49 results about "Elastic network" patented technology

In one implementation, a device determines a target level of performance required by a computer network. The device forecasts usage of the computer network. The device runs simulation to determine whether replacing networking equipment in the computer network with new equipment will reduce energy consumption by the computer network and still satisfy the target level of performance, based on the usage of the computer network that was forecast by the device. The device sends, to a user interface, a recommendation to replace the networking equipment with the new equipment based on a result of the simulation.

The invention discloses a dynamic logistics network path optimization method based on a chained state routing algorithm, and belongs to the technical field of logistics network optimization, and the method comprises the steps: firstly, building a node state evaluation model through a distributed state collection mechanism based on a chained state routing protocol, and generating a dynamic elastic network topology structure; secondly, when logistics network nodes change, a logistics path is optimized in combination with a transportation cost prediction model, an emergency response punishment mechanism and a path adjustment weight coefficient; and finally, optimizing an affected path in a node abnormal state by using a local path updating mechanism. Compared with a traditional logistics model, the method has obvious advantages in the aspects of path calculation cost and response time when processing a path problem containing failure nodes, and can effectively optimize logistics path planning, reduce transportation cost and improve system robustness and resource allocation efficiency.

The invention provides a distributed large-scale anti-traceability elastic network intelligent routing method and system, belongs to the field of network communication and network security, and is suitable for intelligent routing decision optimization in a dynamic network environment. The method is based on a multi-agent reinforcement learning framework, network nodes are mapped into independent agents, and path traceability risks are blocked through local information constraints; dynamic feature aggregation of a neighbor link state is realized by adopting a lightweight graph attention network, and the local sensing efficiency of a large-scale network is improved; a QMIX algorithm is introduced, and network parameters are optimized by nonlinear fusion of a local Q value and global graph state representation through a hybrid network; and in combination with a self-adaptive exploration mechanism driven by action entropy, the sudden change scene strategy response capability is enhanced. According to the system, in military anonymous communication, dark network data transmission and cross-border sensitive services, the anti-traceability and transmission efficiency balance can be remarkably improved, the characteristics of high concealment, high elasticity and low resource consumption are achieved, and a systematic routing solution is provided for a dynamic network environment.

The invention provides a distributed large-scale anti-traceability elastic network intelligent routing method and system, belongs to the field of network communication and network security, and is suitable for intelligent routing decision optimization in a dynamic network environment. The method is based on a multi-agent reinforcement learning framework, network nodes are mapped into independent agents, and path traceability risks are blocked through local information constraints; dynamic feature aggregation of a neighbor link state is realized by adopting a lightweight graph attention network, and the local sensing efficiency of a large-scale network is improved; a QMIX algorithm is introduced, and network parameters are optimized by nonlinear fusion of a local Q value and global graph state representation through a hybrid network; and in combination with a self-adaptive exploration mechanism driven by action entropy, the sudden change scene strategy response capability is enhanced. According to the system, in military anonymous communication, dark network data transmission and cross-border sensitive services, the anti-traceability and transmission efficiency balance can be remarkably improved, the characteristics of high concealment, high elasticity and low resource consumption are achieved, and a systematic routing solution is provided for a dynamic network environment.

In one implementation, a device maintains a digital twin of a computer network. The device determines, based on the digital twin, an action to reduce energy consumption by the computer network. The device validates the action using the digital to ensure that performance of the action in the computer network will result in the computer network still satisfying one or more performance constraints. The device causes performance of the action in the computer network, when the action is deemed valid.

In one implementation, a device obtains an indication of an energy-saving action to be performed by an entity in a computer network to reduce energy consumption by the computer network. The device identifies one or more peer entities in the computer network that would be affected by the entity performing the energy-saving action. The device determines a quality of service configuration for traffic associated with the entity and the one or more peer entities. The device implements the quality of service configuration in the computer network, in advance of the entity performing the energy-saving action.

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.

In one implementation, a device identifies an action to be performed in a computer network to reduce energy consumption by the computer network. The device determines whether performance of the action in the computer network will result in a performance degradation in the computer network. The device devises a rerouting strategy for the computer network, when performance of the action in the computer network will result in a performance degradation. The device implements the rerouting strategy in advance of performance of the action in the computer network, to mitigate against the performance degradation.

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.

In one implementation, a device identifies a change to a computer network predicted to reduce energy consumption by the computer network while maintaining an acceptable level of performance. The device determines one or more conditions for the change to remain in place in the computer network. The device assesses telemetry data from the computer network to determine whether the one or more conditions were violated. The device causes the change to be reverted in the computer network, based on the one or more conditions being violated.

In one implementation, a device obtains data regarding a networking entity in a computer network and a set of possible configurations for the networking entity. The device determines a power degraded mode of the networking entity comprising one or more configurations from the set of possible configurations. The device estimates an amount of energy savings associated with activating the power degraded mode of the networking entity. The device causes the power degraded mode of the networking entity to be activated based on the amount of energy savings estimated by the device.

The invention provides a VPC network communication method and device, electronic equipment and a storage medium, and relates to the technical field of network communication, and the method comprises the steps: creating a target VPC at a cloud through a switch, and creating a VPC routing table corresponding to the target VPC; creating at least one subnet in the target VPC through the switch, and adding a routing entry corresponding to each subnet in a VPC routing table; deploying a target cloud server in a target subnet in the at least one subnet through the switch; creating a target elastic network card for the target cloud server through the switch, wherein the target elastic network card is used for providing a network interface and an IP address for the target cloud server; creating a target private line gateway through the switch, wherein the target private line gateway is a forwarding service component for providing intercommunication between the target VPC and an external network; and configuring network communication between the target cloud server and the target private line gateway through the switch. According to the method, VPC-based network communication can be realized.

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.

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 invention discloses a multi-frequency three-dimensional networking system and an elastic network control method, and the method is implemented based on the system, and comprises the following steps: based on multi-frequency three-dimensional networking, realizing multi-subnet parallel transmission through frequency division multiple access and time division multiple access; dynamically electing cluster head nodes and dividing task subnets by adopting a hierarchical clustering networking method; through elastic transmission control, interference detection and available frequency decision are carried out by adopting a cooperative interference detection method, and dynamic spectrum access is supported; elastic networking control is carried out through a multi-hop simulcasting mechanism, network signaling is broadcasted, and whole network coverage is completed in combination with a decoding forwarding strategy and a physical layer diversity receiving technology; the cluster head node executes dynamic network management and performs task subnet management, member management, dynamic time slot allocation and spectrum resource optimization, so that efficient and reliable online network control is realized, and the networking flexibility and the communication confrontation capability are improved; high-reliability, low-overhead and other multi-frequency three-dimensional networking and elastic network control thereof are realized.

A computer implemented method of determining non-intersecting primary and secondary routes between source and destination nodes in a communications network. The communication network represented by a graph data structure of nodes and edges, the edges having a weight corresponding to a resource involved in traversing the edged. The method including: defining a population set of primary routes, wherein each primary route in the population set identifies a secondary route based on a greedy route-finding algorithm applied to the graph having edges in the primary route excluded from the graph, such that the primary and secondary routes are non-intersecting routes through the graph; applying a genetic algorithm to the population set to iteratively select and crossover one or more pairs of primary routes in the population set; and selecting, from the population set, a primary route and corresponding secondary route having a lowest aggregate weight of edges.

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.

In one implementation, a device obtains telemetry data regarding a plurality of entities in a computer network. The device obtains energy consumption information for the plurality of entities in the computer network. The device trains a machine learning model to estimate energy consumption by an entity in the computer network, based on the telemetry data and the energy consumption information. The device uses the machine learning model to estimate an energy consumption for a digital twin of a particular entity in the computer network, to assess an estimated change in energy consumption by that entity were a certain action be performed in the computer 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.

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 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.