823 results about "Routing control plane" patented technology

An apparatus of a user equipment (UE), the apparatus comprising a processor, and a memory storing instructions that, when executed by the processor, configure the apparatus to receive, from a base station of an operator network, Protocol Data Units (PDUs) carrying Artificial Intelligence (AI) model data in either a control plane or a user plane, and decapsulate the PDUs to obtain and store the AI model data, wherein the AI model data is indicative of an AI model configured for inference in Access Network (AN) protocol layers at the UE.

The invention discloses a multi-tenant adaptive cooperative defense method and system in a hybrid cloud scene, and the method comprises the following steps: obtaining a remote credible proof of hardware, verifying the credibility of a tenant agent and the integrity of a code based on the remote credible proof, granting a mark, and detecting cloud information to generate a machine readable portrait containing key parameters; collecting local multi-mode log data coding embedding vectors of tenants, and after privacy processing, calculating that the abnormal confidence exceeds a threshold value by a local model to trigger current limiting or blocking; and constructing a hierarchical federated architecture containing local nodes of tenants, a regional cloud and a global control plane, encrypting aggregation parameters to generate a cross-tenant attack recognition global model and issuing the cross-tenant attack recognition global model to each tenant on the premise that log data is not out of a domain. According to the invention, integrity verification is carried out on the tenant side security agent through the trusted access mechanism, and the tenant portrait is constructed based on the trusted mark, so that the real and verifiable cooperative defense capability among a plurality of tenants is realized, and the cooperative process has dependency.

Mechanisms are provided for dynamically implementing reactive actions in edge nodes of a network in response to user equipment (UE) behaviors. Data of UE events are collected to infer UE movements and UE behavior within the network. A machine learning computer model is executed on the collected data of UE events to predict UE movements and UE behavior and their impact on edge node conditions within the network with regard to quality of service (QoS) metrics. An accuracy of the precited impacts of the predicted UE movements and UE behavior is evaluated and, based on the accuracy, reactive action(s) to execute to reduce the predicted impact of inaccurate predictions on edge node conditions with regard to the QoS metrics are determined and recommended to a control plane of the network for implementation of at least one of the one or more reactive actions on edge node(s) of the network.

The invention provides an addressing method for a strategy control network element, an application side network element and a control plane network element, and the method comprises the steps: obtaining a device address of a strategy binding network element retrieval database network element based on the local static data configuration information of the application side network element; retrieving a device address of a database network element according to the policy binding network element, and sending the control plane network element query message to a corresponding target policy binding network element retrieval database network element, so as to query an address of a target control plane network element in the target policy binding network element retrieval database network element according to the control plane network element query information; according to the address of the target control plane network element, sending the policy control network element address query request to the target control plane network element; and receiving a query result corresponding to the policy control network element address query request sent by the target control plane network element. According to the invention, the problem that the application side network element cannot acquire the IP address of the policy control network element according to the user IP address information is avoided.

An Open Radio Access Network (O-RAN) communication system includes a GNB Central Unit Control Plane (GNB-CUCP) to establish a connection with a Near-RT RIC via an E2 interface; a User Equipment (UE); a plurality of cells in a Tracking Area (TA) of the GNB-CUCP; and an O-RAN Near-Real Time (Near-RT) RAN Intelligent Controller (RIC) to host an xApp and initiate a subscription procedure with the UE. The GNB-CUCP sends cell location information of the UE to the Near-RT RIC upon a UE context release procedure, the Near-RT RIC creates and maintains a record of the cell location information received from the GNB-CUCP via the xApp, and the GNB-CUCP pages the UE in a subset of cells from the plurality of cells in the TA, the subset of cells corresponding to the record of cell location information created and maintained by via the xApp.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Provided is a method performed by a first network entity that performs a session management function (SMF) and a packet data network gateway-control plane function (PGW-C) of a mobile communication system. The method comprises the steps of acquiring, from a user equipment (UE), an indicator indicating a UE route selection policy (URSP) provisioning support in an evolved packet system (EPS);transmitting, based on the indicator, a session management (SM) policy control update request message to a second network entity that performs a policy control function (PCF) related to a session; and receiving, from the second network entity, an SM policy control update response message including URSP information generated by a third network entity that performs a PCF related to the UE.

The invention relates to an FPGA-based satellite-borne file adaptive storage and scheduling method, which comprises the following steps: defining a data plane and a control plane, the data plane being responsible for high-frequency and high-speed data processing, and the control plane being responsible for low-frequency and low-speed data management and decision making; the data plane obtains a real-time data stream to be stored and stores the real-time data stream into a data cache; monitoring the running state of the data cache in real time, generating cache state data and reporting the cache state data to a control plane; the control plane makes a strategy decision based on the cache state data to generate a target strategy instruction; the data plane obtains the instruction and carries out hardware priority judgment in combination with cache state data so as to determine a final data writing instruction; and the data plane responds to the write-in instruction, executes error correction coding processing, data write-in and file verification processing, and reports a file closing state to the control plane. The method has the advantages that the system can dynamically respond to the real-time system load, and the stability and reliability of system scheduling are improved.

The invention provides a policy control network element addressing method, an application side network element and a control plane network element, and the method comprises the steps: obtaining the addresses of a plurality of control plane network elements based on the local static data configuration information of the application side network element according to a user terminal address and a mobile communication network access external network identifier; determining a first target control plane network element, and sending a policy control network element address query request to the first target control plane network element; if the session association information of the user terminal is not queried in the first target control plane network element, acquiring an address of a second target control plane network element sent by the first target control plane network element; sending a policy control network element address query request to the second target control plane network element according to the address of the second target control plane network element; and receiving a query result sent by the second target control plane network element. According to the invention, the problem that the application side network element cannot acquire the IP address of the policy control network element according to the user IP address information is avoided.

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.

Disclosed are systems and methods for operating a configurable communication device. A network controller includes a communication interface to interface with multiple communication devices and a memory storing instructions. The network controller also includes a processor, that when executing the instructions, is configured to determine that a configurable communication device of the plurality of communication devices is to operate in a first control plane type of multiple control plane types configurable to be used by the configurable communication device. The processor is also configured to operate the configurable communication device using the first control plane type and to receive an indication that the configurable communication device is to switch to a second control plane type. Moreover, the processor is configured to cause the configurable communication device to switch to the second control plane type and operate the configurable communication device using the second control plane type.

The invention discloses a private cloud platform-based micro-service application remote main and standby disaster recovery rapid switching method, relates to the technical field of computers, and is used for solving the problems of long remote main and standby disaster recovery switching time, cold start storm, insufficient capacity evaluation and discharge strategies and complex back switching. The switching process is decomposed into controllable steps by combining real-time state feedback through a clear sequential arrangement and batch reconnection strategy of a data surface and a control surface, so that the switching time is remarkably shortened, the target of minute-level continuous availability is met, and meanwhile, the switching efficiency is greatly improved through heat set construction and standby side quasi real-time preheating before switching. Core hotspot data and indexes are loaded to the standby side in advance, it is ensured that the standby side has the high cache hit rate and index availability during master raising, and therefore the performance bottleneck caused by access of a large amount of cold data is avoided.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Disclosed is a method of determining, in a User Equipment, if a PDU session between the UE and a network, can be transferred between 3GPP and non-3GPP access, when the UE is using a Cellular Internet of Things, CIoT, optimisation, wherein the determination is performed on the basis of a Control Plane, CP, only indication and if the determination is positive, then the PDU session is not transferred.

The invention belongs to the technical field of computer network communication, and provides an RDMA-oriented reliable connection fault rapid recovery method and system, the method is executed by a first communication end, communication is established between the first communication end and a second communication end through a queue pair QP, and the queue pair QP is used for bearing service data transmission. The first communication end reserves resources after the QP enters an error state, and sends a PROBE control frame to the opposite end through the control plane queue pair; the second communication end decides to reuse the original QP or allocate a new QP (reuse an original protection domain, a memory registration area and a completion queue) according to the local QP state, and returns a QP number and a start packet serial number in an RESP frame; and the first communication end updates the local QP context and drives the state machine to switch to a ready sending state. The whole process does not need to destroy the QP and does not depend on CM handshake, the recovery time delay is less than 0.5 millisecond, and the method is transparent to the upper layer application and is suitable for the RoCE v2 network environment.

A method can include sending, by a base station central unit control plane (BS-CU-CP) to a base station central unit user plane (BS-CU-UP), a request message that includes a first parameter indicating a protocol data unit (PDU) set content ratio associated with at least one aspect of a PDU session of a wireless device. The method can also include receiving, from the BS-CU-UP, a response message can include a second parameter indicating that the BS-CU-UP supports PDU set content ratio awareness for the at least one aspect of the PDU session.

A container simulation network system based on a link autonomous agent is composed of a visual interaction module, a control plane module, a network simulation module and a resource management module. The modules perform information interaction and task collaboration through a uniform interface so as to realize automatic construction and management of the simulation network, a two-layer architecture design of network bridge containers and user containers is adopted, and each user container corresponds to one network bridge container; a link autonomous agent module is deployed in the network bridge container and is used for collecting a link state, calculating a performance adaptation degree and executing a scheduling operation bit; the visual interaction module realizes visual monitoring and interaction control of a simulation state; the control plane module is responsible for simulation scene analysis, link parameter generation and global scheduling management; and the network simulation module is responsible for calling a container generation tool to generate a specific container instance and carrying out resource monitoring and adjustment on the container.

The invention discloses an intelligent dynamic load balancing method and system based on Clico-VPP. The method comprises the following steps: acquiring a load state index of a back-end service pod; according to the load state index and a service capability coefficient corresponding to the back-end service pod, calculating a dynamic traffic allocation weight of the back-end service pod through a weighted calculation model; based on a dynamic threshold synchronization strategy, synchronizing the state of a first hash ring located in a control plane to a second hash ring located in a forwarding plane; and based on the second hash ring, determining a target pod for the input data stream through consistency lookup. A double-loop decoupling architecture is provided, hash rings of a control plane and a forwarding plane are separated, a synchronization strategy is determined through a dynamic threshold value, decision intelligence and forwarding stability are both considered, and jitter is avoided; meanwhile, a dynamic weight-driven consistent Hash algorithm is adopted, a real-time load index and Pod service capability are fused to calculate a dynamic weight, and the dynamic weight is mapped into the number of virtual nodes, so that intelligent scheduling based on capability and maximum maintenance of connection during capacity expansion and contraction are realized.

A control program executing on a computing device of a computing environment transmits control request information to an adapter module executing within the computing environment. The transmitting uses a control plane transmit queue of a set of queues. The control plane transmit queue identifies a location to store the control request information to be retrieved by the adapter module. The control program receives from the adapter module an indication of another location storing control reply information replying to the control request information. The indication is obtained from a control plane receive queue of the set of queues. The control program retrieves from the another location the control reply information and performs processing based on the control reply information.

A system for optimizing network traffic distribution including a control plane connected to a data plane. The control plane includes one or more processors and memory storing instructions that, when executed by the one or more processors, cause the control plane to: implement a reinforcement learning module configured to: model a network state space comprising interface characteristics and traffic characteristics; define an action space for allocating specific flows to specific interfaces; establish a reward function that encourages efficient utilization of bandwidth while penalizing packet loss, latency, and jitter; learn optimal flow-to-interface allocations based on the modeled state space, action space, and reward function; and implement a flow allocation module configured to generate flow allocation policies based on the learned optimal flow-to-interface allocations. The data plane including one or more network devices configured to route network traffic flows based on the implemented flow allocation policies.

A network device of a virtual switch, which includes a second network device and operates on a unified control plane, is provided. During operation, the network device maintains a link between its first port and a second port of the second network device. Here, the first link can be distinct from a second link used for exchanging data traffic of the virtual switch. The network device operates a spanning tree protocol to place the first and second ports in respective port states, which include a forwarding state and a blocked state. If the second link becomes unavailable, the network device determines that the virtual switch has split into a first segment comprising the network device and a second segment comprising the second network device. If the first port state is in the blocked state, the network device suspends communication via a respective port of the first segment.

A system for optimizing performance, managing network traffic, and enhancing user experience includes a host device a cloud computing server and controllers. The controllers execute control logic including a prediction application (PA) that obtains sensor data from the sensors, sends control and user plane data to infrastructure, and to the cloud computing servers, and accesses prior knowledge data stored within memory of the cloud computing servers. Additional control logic performs a Granger causality test on the user and control plane data, and utilizes a prediction model to generate a prediction from fused user and control plane data. A prediction verifier is applied to the prediction from the prediction model, and the PA enables the host device to adapt to dynamic wireless communications network conditions.

A variety of testing environments and techniques are disclosed. An orchestrator control plane may generate a build plan comprising a plurality of ordered steps for bootstrapping one or more services. The build plan may be generated based at least in part on one or more service plans and manifests that individually specify a deterministic process for bootstrapping a service. The orchestrator control plan may instruct a region orchestrator executing within an isolated testing environment to execute a test build of the one or more services according to the build plan. The region orchestrator may execute, as part of executing the test build, a subset of steps from the plurality of ordered steps of the build plan utilizing resources of the isolated testing environment and in an order identified by the build plan. At any suitable time, the isolated testing environment may be reset to enable subsequent test build executions.

The invention relates to the technical field of data security and privacy computing, in particular to an ODRL-based trusted data space data delivery method and system, and the method comprises the following steps: defining data use permission and constraint through an ODRL strategy, verifying a user request by a control plane based on the ODRL strategy, and recording a structured log by a data plane through a protocol adapter factory; the method has the beneficial effects that through layered architecture design, ODRL deep integration, protocol irrelevant adaptation and full-link security auditing, the core problems of an existing data delivery scheme in the aspects of authority management, transmission flexibility, performance and compliance are systematically solved, and a universal and highly reliable technical solution is provided for trusted data space construction; and the data circulation efficiency and security are remarkably improved, and the method has wide industrial application value.

Provided are a wireless communication method, a terminal device, and a network device. The method includes: a first terminal device receives first information from a network device. The first information includes one or more of: first cell barring information used for indicating whether a first cell allows a first-type terminal device to access; second cell barring information used for indicating whether the first cell allows a second-type terminal device to access; satellite identification information of the first cell; and first instruction information used for instructing the first terminal device to switch from a user plane optimization mode to a control plane optimization mode; the first-type terminal device and the second-type terminal device are terminal devices having NTN capabilities, and the NTN capabilities of the first-type terminal device and the second-type terminal device are not completely the same, facilitating the improvement of the possibility of successful communication of terminal devices.

A computing system may access a source device configured to store device traffic in a source device queue. The computing system may launch, by one or more worker nodes of a control plane of the computing device, a destination device. The computing system may transmit a source device state to the destination device. The control plane worker nodes may configure the destination device from the source device state. The computing system may instruct the source device to pause storing the device traffic to the source device guest memory. The computing system may store dirty page information in the computing system memory. The computing system may transmit the dirty page information to the destination guest memory. The computing system may instruct the destination device to resume storing the device traffic to the destination guest memory.

Some embodiments of the invention provide a method for link optimization in an SD-PMN defined over at least a first site of a first entity and a second site of a PMN-provider. The method configures a first portion of the SD-PMN deployed at the first entity's first site, the first portion of the SD-PMN including at least one or more physical access points for connecting user devices at the first entity's first site to the SD-PMN and one or more control plane components of the SD-PMN. The method configures a first edge router deployed at the first entity's first site to use multiple links including at least one commercial Internet network link between the first edge router and a gateway router deployed in the PMN-provider second site to reach the PMN-provider second site and to perform a multi-link optimization process on the multiple links to establish a secure tunnel for use in communicating with the gateway router.

Disclosed are systems and methods that offload the work traditionally performed by a thick software client operating on each container instance of a cloud provider network with a thin and generalized agent that can be instructed in a piece-wise manner to perform operations as instructed by a workload manager executing on a control plane that is separate from the container instance. The workload manager, executing on the control plane of a cloud provider network, may precompute a set of operations and order of execution of those operations in the control plane and present those operations in a controlled manner to the agent that executes each operation as instructed. The agent executing on the data plane, rather than polling an orchestrator for work and then establishing the runtime environment based on a received Application Specification, awaits an operation or task that is pushed to the agent from the control plane.

The invention relates to a priority-based high-visibility stream-by-stream data packet sampling method and system. Comprising the following steps: step 1, flow initiation and priority marking; step 2, flow establishment and controller decision making; step 3, rule issuing and strategy execution; and step 4, data forwarding, scheduling and sampling: a priority scheduling mechanism of a data plane and global optimization of a control plane are decoupled and coordinated. In a data plane, a terminal host marks a degradation priority for a data packet according to the number of bytes sent by a stream, and a switch performs strict queue scheduling and probability sampling based on the priority. In a control plane, a controller carries out collaborative modeling on the configuration of routing, sampling probability and degradation threshold as a nonlinear optimization problem with maximization of sampling utility as a target, and an efficient online primitive-dual interior point method is adopted for solving. According to the method, high visibility and load balancing are finally ensured, and meanwhile, the control and calculation overhead is remarkably reduced.

A system is disclosed for providing inter-system mobility in integrated LTE and WiFi systems. A control plane interface, referred to as the S1a-C interface, is defined between a trusted WLAN access network (TWAN) and a mobility management entity (MME) comprised in an LTE wireless access network. A user plane interface, referred to as the S1a-U interface, is defined between the TWAN and a server gateway (SGW) in the LTE wireless access network. The MME operates as a common control plane entity for both LTE and TWAN access, while the SGW operates as a user plane gateway for both LTE and TWAN. The integrated MME and SGW allow for user equipment (UE) to access the capabilities of a packet data network (PDN) through either the LTE access network or TWAN.

In general, the present subject matter relates to prioritizing random access channel layer-less (RACH-less) Layer 1 / Layer 2 triggered mobility (LTM). In some implementations, prioritizing RACH-less LTM may include receiving, at a serving distribution unit (DU) of a base station, information indicating RACH-less handover configurations for multiple LTM target cells of the base station or timing advance information for each of the multiple LTM target cells from an aggregation unit control plane of the base station; identifying, at the serving DU, at least one target cell to which a RACH-less handover of a service for a user equipment (UE) may be performed based on the received information; and selecting, at the serving DU, one of the identified at least one target cell for handover from the serving DU of the service for the UE and triggering a handover of the service to the selected target cell.