420 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.

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.

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.

In one aspect, a method includes generating, using a User Plane Function (UPF) of a core element of a network, a query to retrieve information associated with one or more Data Network Names (DNNs) configured in at least one other UPF in the network; transmitting the query to a Network Repository Function (NRF); receiving a response from the NRF, the response including IP address subnets of the at least one other UPF associated with the one or more DNNs; dynamically generating an Access Control List (ACL) to block mobile-to-mobile communication between User Equipment (UEs) in the network, using the IP address subnets received as part of the response, wherein each of the UEs is assigned an IP address from among the IP address subnets; and blocking M2M communication using the ACL dynamically generated.

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.

The invention discloses a desktop login method and device, electronic equipment and a storage medium. The method comprises the following steps: distributing a cloud desktop for a user according to a desktop login request of the user; based on first identity verification information carried by the desktop login request, mounting a virtual disk file of a user in a network storage device to a cloud desktop to obtain a virtual disk of the user; and generating redirection configuration of the virtual disk, and sending desktop data of the cloud desktop to terminal equipment of a user. The method comprises the following steps: mounting a virtual disk file in a network storage device based on first identity verification information in a desktop login request, and generating redirection configuration for forwarding a file access request of a user on a cloud desktop to the mounted virtual disk for processing so as to realize roaming of personal data on the cloud desktop to the network storage device. When the user quits the cloud desktop, only the virtual disk in the cloud desktop is unloaded, but the personal data in the network storage device is still in, so that the problem of data loss after the user quits the cloud desktop can be solved.

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.

There is provided a method for handling an updated profile of a first network function (NF) node of a service producer in a network. The method is performed by a network repository function (NRF) node. Priority information for the first NF node is removed (602) from the updated profile received from the first NF node if the NRF node previously changed the priority information. The priority information is for use by the network node in selecting an NF node of a service producer to provide a service requested by a second NF node of a service consumer. The priority information is indicative of a priority with which the first NF node is to be selected relative to at least one other NF node of the service producer. Transmission (604) of the updated profile, with the priority information removed, is initiated towards the network node.

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.

The present disclosure relates generally to wireless communication systems, and more specifically to apparatus and method for providing User Plane Function (UPF) functionality in a wireless communication system. A method of providing user plane function (UPF) functionality information in a wireless communication system may include registering, by a first network function, the UPF functionality information including a packet inspection functionality to a network repository function (NRF); and searching, by a second network function, the NRF for the UPF including the packet inspection functionality.

The invention belongs to the technical field of computers, and discloses an RAID (redundant array of independent disks) parameter configuration method and system.The RAID parameter configuration method comprises the steps of obtaining a storage emphasized direction selected by a user, determining a utility function weight, determining an RAID parameter space according to the number of hard disks, searching an optimal RAID parameter combination, generating non-technical scheme interpretation and displaying the non-technical scheme interpretation to the user, and providing a slider to adjust the weight. According to the method, the problems that non-professional users are difficult to understand RAID technical parameters and lack in deep non-technical interpretation and convenient adjustment modes in the prior art are solved, the configuration difficulty is reduced, the users can autonomously complete storage configuration, and the user experience is improved. The method has the advantages that the difficulty of configuring the multi-hard-disk network storage device by a non-professional user is reduced, and the user can autonomously and confidently complete the storage configuration meeting the requirement of the user.

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.

Technology is disclosed herein for onboarding a policy charging function (PCF) of a wireless network to replace another network PCF. In an implementation, a network repository function (NRF) determines that a first PCF is offline or unavailable and identifies at least one other network function which is subscribed to the first PCF. The NRF instructs the network function to replace an identity of the first PCF with an identity of a second PCF in a PCF profile maintained by the network function. The network function, in response to the instruction, sends to the second PCF session information for active sessions associated with the first PCF along with a flag indicating that the active sessions are active. The second PCF receives the session information and rebuilds the active sessions in a database. The second PCF then manages the active sessions based on the session information in place of the first PCF.

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.