538 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.

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.

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.

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.

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.

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.

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.

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.

Methods, systems, and apparatuses are provided for Non-Terrestrial Network (NTN) Store and Forward (S&F) procedures in a wireless communication system, with a method of a first network node comprising receiving a transmission from a User Equipment (UE), and determining to respond to the transmission to the UE based on a feeder link of the first network node being not available and a service associated with the transmission is a Short Message Service (SMS).

The technology disclosed herein enables resiliency of routing between NFs when degraded 5G NF topology information is provided to an SCP by an NRF. In a particular example, a method includes transmitting requests for NRF status from a Service Communications Proxy (SCP) to NRFs in a 5G network. The NRFs exchange messages with each other to determine whether Network Function (NF) topology information is available from the NRFs. The method further includes receiving responses to the requests in the SCP. The responses indicate a number of the NRFs from which the NF topology information is available. The method also includes identifying one or more failed NRFs of the NRFs that are in a failed state based on the responses. The NF topology information is aggregated from operative NRFs should one or more of the NRFs still be operative.

The invention provides an electronic file distributed storage method based on content sensitivity classification encryption and fragmentation redundancy, and aims to improve the safety and reliability of an electronic file storage system. The method comprises the following steps: firstly, carrying out content classification on electronic archives, and carrying out hierarchical encryption according to sensitivity to ensure that different types of archives have adaptive security policies; then, the encrypted archive data is subjected to fragmentation processing and redundancy distribution, so that the fault-tolerant capability and the access efficiency of the data are improved. Fragmented data is stored to a plurality of nodes through a distributed network, and rapid positioning and retrieval are carried out by using a distributed hash table. In a data access process, a user authority management and key distribution mechanism is combined to ensure that the user can only access the archive information within the authority range of the user. The method effectively solves the problems of data security, privacy protection and system robustness in electronic archive distributed storage, and is suitable for various archive management scenes.

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 relates to a digital twinning-based resource allocation method for balancing the scene quality and cost of the Internet of Vehicles, and belongs to the field of mobile communication. The method comprises the following steps: constructing a digital twin-driven vehicle edge computing system architecture, and carrying out data sensing and uploading modeling on a real-time state of a vehicle physical environment; designing a new index for quantitatively evaluating system quality and cost to represent a tradeoff relationship between the digital twin quality and the system cost; establishing a multi-objective optimization problem to simultaneously realize system quality maximization and cost minimization; a multi-agent multi-target deep reinforcement learning algorithm is adopted, replay experience is stored through a distributed actor network, a learner with a lesion evaluation network is adopted to evaluate agent actions, and an optimal resource allocation strategy is solved. According to the method, the contradictory problem between the digital twin quality and the digital twin cost is solved by jointly optimizing the digital twin quality and the digital twin cost, and the resource overhead is remarkably reduced while the precision of the twin model is ensured.

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.

Embodiments described herein relate to methods and apparatus for obtaining and / or providing Home Subscriber Service, HSS, information. A method in a first service based architecture, SBI, capable Internet Protocol Multimedia Subsystem, IMS, entity includes: transmitting a discovery request to a network repository function, NRF; receiving a response comprising HSS information from the NRF; and transmitting at least a portion of the HSS information to a second SBI capable IMS entity.

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.