771 results about "Network storage" patented technology

A cellular network having radio access network (RAN) nodes where each RAN node includes (i) a central unit (CU) that resides on a public cloud of the cellular network, (ii) a distributed unit (DU) that resides on a private cloud of the cellular network such that the DU is in communication with the CU on the public cloud of the cellular network, and (iii) a radio unit (RU) under control of the DU. The cellular network also has network repository functions (NRFs) that are distributed on the cellular network and reside on at least the public cloud of the cellular network where the NRFs control operation of cell sites and local data centers (LDCs) on the cellular network. The network also has processors configured to control data collection edge applications residing with the NRFs that are distributed on the cellular network.

The invention provides a resource scheduling control method and system for a big data server, and the method comprises the steps: constructing a multi-dimensional resource portrait module, collecting the CPU, memory, network, storage I / O load and task queue length of each node in real time, and predicting a resource demand trend through a time sequence algorithm; extracting characteristics such as calculation intensity, data dependence, memory requirements, network transmission quantity and the like; adjusting the weight coefficients of the resource utilization rate, the task completion time and the energy consumption efficiency according to the system load and the historical effect; establishing a bipartite graph model by taking a resource trend as a node feature and a task vector as an edge feature, and calculating a matching score through graph convolution and a multi-objective optimization function; the scheduling scheme is synchronized by adopting a consistency algorithm; automatic rollback and reallocation are carried out when resources are detected to be insufficient; and optimizing a weight coefficient and a network parameter through reinforcement learning. Through the method, the system resource utilization rate can be improved, the task execution efficiency is improved, the overall scheduling effect stability is improved, and the system fault recovery time is shortened.

Methods, systems, and apparatuses are provided for handling Non-Terrestrial Network (NTN) store and forward (S&F) configurations in a wireless communication system, wherein a method of a User Equipment (UE) comprises being provided with an indication or a configuration about traffic type for an S&F operation from a network, and determining whether to use the S&P operation based on the indication or the configuration

Provided in the present invention is a node-type edge computing system. The system comprises a micro-service module, a CI / CD module, an application management module, an observation module and a security module. The node-type edge computing module in the present invention has the characteristics of having a low network delay, supporting mass data access, having an elastic infrastructure, etc. Moreover, in addition to reducing the transmission delay, the advantages brought about by shortening a spatial distance further comprise the delay of various PLCs, gateways, routing-transfer, and network device processing in a complex network is also reduced. In addition, since the probability of network link contention is greatly reduced, the overall delay can be significantly reduced. By means of the node-type edge computing module, a distributed capability is added to a traditional cloud center, some service logic is deployed on an edge side, and related data processing is completed, such that the pressure of transmitting data back to a center cloud can be greatly relieved. The node-type edge computing module can also provide an elastic virtualization capability, such as calculation, networking and storage, based on an edge location, and can truly realize "cloud-edge collaboration".

Systems and methods related to authorization in a cellular communications system. In one embodiment, a method performed by a Network Function (NF) comprises sending, to another network function, information that indicates whether a particular type of authorization is required per Public Land Mobile Network (PLMN) for a particular NF service instance associated with the NF. In one embodiment, the other network function is a Network Repository Function (NRF). In one embodiment, the information is comprised in a NF profile of the NF. In one embodiment, the particular type of authorization is Oauth2-based authorization.

The invention discloses a big data driven dynamic resource scheduling method for an IPv6 edge computing node, and relates to the technical field of edge computing, and the scheduling method comprises the following specific steps: S100, resource data collection and integration: deploying monitoring equipment at the IPv6 edge computing node, collecting computing, network, storage and energy resource data, and transmitting the data to a server; through multi-dimensional resource data acquisition and storage, comprehensive monitoring and quantitative integration of calculation, network, storage and energy resource data are realized, the resource scheduling is more accurate and efficient through the comprehensive data acquisition mode, and through construction of the energy consumption performance model, the performance value can be accurately calculated, and the energy consumption performance is improved. And the model is trained and optimized by using big data, so that the balance of energy consumption and performance in the resource scheduling process is realized, the resource utilization efficiency is improved, the energy consumption cost is reduced, and powerful support is provided for green and sustainable development of edge computing nodes.

A cellular network having radio access network (RAN) nodes where each RAN node includes (i) a central unit (CU) that resides on a public cloud of the cellular network, (ii) a distributed unit (DU) that resides on a private cloud of the cellular network such that the DU is in communication with the CU on the public cloud of the cellular network, and (iii) a radio unit (RU) under control of the DU. The cellular network also has network repository functions (NRFs) that are distributed on the cellular network and reside on at least the public cloud of the cellular network where the NRFs control operation of cell sites and local data centers (LDCs) on the cellular network. The network also has processors configured to control data collection edge applications residing with the NRFs that are distributed on the cellular network.

The invention relates to the field of resource association analysis, and discloses a knowledge graph-based archive decision support and association analysis method, which comprises the following steps of: firstly, acquiring structured and unstructured archive data; preprocessing is carried out through data cleaning, duplicate removal and format conversion, semantic disambiguation is carried out on historical fuzzy words in unstructured data, and entity normalization processing is carried out on multi-category names of the same character; secondly, based on the preprocessed structured data, entities, relationships and attributes are extracted, and entity association evidences are supplemented through a cross-modal alignment technology; performing consistency verification, and storing the verified entity relationship network into a graph database to form an archive knowledge graph; then, in combination with a graph traversal and time sequence analysis algorithm, a hidden association path is mined, and trend prediction is carried out; and finally, generating a decision evidence chain according to an association mining result. And establishing a knowledge graph dynamic updating mechanism, and automatically reconstructing the entity association network when a file or a historical research result is newly added.

The invention belongs to the technical field of intelligent agricultural equipment, and discloses an intelligent monitoring control method for mini-tiller corn seeding. During seeding operation, the speed acquisition module acquires the operation speed and determines the seeding rotation speed and the fertilizer rotation speed, the seeding system and the fertilizer system perform seeding and fertilizer application operation, and the seeding monitoring module monitors the seed falling position and feeds back the real-time operation plant spacing; the seed and fertilizer amount monitoring system feeds back the residual amount of seed and fertilizer in real time, the operation state monitoring system monitors the pressure of an air path pipeline, the pressure of a press wheel and the sowing depth in real time, and the sowing depth regulation and control system performs active profiling; after the central control system comprehensively processes the information, the data are transmitted to the man-machine interaction system to be displayed and uploaded to the network storage platform for operation information recording; and performing multi-dimensional regulation and control by using the regulation and control model during operation of the seeder. According to the invention, real-time and accurate monitoring of the whole process of sowing operation can be realized, and the method plays an important role in improvement of transparency and intelligent level of mini-tillage corn sowing operation.

The invention provides a knowledge data classification multi-modal reasoning evolution system based on a deep model, and the system comprises a dynamic semantic memory network module which is used for storing multi-source heterogeneous data through a memory network, and according to the relevance between the newly input multi-source heterogeneous data and the existing knowledge content in the memory network, obtaining the knowledge content of the multi-source heterogeneous data; dynamically updating the knowledge content in the memory network; the cross-modal collaborative classification enhancement module is used for extracting feature vectors of different modals from the multi-source heterogeneous data, performing feature alignment, and performing feature fusion on the feature vectors after feature alignment to generate comprehensive feature vectors fused with multi-modal information; and the multi-level layered attention classification module is used for processing the comprehensive feature vector by adopting a multi-level attention mechanism to understand the overall content and context information of the multi-source heterogeneous data so as to make a classification decision. According to the method, intelligent processing and classification decision making of complex information are realized, and a solid technical support is provided for knowledge evolution of a Chinese graph classification system.

The invention relates to the technical field of power grid planning, in particular to a power grid and energy storage coordinated power distribution network planning method, and provides a power grid and energy storage coordinated power distribution network planning method on the basis of meeting a load power supply capability principle and a new energy bearing capability principle. Comprising the following steps: carrying out source load prediction, determining a power supply capacity and a maximum load, analyzing a historical annual source load curve, forming a source load curve based on source load numerical prediction, coupling the source load curve to form a net load curve and net load characteristic parameters, determining a time section at a moment when bearing capacity is insufficient, and calculating power capacity vacancy. Calculating power grid construction and transformation cost under the condition that energy storage does not participate in peak regulation, gradually increasing the capacity of energy storage participating in peak regulation, calculating rental energy storage cost, response energy storage cost and new energy storage cost, comparing the total energy storage cost with the power grid construction cost, and selecting a planning scheme with the minimum total cost under network storage collaborative planning by combining the two.

An integrated circuit includes a host interface coupled to a host device executing a tenant operating system (OS) on bare metal and hardware accelerator(s) coupled to the host interface and a network interface. The hardware accelerator(s) receive, over the host interface, a snapshot request relating to a snapshot of tenant OS. Snapshot request includes a location, in a physical memory of the host device, of a swap file having contents of random access memory of the host device. The hardware accelerator(s) encrypt the swap file and initiate transfer of the encrypted swap file to a network storage device coupled to a cloud-based server. The hardware accelerator(s) send, over the network interface, to a snapshot manager hosted by the cloud-based server, metadata associated with storing the encrypted swap file in the cloud-based server, to allow the snapshot manager to manage the snapshot of the tenant OS.

To safely store data. A storage 200 connected to another storage 400 via a network, the storage 200 including: a processor 216 configured to process data to be stored in a storage device 220, in which the processor 216 is configured to acquire a first snapshot for a volume generated using a storage area of the storage device, compare a second snapshot, which is a previously acquired snapshot, with the first snapshot to retrieve incremental data, transfer the incremental data to the other storage and store the incremental data as backup data, and set lock of the backup data stored in the other storage.

There is provided an apparatus comprising means for: obtaining, from a network repository function, profile information for one or more gateway network functions; selecting one of the one or more gateway network functions for delivering media to a user equipment based on the profile information; and establishing a media session to deliver the media to the user equipment via the selected gateway network function.

Systems and methods enable dynamic network function management, including obtaining user input data identifying network slice provisioning parameters for a creation of a network slice in a network; sending a request for a network repository function (NRF) instance for the network slice, to an orchestrator; receiving, from the NRF instance, a verification message of the creation of the network slice; sending, to the orchestrator, a request for a creation of multiple network function (NF) instances according to the network slice provisioning parameters; receiving, from the orchestrator, a verification message of the creation of the NF instances for the network slice; receiving, from the NRF, a confirmation message of a registration of the NF instances for the network slice; sending slice-specific subscriber provisioning data to a user data instance provisioned for the network slice; and generating a network slice creation confirmation message identifying the network slice.

A wireless communication method for energy-related based routing selection includes interacting, by a network node responsible for an energy related decision, with at least one network element to perform a user plane (UP) route selection based on the energy related decision and / or at least one energy related parameter. The network node may be an energy broker function (EBF), an application function (AF), a network function (NF), a charging function (CHF), a function residing on a network exposure function (NEF), a function residing on a network repository function (NRF), a function in collaboration with a CHF, or a function in collaboration with a network data analytics function (NWDAF).

The invention provides a method and a system for dynamically evaluating the charge and storage capacity of a compressed air energy storage system, electronic equipment and a storage medium, and the method comprises the steps: building a simulation model of the compressed air energy storage system, and carrying out a variable working condition test; and fitting to obtain pressure-flow mapping curves of an inlet and an outlet in the air storage device when the compressed air energy storage system operates under various load working conditions, and performing integral calculation on the pressure of the inlet and the outlet of the air storage device to calculate the residual inflation / deflation time, thereby realizing dynamic evaluation on the residual energy storage / release capability of the system. According to the method, the technical problems that the charging and storage capacity evaluation method is incomplete and network storage interaction real-time scheduling is difficult in the operation process of the compressed air energy storage system are solved, and the actual benefits of the energy storage technology in new energy application are further promoted.

The invention relates to the technical field of information processing, in particular to a user-oriented multi-tenant security enhancement service isolation system, comprising: at least one tenant, each tenant having an independent namespace, at least one corresponding service, at least one corresponding node, and a network storage space; the public node pool comprises a plurality of public nodes, and firewalls are arranged between the public nodes and the nodes corresponding to the tenants; and the resource controller is used for dynamically adjusting the resources of different tenants. A safe isolation environment of computing resources, storage resources and network resources is constructed in a mode of combining soft isolation and hard isolation, safe and efficient resource intensive management of a multi-tenant environment is realized, a resource adjustment mode of each tenant is determined according to index data of each tenant, tenant resources are automatically and dynamically allocated, and the resource utilization rate is improved. And the business isolation requirements of the tenants are met on the premise of ensuring the system stability and security.

Apparatuses, methods, and systems are disclosed for communicating identity messages between network devices. One method includes receiving, at a first network device, network repository function (“NRF”) level information from a second network device. The method includes transmitting an identity request message to a third network device. The identity request message includes target access and mobility management function (“AMF”) information, selection information, a subscription permanent identifier (“SUPI”), and / or an AMF reallocation indication. The method includes receiving an identity response message from the third network device. The identity response message includes a global unique temporary identifier (“GUTI”) and / or the SUPI. The method includes transmitting a registration accept message to a user equipment (“UE”). The registration accept message includes the GUTI and / or a reroute indication. The method includes receiving a registration complete message from the UE.

The present disclosure relates to a method and a system for monitoring in real time one or more network functions status The disclosure encompasses: at a Network Repository Function (NRF) [302], determining a heartbeat message receipt status; detecting the unsuccessful heartbeat message receipt status associated with a target NF; generating automatically an alarm associated with the target NF; detecting automatically a registration success status of the target NF; and monitoring in real time the one or more NF status based on the heartbeat message receipt status and the alarm.

The invention relates to a source network load storage system operation control method, system and device and a medium. The operation control method comprises the steps of generating a predicted load curve of a preset time period based on historical load data; according to the predicted load curve, each power generation operation characteristic and each power generation cost, determining a power supply power generation plan; constructing an energy storage charging and discharging model according to the energy storage loss, the charging and discharging efficiency and the electricity price curve; constructing a power grid power flow optimization model according to the power grid line loss, the line safety constraint and the line balance constraint; and obtaining a power generation scheme of each power supply, a charging and discharging scheme of the energy storage system and a power flow direction control scheme in a power grid which meet preset target conditions, and controlling the operation of the source grid load storage system. According to the scheme, deep coordination of load source network storage is realized, the energy utilization efficiency is improved, the system stability is enhanced, the power generation cost is reduced, and the reliability, economy and flexibility of a power system are improved.

A communication method and related device, in the method, a network storage function network element receives a first request message from a first network element, the first request message is used for requesting a second network element, and the first request message includes a network element capability type supported by the second network element; wherein the network element capability type supported by the second network element is one of a longitudinal federated server side and a longitudinal federated client side, or the network element capability type supported by the second network element is one of the longitudinal federated server side, a longitudinal federated master client side and a longitudinal federated slave client side. And sending a first response message to the first network element, the first response message comprising one or more second network elements, the one or more second network elements supporting the network element capability type. By adopting the method and the device, participants of longitudinal federation learning can be found, and a foundation is laid for subsequent longitudinal federation model training.

The invention discloses a lightweight block chain node consensus mechanism optimization method, and relates to the technical field of block chains. According to the method, the computing power of the lightweight nodes is accurately evaluated through a hierarchical verification aggregation algorithm, efficient participation of the lightweight nodes in a resource-constrained environment is realized, a transaction set is divided into a plurality of subsets by adopting a transaction verification fragmentation strategy, and verification results are aggregated by utilizing a Merkel tree aggregation verification technology; in addition, a dynamic storage management strategy is established, the depth of locally stored historical data is dynamically adjusted according to the node storage capacity, and network storage and retrieval are performed through a distributed hash table; the bottleneck problem of storage and network transmission is effectively solved, and the network bandwidth utilization efficiency and the storage management flexibility are improved.

A Lawful Interception Administration Function device (102) comprising a memory and a processor, the memory containing instructions which when executed on the processor, cause the LI ADMF device (102) to send to a Network Repository Function (110) a discovery request message for discovering at least one NEF device (103) and at least one Application Function, AF, device (107) served by the NEF device; receive a discovery response message comprising information about the NEF device and the AF device; receive from a LEA (101) a first request message for subscribing to a notification of the event provided by the AF device, the application identified by an identifier; send a second request message, to a NEF device comprising an IRI-POI (104) to subscribe to the notification of the event, the NEF device identified based on the information comprised in the discovery response message; and receive a subscribe response message confirming the subscription to the notification of the event.

The invention discloses a CXL protocol extension method, device and system based on the Ethernet. The method comprises the following steps of: carrying out long-distance expansion interconnection on a CXL (Compute Express Link) protocol by using Ethernet as a physical transmission medium; by bearing the CXL protocol on the Ethernet, the range of memory pooling is expanded from the rack level to the whole data center (kilometer level), and the potential of the CXL technology is thoroughly released; through protocol translation, label management and flow control realized by pure hardware, an operating system kernel and a software protocol stack are bypassed, so that the end-to-end memory access delay is far lower than that of any software-based network storage scheme, and a reliable request-response tracking and timeout retransmission mechanism is realized through a hardware label manager. By distinguishing the control flow and the data flow, differentiated QoS guarantee is provided for different types of memory flows, and the stability of the system under high load is ensured.

Systems and methods for managing 5G networks are provided. A method for injecting analytics into a Network Repository Function (NRF) for managing a 5G slice, according to one implementation, includes a first step of obtaining parameters associated with User Plane (UP) traffic and Control Plane (CP) traffic from a Service-Based Architecture (SBA) of a 5G network. The method also includes the step of performing analytics on the obtained parameters to monitor Network Functions (NFs) associated with the 5G network. In addition, the method includes the step of providing results of the analytics to an NRF to control NFs stored in a repository associated with the NRF.

The invention discloses a communication method and device and electronic equipment. The method comprises the following steps: determining a target service node in a plurality of service nodes in a signaling interworking gateway, the target service node being a spokesman role of the plurality of service nodes; sending a home terminal network function heartbeat message to a network storage function entity of the core network through the target service node; and under the condition that the registration configuration information of the signaling interworking gateway is changed, the network function updating message is sent to the network storage function entity through the target service node. According to the method and the device, the technical problem that when a plurality of service nodes of a signaling interworking gateway distributed cluster communicate with a core network, due to the lack of an effective coordination mechanism, redundant sending of messages occurs, and waste of network resources is caused is solved.

Embodiments include network equipment configured to implement a service producer network function (NFp) of a communication network and network equipment configured to implement a network repository function (NRF) of the communication network, a method, a non-transitory, computer-readable medium, and a computer program product corresponding to each of the network equipment. The network equipment configured implement the NFp receives, from a service consumer network function (NFc), a request for a service provided by the NFp. The request includes an access token issued by a first network repository function (NRF). The access token includes a network function (NF) identifier of the first NRF. The network equipment verifies the access token in response to at least one of the following: the first NRF corresponds to a second NRF with which the NFp previously registered; when the NFp stores a first list of NRFs authorized to provide access tokens for the service, the first NRF corresponds to any NRFs in the first list; and when the NFp stores a second list of NRF sets authorized to provide access tokens for the service, the first NRF corresponds to any NRF sets in the second list.

An archive model can be used for managing networked storage of recorded content, such as network DVR (digital video recorder) content. Content may be initially recorded to an active storage device, with individual duplicate copies recorded for each requesting user, and subsequently archived to an archive storage device. For playback, the content can be reconstituted into the active storage device prior to delivery to the requesting user. Content can be predictively reconstituted in anticipation of user needs, and the reconstitution capacity of the system can be dynamically reallocated for load balancing.

According to an example aspect, there is provided a method, comprising: receiving, by a service communication proxy from a network function consumer, a service request for a service by a network function producer, transmitting, in response to an error in obtaining an access token from a network repository function on the basis of the service request, a response to the service request to the network function consumer, wherein the access token is for authorizing access to a service at the network function producer and the response is indicative of an access token error.