27 results about "Elastic network" patented technology

The embodiment of the invention relates to a resource configuration method and device, computer equipment and a storage medium, when it is detected that a first virtual private cloud creates a product instance, bottom layer resources corresponding to the product instance are deployed to a target subnet of a second virtual private cloud, and a target address field is preset in the second virtual private cloud; the target address field comprises a target subnet; binding an elastic network card in the first virtual private cloud with a cloud server of a second virtual private cloud to enable the first virtual private cloud and the second virtual private cloud to communicate through the bound elastic network card; and configuring the underlying resources of the product instance in the communication process. Therefore, the bottom layer resource of the product instance of the first virtual private cloud can be deployed in the fixed second virtual private cloud, and communication between the two virtual private clouds is constructed, so that configuration of the deployed bottom layer resource is realized, direct configuration of the bottom layer resource on a user side is avoided, and the security of cloud product resource deployment is improved.

The utility model discloses an elastic protection structure of a network security interface. The elastic protection structure comprises a gateway and a protection cover, a plurality of sets of network cable interfaces are arranged on the back of the gateway, a frame is fixedly installed on the rear wall of the gateway and located at the positions of the network cable interfaces, sliding grooves are symmetrically formed in the two sides of the inner wall of the frame, the protective cover is movably installed in the sliding grooves, guide rods are vertically and fixedly installed in the sliding grooves, the guide rods penetrate through the two sides of the protective cover, and springs are arranged on the guide rods in a sleeving mode. The spring is arranged at the bottom of the protective cover, a support is integrally formed above the outer wall of the protective cover, and an elastic network cable buckle is integrally formed at the top of the support. According to the utility model, the problems that dust and foreign matters are easy to enter a traditional network interface, network cable connection is unstable and operation is inconvenient can be effectively solved, and a firm guarantee is provided for reliable operation of a network system.

The embodiment of the invention provides a database instance isolation method and system and a host machine, the database instance isolation method is applied to the host machine, at least two resource objects running database instances are deployed on the host machine, and the database instances running in the at least two resource objects belong to different tenants; an isolation component is configured in each resource object, the isolation components are used for performing resource management and interaction management on the resource objects, and running environments among the resource objects are isolated through the resource management and the interaction management; a target elastic network card in a target private network associated with the target tenant is also mounted in each resource object, and communication networks among the resource objects are isolated by mounting the target elastic network card in the target private network.

In one implementation, a device receives one or more constraints from a user interface regarding an acceptable level of performance of a computer network. The device forms, based on the one or more constraints, a policy to control performance of actions in the computer network to reduce its energy consumption. The device determines whether a particular action to reduce energy consumption by the computer network would violate the policy. The device causes performance of the particular action in the computer network, when doing so does not violate the policy.

Provided in the present disclosure are a database instance isolation method and system, and a host machine. The database instance isolation method is applied to a host machine. At least two resource objects running database instances are deployed on the host machine, and the database instances running in the at least two resource objects belong to different tenants. Each resource object is configured with an isolation component, wherein the isolation component is configured to perform resource management and interaction management for the resource object and to isolate runtime environments of the resource objects by means of the resource management and the interaction management; and each resource object has further attached a target elastic network interface in a target private network associated with a target tenant, wherein communication network isolation between the resource objects is achieved by means of attaching the target elastic network interface in the target private network.

The embodiment of the invention relates to a container group instance configuration method and device, computer equipment and a storage medium, and the method comprises the steps: when a container arrangement platform receives a data processing request sent by a client, scheduling a container group instance according to the data processing request, and operating the container group instance on a target cloud host; an elastic network card is configured for the first virtual private cloud where the client is located, the elastic network card is mounted to the target cloud host, and the communication address of the elastic network card is the first communication address; a first communication address is configured for the auxiliary network card of the container group instance. Therefore, when the data processing request is received, a network card can be created in the virtual private cloud where the client is located and mounted on the cloud host where the container group instance is located, so that the container group instance and the client can communicate through the mounted network card, cross-VPC communication is achieved, the client data interaction efficiency is guaranteed, and the user experience is improved. Original network configuration does not need to be modified, and deployment flexibility and communication security are improved.

According to some embodiments, system and methods are provided, comprising receiving, from a network configuration module, configuration data at a network driver of a communication network; configuring the network driver based on the received configuration data; receiving one or more data packets at the network driver from an application; determining that one or more segregation features are present in the data packet based on the received configuration data; transmitting the one or more data packets based on the one or more segregation features; and controlling one or more operations of an installed product based on the transmitted one or more data packets. Numerous other aspects are provided.

The invention discloses a high-speed train suspension system fault prediction method based on EN-TSK, and the method comprises the following steps: 1, obtaining fault data, and carrying out the normalization processing; step 2, clustering the normalized data through a clustering algorithm, and dividing the data into a plurality of subsets according to categories to form a preamble of a fuzzy rule; 3, performing feature selection on the data in the subsets and performing model sparse processing on the TSK fuzzy system; 4, obtaining a consequent of a fuzzy rule from the features after feature selection through an elastic network; and 5, inputting the features after feature selection and the fuzzy rule into a TSK fuzzy system, and carrying out fault prediction. According to the method, the problems of prediction precision reduction and poor generalization performance possibly caused when a nonlinear system is processed by a traditional method are solved, and the reliability of suspension system fault prediction is improved.

The application relates to a network traffic load balancing method and device, computer equipment and a storage medium, and relates to the technical field of network communication. The method comprises the following steps: obtaining target network traffic sent by a host side, determining an elastic network card to which the target network traffic belongs, a sending queue to which the target network traffic belongs, and a service to which the target network traffic belongs, and determining a traffic identifier of the target network traffic according to the elastic network card to which the target network traffic belongs, the sending queue to which the target network traffic belongs, and the service to which the target network traffic belongs; determining a physical port number corresponding to the traffic identifier in a link aggregation group according to a preconfigured port mapping table; the port mapping table is determined based on network traffic requirements configured by the host side; the link aggregation group is used for realizing network traffic requirements of different services in each host side and sharing physical link bandwidth; and the target network traffic is shunted to a physical port corresponding to the physical port number, so that the physical port processes the target network traffic. The method can improve load balancing stability.

The present application relates to computer network technical field, specifically for a kind of configuration VPC multi-availability zone isolation FIP network method and system, comprising the following steps: in product configuration file, the FIP network name corresponding to VPC multi-availability zone is configured;Tenant logs in console interface, click to create virtual machine private network, select the availability zone of VPC, create VPC under two availability zones;Tenant logs in console interface, check virtual private network list;Tenant logs in console interface, create elastic network card;Beneficial effect is: the configuration VPC multi-availability zone isolation FIP network method and system proposed in the present application, when VPC is created in virtual private network console, availability zone is selected, and the corresponding FIP network is obtained according to availability zone.The subnet availability zone under VPC is consistent with the selected VPC availability zone by default.Different FIP networks in different availability zones are realized by configuring different FIP networks under VPC multi-availability zone, and cloud resources in the same availability zone can be interconnected through FIP network.

This invention discloses a virtual network control method, apparatus, device, and storage medium. The method includes: after a virtual network interface receives an operation event for a terminal object, executing the operation event in an edge virtual switch; sending the elastic network interface information of the terminal object and the operation event to a virtual private cloud node controller; the virtual private cloud node controller storing configuration information of elastic network interfaces for different terminal objects; and executing an operation corresponding to flow table information issued by the virtual private cloud node controller; the flow table information is obtained by the virtual private cloud node controller by matching the operation event, the elastic network interface information, and the configuration information of the elastic network interfaces for different terminal objects. The technical solution provided by this invention can unify the network management scheme for virtual machines and containers, and reduce the cost of network management for virtual machines and containers to a certain extent.

This application relates to a gateway determination method, apparatus, computer device, and storage medium. The method includes: determining whether a target association entry containing the protocol address exists in a preset association flow table based on the protocol address of the target virtual network interface card (NIC) to which the data to be transmitted belongs; the preset association flow table is used to indicate whether the target virtual NIC is associated with a flexible network address; if it exists, determining the target gateway for the data to be transmitted based on the target association entry and the routing address corresponding to the target virtual NIC; if it does not exist, determining the target gateway for the data to be transmitted based on the protocol address and routing address of the target virtual NIC. This method can accurately determine whether a target virtual NIC is associated with a flexible network address by setting a preset association flow table, and accurately determine the target gateway for the data to be transmitted, avoiding gateway selection confusion caused by identical routing configurations of target gateways, and further improving the accuracy of gateway selection.

Provided in the embodiments of the present application is a message forwarding method. A first network device may acquire a data message, wherein the data message comprises elastic slice information, and the elastic slice information gives an instruction to use an elastic network slice to forward the data message; and on the basis of the elastic slice information, the first network device uses the elastic network slice to forward the data message, wherein resources of the elastic network slice are resources that can be preempted, in other words, the resources of the elastic network slice can be occupied by other services which do not belong to the elastic network slice, thereby ensuring the quality of service of the other services. It can be seen therefrom that, by using the solution, network resources can be rationally utilized, such that more services can be transmitted by means of a network, and the quality of service provided for the services is ensured to the greatest extent. In an example, if there is a need to transmit a new service in the network, an elastic network slice can be used to carry the new service, and thus the quality of service of other services is not affected by the addition of the new service.

The invention relates to a dynamic balance capability evaluation method based on an inertial sensing signal and an integrated elastic net, which comprises the following steps: collecting the inertial sensing signal, and carrying out feature extraction on the inertial sensing signal to obtain feature data; processing the feature data, and inputting the processed feature data into a dynamic balance capability evaluation model to obtain a dynamic balance capability evaluation result; the dynamic balance capability evaluation model is obtained by training an integrated elastic network model by using a training set; the training set comprises original feature data and labels thereof; in the training process of the training set, the integrated elastic network model is trained through self-service sampling training data and a dynamic weight adjustment strategy. According to the method, an integrated elastic network (E-E-N) model integrating multi-dimensional feature extraction and a self-service sampling technology is provided, and the prediction efficiency of high-risk groups is remarkably improved.

Methods and systems for resilient network communication are provided. In one aspect, a network includes multiple West NEs, spine elements, and East NEs. Each element has multiple physical communication interfaces. A working communication path connects the West NE to the East NE through a spine element. A protection communication path connects that West NE to that East NE through a different spine element. The working and protection communication paths terminate at the West NE and East NE at maintenance end points. A protection group is formed of the working communication path and the protection communication path. The protection group maintains a state designating an active path and a standby path. Maintenance groups at the spine elements monitor continuity messaging for their associated maintenance endpoints to determine network health. Faults and other disruptions to network health are overcome by switching states within the ELPS protection group. Service assignment is optimized.

A cloud system based on a public cloud service including a virtual private cloud (VPC) and a load balancer. The VPC includes a first subnet, a second subnet, and a third subnet. The load balancer includes a first elastic network interface ENI and a second ENI. In the cloud system provided in this solution, when sending a request packet to a second instance in the second subnet, a first instance in the first subnet forwards the packet to a packet processing service node in the third subnet via the first ENI and the second ENI. In this way, the packet is forwarded by the packet processing service node in the third subnet without additional packet header encapsulation, thereby simplifying a packet processing operation, and improving performance of the cloud system.

A data transmission method based on a cloud network, a device, and a medium are provided. The method includes: receiving a first data flow transmitted through a first elastic network interface in an elastic network interface pair connected to a first cloud server, in which the elastic network interface pair includes the first elastic network interface and a second elastic network interface, and the first elastic network interface is configured to transmit a data flow to a second cloud server through the second elastic network interface connected to the second cloud server; and when it is determined that the first data flow is transmitted through the elastic network interface pair, querying an address of the second elastic network interface in a fast channel, and forwarding the first data flow to the second cloud server based on the address of the second elastic network interface.

This invention relates to the field of intelligent transportation technology, specifically a digital system for traffic safety facilities based on intelligent connected vehicles. The system acquires facility status and traffic environment data in real time through a data acquisition module; a data processing module constructs a heterogeneous, fusion-based, self-healing, and resilient network to achieve dynamic scheduling and fault self-healing of multi-protocol links, generating structured real-time data streams; a strategy output module constructs a traffic facility association map, uses a diffraction chain pre-simulation sandbox to perform risk path deduction, and generates a risk pre-control strategy set; a system optimization module parses and executes strategies through a compensatory control engine, and achieves closed-loop optimization by combining effect quantification evaluation. This invention, by deploying an adaptive control loop of detection input – data link – strategy generation – signal drive – parameter optimization, completes the logical leap of signal control from open-loop response to feedforward control, and from fixed parameters to dynamic generation, significantly enhancing the throughput of road network nodes and the utilization rate of spatiotemporal resources.

The invention provides a comprehensive monitoring system for a hydropower station, which constructs a high-fidelity virtual model of power station equipment through a total-factor digital twin engine module, predicts the state of the equipment and provides situation pre-judgment capability. A deterministic transmission network which can be dynamically reconfigured is constructed by means of an intelligent elastic network architecture module, and differentiated service quality and transmission reliability are guaranteed. And the multi-modal data fusion center integrates and fuses multi-source heterogeneous data and a prediction result to generate unified panoramic situation awareness information, so that a comprehensive basis is provided for decision making. And the intelligent strategy generation module can form a distributed cooperative control strategy, so that the intelligence and cooperative efficiency of system control are improved. And the disaster recovery autonomous recovery module realizes rapid positioning and automatic recovery of system faults by using the strategy and the panoramic information. And finally, an intelligent resource scheduling module ensures efficient utilization of system resources and smoothness of overall operation. Therefore, comprehensive improvement of operation efficiency, safety and reliability is finally achieved.

In one implementation, a device queries an ontology that represents entities in a computer network and their relationships for a particular topology in the computer network. The device computes a mathematical system that represents traffic in the particular topology, based on traffic for only a portion of the particular topology. The device uses the mathematical system to compute traffic in the particular topology for a potential change to the particular topology expected to reduce energy consumption by the computer network. The device causes, based in part on the traffic computed using the mathematical system, the potential change to be made to the computer network.

The application provides a clustering analysis method and device based on an elastic network, including: for a to-be-solved data set to be subjected to clustering analysis, calculating a position update momentum corresponding to each elastic node in the elastic network according to the energy function, and controlling each elastic node to move in a direction of a preset clustering center according to the position update momentum; introducing a new competition mechanism between neurons according to the Bandit idea, and updating the position of a winning neuron to the position of a target data point through competition to update the elastic network; detecting whether the updated elastic network satisfies a clustering termination condition; if the clustering termination condition is satisfied, determining each elastic node in the elastic network as a clustering center, and clustering a plurality of data points according to the determined clustering center to obtain a final clustering result. Through the application, the clustering quality and solving efficiency are improved.

The invention discloses a fault diagnosis model training and application method and device, and a medium, and relates to the technical field of anode fault diagnosis, and the fault diagnosis model training method comprises the steps: obtaining a training set; the training set comprises sample performance influence data of the aluminum electrolysis cell and an anode fault type corresponding to each piece of sample performance influence data; taking the sample performance influence data as input, taking the anode fault type corresponding to the sample performance influence data as a label, training a fault diagnosis model, and obtaining a trained fault diagnosis model; the fault diagnosis model is a regularization kernel extreme learning machine, and the regularization kernel extreme learning machine introduces an elastic network regularization formula into the kernel extreme learning machine, so that the over-fitting phenomenon is significantly reduced, the generalization ability of the model is improved, and the training speed of the model is improved.

In one implementation, a device assigns a budget to a bidding agent associated with a networking entity in a computer network. The device obtains a bid from the bidding agent selected by the bidding agent based on the budget. The device conducts an auction using the bid. The device excludes the networking entity from being eligible for performance of an energy-saving action, based on a result of the auction.

The invention provides a corn breeding intelligent question-answering system based on a large language model, which comprises an infrastructure layer, a knowledge processing layer, an intelligent layer, a business layer and a user layer, and is characterized in that the infrastructure layer comprises basic resources of virtualization, an elastic network, a cloud server and an NAS (Network Attached Storage); the knowledge processing layer is used for effectively processing and organizing knowledge to form structured knowledge resources; the intelligent layer is used for intelligently applying and analyzing knowledge and providing intelligent support for the business layer; the business layer is used for constructing a weeding platform; the user layer interacts with the millet platform through terminal equipment to obtain various services provided by the system, and the system integrates mixed retrieval, context understanding and distributed task processing, and specially provides professional intelligent question and answer services for the corn breeding field. And mixed retrieval is adopted, synonym replacement is integrated, the retrieval accuracy and the recall rate are improved, streaming response, real-time answer pushing and buffer area and performance optimization are achieved.

The application particularly relates to a cloud server multi-elastic network card routing automatic configuration method and device. The cloud server multi-elastic network card routing automatic configuration method, when a new elastic network card is added after the cloud server is started, a Udev device manager persistently adds a device name of the new elastic network card, and a custom script provided in a device event notification calling scheme is used to realize input of a network card management configuration file of the new elastic network card device; after receiving the device event notification sent by the Udev device manager, the custom script calls a DHCP client, triggers a DHCP Hook mechanism, and configures and manages the corresponding network card device. The cloud server multi-elastic network card routing automatic configuration method and device can realize the availability of the network card without additional manual operation under the premise that the operating system supports hot plug, save the time for manual configuration when the elastic network cards of the cloud server are operated in batches, and improve the accuracy of the configuration.

The invention relates to the field of test equipment, and discloses an elasticized interlaced yarn fatigue resistance test processing device, which comprises a connecting seat, a fixed gripping mechanism is arranged on the surface of the connecting seat, the fixed gripping mechanism comprises a motor, a sliding seat is fixedly connected to the upper end of a sliding block, the sliding seat is elastically connected with an extrusion block through a spring, and the extrusion block is fixedly connected with the motor. The bottom end of the clamping block is fixedly connected with a fixed block, the surface of the sliding block is fixedly connected with a connecting plate, and a protection mechanism is arranged on the surface of the connecting base. According to the device, the fixed grabbing and clamping mechanism is arranged, the elasticized interlaced yarn is wound on the winding wheel, the motor drives the sliding block to move to clamp the elasticized interlaced yarn, stable clamping of the elasticized interlaced yarn can be achieved, it is avoided that the yarn body slips off to affect the result in the test, the device adapts to yarn bodies of different specifications by means of a spring and a sliding structure, the adaptability is high, and the testing efficiency is high. And a plurality of groups of winding wheels are arranged, so that a plurality of groups of elasticized interlaced yarns can be tested simultaneously.

A gateway determination method, comprising: on the basis of a protocol address of a target virtual network interface card to which data to be transmitted belongs, determining whether there is a target association table entry including the protocol address in a preset association flow table (202), wherein the preset association flow table is used for indicating whether the target virtual network interface card is associated with an elastic network address; if there is a target association table entry including the protocol address in the preset association flow table, on the basis of the target association table entry and a routing address corresponding to the target virtual network interface card, determining a target gateway of said data (203); and if there is no target association table entry including the protocol address in the preset association flow table, on the basis of the protocol address of the target virtual network interface card and the routing address of the target virtual network interface card, determining the target gateway of said data (204).