333 results about "Network storage" patented technology

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.

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 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.

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.

Systems and methods are described for executing tenant artificial intelligence pipelines by dynamically selecting service providers based on resource consumption. A server can poll a group of service providers and receive resource information that indicates compute, network, storage, and token requirements to perform an action. When the tenant AI pipeline executes, a pipeline engine can select a service provider to execute the action based on stored resource information. The service providers available in the group can also dynamically change based on terms of service.

The invention designs a system mode deduction method based on source storage full life cycle characteristics and power grid growth, and belongs to the technical field of power system deduction. According to the method, an evolution boundary model is constructed by analyzing full life cycle characteristics of thermal power, wind power, photovoltaic power and energy storage and considering factors such as load increase and technical progress. Then, a source storage planning model and a power grid growth model based on the complex network theory are constructed, the source storage planning installed capacity can be obtained, and the positions of newly-added load nodes and power supply nodes are determined; furthermore, a source network storage collaborative planning model is constructed, and typical day data is used as input to solve a stage system mode. And finally, determining whether the deduction process is ended or not by judging whether the evolution period is reached or not. The method is suitable for researching and analyzing the future form of the novel power system, and has the advantages of flexible time scale, simple calculation, high expansibility and the like.

In an embodiment, a method implemented in a first network function (NF) node, comprises transmitting, to a network repository function (NRF) node, a discovery request message comprising first information indicating one or more service operations related to NFs to be discovered; receiving, from the NRF node, a discovery response message comprising second information indicating one or more discovered NFs, and energy consumption information respectively associated with the one or more service operations of each of the one or more discovered NFs; determining a discovered NF among the one or more discovered NFs based on the energy consumption information respectively associated with the one or more service operations of each of the one or more discovered NFs; and transmitting, to a second NF node of the determined discovered NF, a first request message for the one or more service operations.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Provided is a method performed by a network data analytic function (NWDAF) entity in a communication system. The method may include receiving, from a consumer network function (NF) entity, an analytic information request message or subscription message including threshold information; in response to the reception of the analytic information request message or the subscription message, collecting first analytic information from an orchestration and management (OAM) entity, a network repository function (NRF) entity, or at least one NF entity; deriving second analytic information based on the first analytic information; and transmitting, to the consumer NF entity, the second analytic information related to the at least one NF that operates abnormally.

The invention provides a self-adaptive data consistency maintenance method for an electric power information system based on incremental updating, and relates to the technical field of big data processing, and the method comprises an initialization step, a detection step and a feedback step. In the initialization step, a network including regional power data nodes and a distributed account book is constructed, and full power data is stored; in the detection step, power data changes are confirmed, key attributes are used for marking data, automatic conflict detection is carried out through a distributed consensus algorithm, solutions for coping with conflicts are dynamically selected, and then an incremental updating mechanism is adopted for synchronously changing the data; in the feedback step, a monitoring system with a closed-loop feedback mechanism is established, the data consistency state is automatically tracked when the electric power data is changed, and abnormity is recognized. Compared with a traditional data synchronization method which needs to synchronize full data, the method provided by the invention only synchronizes the changed data fragments through an incremental updating mechanism, thereby ensuring the consistency of the data, remarkably improving the data processing efficiency and saving the network bandwidth.

A vertical federated learning (VFL) server may send a discovery request to a network repository function (NRF). The VFL server may send a discovery request to a network repository function (NRF). The discovery request may comprise a VFL configuration identifier (ID). The VFL configuration ID may be supported by the VFL server. The discovery request may indicate that the VFL server is configured to discover one or more VFL clients. The one or more VFL clients may support the VFL configuration ID. The VFL server may receive a discovery response. The discovery response may comprise a list of one or more VFL clients that support the VFL configuration ID. The WTRU may select one or more VFL clients from the list of VFL clients. The WTRU may perform sample alignment on the selected one or more VFL clients.

An application function (AF) or network exposure function (NEF) requests authorization tokens to access policy control functions (PCF) from network repository function (NRF) for each AI / ML cycle, and receives a token that authorizes the AF to manage the quality of service (QoS) policy for the next AIML training cycle. Upon token validation, the AF sends a request to the NEF to reserve resources for an AF session. Upon authorization, the NEF sends a discovery request message to a binding support function (BSF) to discover PCFs serving WTRUs of an indicated group for the next AI / ML training cycle in the request from the AF. The BSF sends a discovery response to the NEF that comprises a list of the PCFs serving the identified WTRUs. The authorization tokens for PCF policy management on each PCF for the next AIML training cycle are then requested from the NRF.

A communication method for artificial intelligence (AI) / machine learning (ML) operations includes a network entity discovering trustworthiness capabilities for analytics and / or models, where a network data analytics function (NWDAF) is enabled to support a model training logic function (MTLF) with trustworthiness capabilities for ML models, the NWDAF is enabled to support an analytics logic function (AnLF) with trustworthiness capabilities for analytics, or a network repository function (NRF) includes trustworthiness capability provisioning per ML model. The network entity can be the NWDAF or a NWDAF consumer.

Various embodiments of the present technology generally relate to systems and methods for binding support function (BSF) capacity expansion. In some examples, a method may comprise operating a binding support function (BSF) of a mobile network, including determining whether an internet protocol (IP) address of a received message corresponds to a local IP address range, and when the IP address of the received message does not correspond to the local IP address range, accessing a first network function (NF) profile at a network repository function (NRF) to determine a second BSF corresponding to the IP address, and forwarding the received message to the second BSF.

The invention belongs to the technical field of unmanned ship intelligent control, and provides an unmanned ship formation path planning training system based on MAPPO, and the system comprises a simulation environment. The plurality of Actors are used for determining adopted actions and updating the next state based on the action strategies stored by the strategy network and the states of the Actors; the reward unit is used for rewarding the Actors on the basis of the actions and the states of the Actors; the experience pool is used for storing training samples generated when the Actors execute the current action strategy; the value network is used for evaluating the value of the training sample; the critical path unit is used for determining a critical path sample combination from paths generated by the current action strategy and a plurality of historical action strategies; and the optimization unit is used for combining and optimizing the strategy network and the value network by using the training samples and the key path samples based on an MAPPO optimization algorithm. According to the technical scheme, the path planning training effect in a complex environment can be remarkably improved.

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 network device, a method, and a computer program product facilitate delivery scheduling adjustment of a replacement device based on network backup of user data of an exchanged device. In response to detecting completion of a transactional agreement to have the second device delivered to and exchanged for the first device of a user, the network device communicates, via a communications subsystem of the network device, a backup request to the first device for user data that is currently stored on the first device. The network device receives, from the first device in response to the backup request, identification information associated with the first device and metadata associated with the user data to be backed up. The network device triggers delivery of the second device and pickup of the first device at a time corresponding to after completion of the backup of the user data to a network storage.

Example embodiments of the present disclosure relate to access token verification. In example embodiments, a method is provided. The method comprises, at a first service communication proxy, receiving, from a second service communication proxy, a first request for a service from a first network function, the first request originating from a second network function and comprising a token to access the first network function, the token comprising a delegation domain list to which token verification is delegated by the first network function, the token being generated by a network repository function based on registration information from the first network function, the registration information comprising at least one of: an indication of whether a delegation of the token verification is allowed or the delegation domain list: alternatively the first service communication proxy may obtain whether a delegation of the token verification is allowed and the delegation domain list from the network repository function and in accordance with a determination that the first service communication proxy belongs to the delegation domain list, verifying the token. In this way, the verification of the access token can be improved.

Systems, methods, devices, and computer readable storage media described herein provide network storage acceleration techniques. In an aspect, a command is received from an application by a storage interface controller. The command is configured to establish a connection with a storage node of a storage service of a storage system. The command comprises a session token corresponding to a session between the application and the storage service. The session token is provided to a broker at a first endpoint. The broker is configured to manage a cluster of storage nodes. The cluster of storage nodes comprises the storage node. A response is received from the broker. The response comprises a second endpoint associated with the storage node. A connection with the second endpoint is established. The second endpoint is mapped to a storage object. In a further aspect, the storage interface controller is a non-volatile memory express (NVMe) controller.

Various aspects of the present disclosure relate to authorized access to security event data. An apparatus, such as a network equipment (NE) that implements a first network function (NF) (e.g., a network repository function (NRF)), receives a request from a second NF (e.g., an operator security function (OSF)) for a token to access security event data from a third NF (e.g., an NF service producer). The first NF generates the token using a profile of the second NF. The first NF transmits the token to the second NF. A fourth NF (e.g., a data collection function) can request a second token from the first NF to access the security event data for the second NF. The third NF can transmit the security event data to the second NF via the fourth NF or directly. This enables secure and authorized access to security event data in wireless communication networks.

Disclosed in the present application are a communication method and an apparatus. The method comprises: a network storage function network element receives a registration request from a first network element, the first network element being used for storing CAG information, the registration request comprising a first network function configuration file, the first network function configuration file comprising identification information of the first network element and further comprising at least one piece of information among first information and second information, the first information indicating the CAG information managed by the first network element, and the second information indicating a service area managed by the first network element; the network storage function network element saves the first network function configuration file; and the network storage function network element sends a registration response to the first network element. In the solution, carrying the first information and / or the second information in the network function configuration file can distinguish the first network element from other network elements of the same type, thus helping to improve the accuracy and efficiency of discovering and selecting network elements.

Analytics equipment (14) for a communication network (10) stores a stream (18) of data records (20) from the communication network (10). The analytics equipment (14) samples the stored stream (18T) to obtain a sampled stream (18S) that includes fewer data records (20) than the stored stream (18T). The analytics equipment (14) explores the sampled stream (18S) to identify characteristics (28) of data records (20) to be used for insight creation. Based on the identified characteristics (28), the analytics equipment (14) filters the stored stream (18T) to obtain a filtered stream (18E) that includes data records (20) with the identified characteristics (28). The analytics equipment (14) then creates one or more insights (16) about the communication network (10) using the filtered stream (18E).

An integrated circuit includes a host interface, operatively coupled to a host device executing a tenant operating system (OS) on bare metal, and one or more hardware accelerators, operatively coupled to the host interface. The one or more hardware accelerators encrypt a swap file retrieved from the host device and initiate transfer of the encrypted swap file to a network storage device coupled to a cloud-based server. A central processing unit (CPU) is operatively coupled to the host interface and, with the one or more hardware accelerators, are to host a hardware-accelerated snapshot client that coordinates snapshot activities, associated with the encrypted swap file, between a snapshot manager, hosted by the cloud-based server, and a snapshot user interface executed on the host device.

The invention discloses a rural power distribution system source network storage multi-stage collaborative planning method, system and equipment, and belongs to the technical field of power distribution system planning, and the collaborative planning method comprises the steps: collecting power distribution system data, and constructing a power distribution system source network storage collaborative planning model and a target function thereof; establishing an input and utilization constraint, a safe operation constraint and a topology and equipment constraint based on the objective function, the collaborative planning model and the actual condition of the power distribution system to optimize the collaborative planning model; and deploying and operating the optimized collaborative planning model to obtain a power distribution system source network storage collaborative optimization scheme. By fully considering the collaborative configuration characteristics of distributed photovoltaic and energy storage, a power distribution system source network storage collaborative planning model with high description precision is constructed, a topology and equipment constraint is established to improve a network structure, it is ensured that a planning scheme can be implemented in a rural power distribution system scene, and the economical efficiency of a power grid system is improved.

The present disclosure provides a system (108) and a method (500) for communicating load information from a first cluster of network nodes (302-a), such as Network Repository Functions (NRFs), comprising a central network node (306) and one or more branch network nodes (304-a, 304-b), to a second network node (112), such as a Network Data Analytics Function (NWDAF). Each network node calculates load information based on transactions per second (TPS), number of registered NF profiles, and memory usage. A load notification thread is executed by each network node to identify subscription requests from the second network node (112). When a notification is due, the network node determines its deployment status. If it is a branch network node, it sends its load information to the central network node. If it is a central network node, it collects and aggregates load information from branch network nodes and sends it to the second network node.

The application provides a 5G private network-based test processing system, device, method, equipment and medium. The system comprises a perception data acquisition device, a storage forwarding device, a special data transmission module and a service level analysis device. Compared with the prior art, the perception data acquisition device of the application simulates the production action of the user to be tested to acquire network test data consistent with the time, space and perception of the customer, and sends the network test data to the storage forwarding device, so as to realize internal data storage of the private network enterprise user or external network storage in combination with the Internet. The storage forwarding device sends the network test data to the service level analysis device, the service level analysis device performs analysis and processing, realizes real-time uploading of the network test data, reduces the test cost, traces back the network data of the corresponding period, helps to locate the network problem and the user side problem, and outputs a solution suggestion to improve the user perception, and avoids loss caused by shutdown detection.

The application provides a soft and hard cooperative security AI NAS storage and calculation system and an access authentication method, and belongs to the technical field of network storage. The system comprises a hardware security layer, a lobster security core module, a compulsory authentication gateway, an encrypted storage engine, an intelligent access control module and a security audit and monitoring module. The hardware security layer comprises a lobster security chip and a hardware root of trust module. The lobster security chip is an independent security processor, and is internally provided with a true random number generator, an encryption acceleration engine and a security storage area. The hardware root of trust module is used for system startup verification and root key hardware protection. Through the soft and hard cooperative architecture and the compulsory authentication mechanism, the application realizes a complete trust chain from the hardware root of trust to the application layer, can effectively prevent ransomware attacks and data leakage risks, and improves data operation efficiency.