding the data packet to the detector determined based on a destination address of the data packet under the condition that the destination address of the data packet belongs to a first routing network segment of the forwarding equipment; and the detector obtains fault information based on the received data packet.

The application provides a network routing optimization method and device, electronic equipment and storage medium, belongs to the technical field of routing planning, all network devices in the network, link data between the network devices and the weight corresponding to the link data are acquired, a network graph theory model is constructed according to the network devices, the link data and the weight, the network graph theory model is pruned according to a preset source node, a preset target node and the weight, a local network graph theory model is obtained, and routing optimization is performed on the local network graph theory model based on an ant colony algorithm, so that a routing path is obtained. The network routing problem is converted into a graph theory problem, the local network graph theory model is pruned, the network scale to be routed can be reduced, the routing time is reduced, the search and routing optimization are performed in the local network graph theory model based on the ant colony algorithm, the search time is further reduced, the demand of a large-scale network is met, and the performance and efficiency of the network are improved.

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 techniques disclosed herein enable systems to enhance the efficiency of computer networking devices through a streamlined routing lookup structure for storing network routes and processing network packets. The routing lookup structure can comprise a lookup table, a set of range tables, and a default range table. The lookup table can process a portion of a network packet address with additional processing at a range table if the portion matches an entry at the lookup table. If there are no matches at the lookup table, the packet is processed by the default range table. The routing lookup structure can further include a secondary lookup table and dynamic optimization for reconfiguring the routing lookup structure to adapt to network conditions. In addition, the routing lookup structure can store new routes based on the length of the prefix. Routes that fall below a minimum length are stored in the default range table.