119 results about "Management plane" patented technology

A cloud-based architecture includes a cloud-based network management system (NMS) that provides the management plane and one or more cloud-based NAC systems that provide NAC services, including end-point device authentication. The cloud-based NAC system may have multiple groups of authentication server instances. Each group may have multiple authentication server instances to allow the authentication service provided by the group to serve more client devices than a single authentication server instance alone. Different Groups can be configured differently to serve different tenant sets.

The invention provides a satellite-borne computing center system, in particular to a satellite-borne computing center system with high performance and high computing power, which comprises a data interaction module, a task management module, an artificial intelligence AI module M1 and an artificial intelligence AI module M2. The data interaction module is an input and output interface for high-speed data processing; the task management module serves as a task scheduling center and distributes calculation tasks to the AI module; the artificial intelligence AI module M1 and the artificial intelligence AI module M2 adopt domestic and imported AI chips, and the artificial intelligence AI module can work in an RC mode and an EP mode, provides computing power guarantee for satellite-borne high-computing-power computing tasks, and has the characteristics of flexible expansion and agile deployment. All the modules are interconnected through a serial port management plane, a gigabit network control plane, a PCIE data plane and a power supply plane, and control and data interaction between processors are achieved.

An X-centric network architecture and associated methods are provided. The network architecture provides comprehensive control and processing functions that support heterogenous XaaS services. For different XaaS services, the network architecture supports the activation / selection of different functions / interfaces. The network architecture has a control / management (C / M) plane that includes a mission manager (MM) that manages a mission comprising tasks associated with heterogenous services. The network architecture also has a mission data plane (MDP) coupled to the C / M plane. The MDP plane includes processing functions (PFs) required for the tasks and also includes data plane functions (DPFs) that are configured to interface a PF of a XaaS service to a PF of a different XaaS service. The network architecture also has one or multiple XaaS module(s) which may be provided by third parties as plug-in module(s). Each XaaS module is associated with a XaaS service, one of multiple XaaS service controller(s) (XC), and one or multiple PF(s) / DPF(s) conducting corresponding tasks. Detail procedures, interfaces, and signals for mission execution and device accessing a mission (mission access) are described in the associated methods.

A cellular security system that uses multiple policies to protect a cellular network against various threats in a cloud-based environment. The cellular security system includes a tenant with multiple cellular devices, multiple tunnels that receive and route traffic, monitor traffic, capture real-time traffic attributes, and detect anomalies. The cellular security system further includes an anomaly detection model, an alert generator, and an anomaly reporter. The anomaly detection model retrieves baseline profiles from a threat database, loads policies related to a threat, and compares real-time traffic features with baseline profiles. The anomaly detection model further applies an anomaly detection algorithm to a traffic instance, assigns an anomaly score, and raises a flag for anomaly detection. The alert generator sends an alert to the tenant in the cloud-based environment, and the anomaly reporter notifies a management plane for further remediation of the anomaly.

Method for implementing a dynamical antenna array reconfiguration through a C-Plane within an O-RAN, the method includes: receiving, by a distributed unit (O-DU) from a radio unit (O-RU), configuration capability information via management plane (M-Plane) messaging from the O-RU; receiving, by the O-DU from a higher-layer network function, a request to reconfigure an antenna array; based on the configuration capability information from the O-RU and based on the request to reconfigure the antenna array from the higher-layer network function, determining, by the O-DU, an antenna array configuration supported by the O-RU; and applying, by the O-DU, the supported antenna array configuration via C-Plane messaging or M-Plane messaging to the O-RU.

The invention relates to the field of spaceflight, in particular to a VPX standard-based satellite-borne digital-analog hybrid communication system, which comprises an interaction panel, a management and control module, a function module, a signal plane and a power supply module, the interaction panel comprises a front panel and a back panel; the management and control module is connected with the interaction panel and the function module and is used for integrating management strategies and communication protocols, limiting specific task functions and monitoring working states; the function module is installed on the backboard, interacts with external equipment and is used for executing specific task functions. The signal plane comprises a data plane, a control plane and a management plane; the power supply module is connected with the control module, the function module and the signal plane. High-speed digital-analog mixing is achieved in a single communication terminal, the standardization and universality degree of a communication system is improved, signal separation of a data plane, a management plane and a control plane is achieved, digital-analog signal interference can be effectively avoided, certain design flexibility is achieved, the development period is shortened, and development expenditure is reduced.

The invention discloses a data-driven unmanned aerial vehicle cluster digital twin network binding routing method. According to the method, a tight coupling dependency relationship between data transmission and link control is relieved, and a management plane-control plane-data plane decoupling unmanned aerial vehicle cluster network architecture is constructed. The management plane decides a link weight with the help of a depth deterministic strategy gradient learning method by taking minimization of time delay and packet loss probability as optimization targets. And the control plane formulates a forwarding strategy according to the Floyd shortest path algorithm and the weighted topological graph and issues the forwarding strategy to the data plane. And the unmanned aerial vehicle nodes in the data plane concentrate on data forwarding to realize execution of binding routing. A simulation result shows that the link weight is adaptively adjusted by adopting the method, and compared with a traditional routing algorithm with a fixed link weight, the average end-to-end time delay and the packet loss rate can be effectively reduced, and the network service quality is improved.

A method for wireless communication performed by a distributed unit (DU) includes receiving, from a radio unit (RU), a management-plane message including information about a control-plane message supported by the RU, generating, based on the management-plane message, a first control-plane message including a field indicating a first user equipment identifier (UE ID) and a first section extension field, and transmitting, to the RU through a fronthaul interface, the first control-plane message during a time period longer than a slot. The first section extension field includes a parameter indicating a number of UE IDs of a user associated with the first UE ID.

An apparatus, the apparatus includes a distributed unit (O-DU), the O-DU configured to receive, from a radio unit (O-RU), configuration capability information for implementing a sleep mode and / or a TRx control method via management plane (M-Plane) messaging. The O-DU receives, from a higher layer network function, a request to reconfigure an antenna array. The O-DU determines a sleep mode type and / or a TRx control method supported by the O-RU based on the configuration capability information from the O-RU and based on the request to reconfigure the antenna array from the higher layer network function. The O-DU applies the supported sleep mode type and / or TRx control method via a control plane (C-Plane) messaging or M-Plane messaging to the O-RU based on the supported sleep mode type and / or TRx control method.

The invention discloses an equipment intelligent operation and maintenance prediction system and method based on deep learning, particularly relates to the field of data communication networks, and is used for solving the problem of inaccurate positioning caused by separation of a prediction conclusion and a detection receipt. The method comprises the following steps: receiving operation and maintenance detection receipts from a management plane, extracting a path identifier and a time identifier to generate a measurement path set, establishing a receipt sequence index, reading a prediction abnormal conclusion, and completing registration calculation of a fragment through significance probability and a time mark coincidence significance probability in the measurement path set; performing Fisher merge check to obtain a merge saliency result, cutting to generate a candidate link segment set, expanding port configuration and forwarding relation check consistency in a topology view, outputting a positioning result, retrieving an operation and maintenance knowledge base based on the positioning result to generate an operation list, and completing dual consistency check to form an executable version; and recovering a new operation and maintenance detection receipt verification positioning result adjustment and maintenance rule item in the processing window, issuing a rule version index, and writing back the metadata.

A radio unit management system (RUMS) for controlling an open radio access network (O-RAN) radio unit (O-RU) based on an O-RAN standard includes a fronthaul interface connected to a fronthaul and configured to receive data transmitted and received between a plurality of O-RAN distributed units (O-DUs) and a plurality of O-RUs, and a plane information processor configured to classify U-Plane (User Plane) data, C-Plane (Control Plane) data, S-Plane (Synchronization Plane) data, and M-Plane (Management Plane) data among the data received through the fronthaul interface. The plane information processor is configured to process the C-Plane data, the S-Plane data, and the M-Plane data, and not to process the U-Plane data.

A technique, comprising: creating at a management plane of a communication network a register of services and / or a register of producers of services in the communication network; and based on at least one of the registers, providing to a consumer information about one or more producers providing services associated with one or more service attributes indicated by the consumer and / or information about one or more services associated with one or more service attributes indicated by the consumer.

Aspects of the subject disclosure may include, for example, communicating management plane (M-plane) data at a first port of a radio unit (RU), the RU being one RU of a set of radio units (RUs) at a cell site of a network operator, the M-plane data related to management and control of the RU, wherein the communicating M-plane data comprises communicating the M-plane data with a distributed unit (DU) over an M-plane segment, and initiating communication of the M-plane data at a second port of the RU, the second port configured for data communication over an alternate M-plane segment to a second RU of the set of RUs for forwarding the M-plane data to the DU over a second M-plane segment between the second RU and the DU, wherein the initiating communication is in response to an interruption in the communicating M-plane data.Other embodiments are disclosed.

Techniques for combining the functionality of fabric interconnects and switches (e.g., Top-of-Rack (ToR) switches) into one network entity, thereby reducing the number of devices in a fabric and complexity of communications in the fabric. By collapsing FI and ToR switch functionality into one network entity, server traffic may be directly forwarded by the ToR switch and an entire tier is now eliminated from the topology hierarchy which may improve the control, data, and management plane. Further, this disclosure describes techniques for dynamically managing the number of gateway proxies running on one or more computer clusters based on a number of managed switch domains.

Systems, methods and products for blockchain distributed networks, including software defined networks, are provided, that include a management plane blockchain for distributing public keys and other management functions, a control plane blockchain for configuring how to communicate data, and a data plane blockchain to communicate data, including private keys, that each interact with artificial intelligence and use quantum generated random numbers for encrypted keys and other processes, and which can be controlled by human users, artificial intelligence users, or a combination of both users.

Apparatus and methods for radio unit (RU) joint phase-time array (JPTA) capability for fronthaul communications. A method performed by a radio unit (RU) includes transmitting, to a distributed unit (DU) via a management-plane (M-plane) of a fronthaul interface, information indicating support for joint phase-time array (JPTA) beamforming, transmitting, to the DU, beamforming capability information associated with a frontend architecture of a transceiver of the RU, and receiving, from the DU, a JPTA configuration based on the beamforming capability information. The method further includes identifying a JPTA beam to apply based on the JPTA configuration and transmitting, to one or more user equipment (UEs), the JPTA beam.

This application discloses a natural language-driven edge-cloud collaborative intelligent operation and maintenance system and its control method, belonging to the field of intelligent operation and maintenance technology. The system includes a management plane, a control plane, an edge agent, an intelligent operation and maintenance center, a task center, and a skill center. The intelligent operation and maintenance center uses a directed graph state machine engine to convert natural language operation and maintenance goals into executable steps. The task center atomically distributes tasks to the edge agent and streams execution fragments. The skill center implements version management and AI-assisted generation of operation and maintenance skills. This invention achieves a fully automated closed loop from understanding operation and maintenance intentions to edge execution and knowledge accumulation, significantly shortening fault repair time, improving operation and maintenance security and knowledge reuse capabilities, and has outstanding substantive features and significant progress.

Provided in the embodiments of the present disclosure are a method, apparatus and system for model training. The method may comprise: a network management device acquiring training data for training a first part of a bilateral model, wherein the bilateral model comprises the first part to be deployed at a network device and a second part to be deployed at a terminal device; performing model training on the basis of the training data, so as to obtain the first part; and sending the first part to the network device. Exemparily, the training of the second part may be completed by a server or the network management device. In this way, the network management device on a management plane assists in the training process of the bilateral model in an air interface. Specifically, at least the first part is trained and deployed at the network device, so as to support the use of the bilateral model in the air interface.

A method, apparatus, and system for Service Management and Orchestration (SMO) and distributed unit direct control network energy saving (NES) using an O1 interface may be provided and may include, sending, by an Open Radio Access Network (O-RAN) Distributed Unit (O-DU), network energy saving (NES) information comprising at least one of network traffic, load performance measurements, and Key Performance Indicators (KPI's) to a service management and orchestration (SMO); receiving, by the O-DU, a message indicating when to apply a TRx Control configuration to an O-RAN Radio Unit (O-RU); and setting, by the O-DU, a transceiver (TRx) Control configuration at the O-RU over a fronthaul (FH) interface on a management plane (M-Plane) or a Control Plane (C-plane) based at least in part on the received message; and sending, by the O-DU to the SMO, a notification indicating whether activating the TRx control configuration was successful.

In a multi-tenant computing system, a set of subscriptions are generated, to which resources are assigned. Each subscription has a management application that is used to manage access to resources in the subscription. Credentials that are used by the management application are stored in a key vault within the subscription.

A cellular security system that uses multiple policies to protect a cellular network against various threats in a cloud-based environment. The cellular security system includes a tenant with multiple cellular devices, multiple tunnels that receive and route traffic, monitor traffic, capture real-time traffic attributes, and detect anomalies. The cellular security system further includes an anomaly detection model, an alert generator, and an anomaly reporter. The anomaly detection model retrieves baseline profiles from a threat database, loads policies related to a threat, and compares real-time traffic features with baseline profiles. The anomaly detection model further applies an anomaly detection algorithm to a traffic instance, assigns an anomaly score, and raises a flag for anomaly detection where the anomaly score is greater than a threshold. The alert generator sends an alert to the tenant in the cloud-based environment, and the anomaly reporter notifies a management plane for further remediation of the anomaly.

A radio unit (RU) device may comprise: a memory for storing instructions; a transceiver; and at least one processor. The instructions, when executed individually or collectively by the processor, may cause the device to transmit, to a DU, a management plane message including configuration information for requesting a spectrum for citizens broadband radio service (CBRS). The configuration information may include a mode in which the RU moves on a predetermined path and path information about each of regions of the predetermined path. The instructions, when executed individually or collectively by the processor, may cause the device to: communicate, in a first area, with a terminal in a first cell operating in a first spectrum assigned on the basis of the configuration information; and communicate, in a second area changed from the first area according to the movement of the RU, with the terminal in a second cell operating in a second spectrum assigned on the basis of the configuration information.

A virtualized network function (VNF) of a network function virtualization (NFV) link level architecture includes a management plane function (MPF) to map a logical interface as a virtual interface in a control plane function (CPF) of the VNF. The MPF maps a logical resource of the NFV virtualization link level architecture as a shadow resource on one or more data plane functions (DPFs) of the VNF, wherein a virtual link is formed by the logical interface, the shadow resource, and the virtual interface. One of the DPFs receives a packet over the virtual link from a switch and classifies a type of the packet. In response to the packet type being a data packet, the DPF aggregates the packet with other data packets to form aggregated data packets and sends the aggregated data packets to the switch.

The present disclosure relates to implementing dynamic antenna array reconfiguration in an O-RAN, wherein a radio unit (O-RU) is configured to: send configuration capability information to a distributed unit (O-DU) via management plane (M-Plane) messaging; receive antenna array configurations supported by the O-RU from the O-DU via control plane (C-Plane) messaging based on the O-RU's configuration capability information and a request to reconfigure the antenna array from a higher layer network function; and reconfigure the antenna array configuration of the O-RU based on the antenna array configuration supported for the O-RU.

This application provides an intelligent routing function optimization method and system based on an intelligent vehicle power domain control platform, belonging to the field of intelligent vehicle electronic control technology. It addresses the problems of resource contention, excessive processor load, insufficient real-time performance, and poor scalability in in-vehicle network routing functions in related technologies. This method employs an architecture that separates the management plane and data plane. It pre-generates routing numbers encoding source, path, and destination information for communication relationships, and quickly extracts information based on these numbers through bit operations to execute routing decisions. Furthermore, it combines doubly linked list cache management, multi-core affinity scheduling, and multi-level resource provisioning strategies to achieve efficient cache resource management, significant optimization of processor load, and an overall improvement in system real-time performance and reliability.

Embodiments of the present application relate to the technical field of computer network communications, and provide a programmable logic device system of a baseboard, and an application device thereof. The programmable logic device system of the baseboard comprises: a low pin count bus parsing module is configured to parse a low pin count bus command issued by a central processing unit; a register space allocation module is configured to allocate data of the low pin count bus command to a preset register address space; a serial port hub module is configured to interact with the central processing unit and a baseboard management controller, and provide the preset register address space; a serial port parsing module is configured to parse serial port data between a baseboard serial port module and the central processing unit or between the baseboard serial port module and the baseboard management controller; a serial port switching module is configured to connect the baseboard serial port module to the central processing unit on the basis of a serial port complete byte switching policy, or connect the baseboard serial port module to the baseboard management controller on the basis of said policy. The embodiments of the present application solve the problems of incomplete bytes, messy codes and system suspension caused by serial port switching of different management planes.

The present disclosure provides a method, apparatus, and electronic device for cloud platform version upgrade, relating to the technical field of cloud platforms. The specific steps are as follows: scheduling a first container group to be updated to a public cloud platform through a virtual node and generating a scheduling result; creating a first node component and a first container group instance on the public cloud platform according to the version information of the management plane components in the core cloud platform and the target version information of the first container group to be updated; scheduling a second container group to be updated managed by the node components in the core cloud platform to the public cloud platform, and upgrading the control plane components and node components in the core cloud platform according to the target version information. The present disclosure realizes the upgrade of node components and container components in the public cloud platform by the core cloud platform through virtual nodes, realizes the decoupling between the core cloud platform and the public cloud platform, avoids the version compatibility dependencies between the control plane components and the node components, and improves the efficiency of cloud platform version upgrade.

Systems and methods include a cloud-hosted management plane where an authenticated user can initiate a request to establish a remote session to an edge device. A request may be transmitted to create a secure tunnel between the edge device and the cloud-based management plane. The edge device may receive and use a set of credentials to trigger a web-socket tunnel from the edge device to the cloud-hosted management plane. This connection may be used for management of an edge device(s), troubleshooting edge inferencing, access / use of edge applications, and various other applications.

A method, apparatus, and system for directly controlling network energy savings (NES) using service management and orchestration (SMO) and distributed units of an O1 interface may be provided, and may include transmitting, by an open radio access network (O-RAN) distributed unit (O-DU), network energy savings (NES) information to the service management and orchestration (SMO), the network energy saving information comprises at least one of network traffic, load performance measurement, and key performance indicator (KPI); receiving, by the O-DU, a message indicating when to apply the TRx control configuration to an O-RAN radio unit (O-RU); setting, by the O-DU, a transceiver (TRx) control configuration at the O-RU over a forward pass (FH) interface on a management plane (M-plane) or a control plane (C-plane) based at least in part on the received message; and transmitting, by the O-DU to the SMO, a notification indicating whether the activation of the TRx control configuration is successful.