164 results about "Resource description" patented technology

The invention belongs to the technical field of electrical digital data processing and resource allocation, and provides an agent lightweight deployment method and a computing power elastic allocation method, lightweight deployment realizes one-time development of multi-platform deployment by constructing a plug-in container packaging tool and a multi-architecture compiling engine; static analysis is used for stripping redundant dependence of the model, and the model is dynamically cut in combination with edge resources; developing an intelligent resource description language, integrating a control group and a filtering technology to realize container-level resource monitoring, constructing a 12-dimensional dynamic state space fusing a node state, task characteristics and a network environment through computing power elastic distribution, and introducing a time delay, cost and reliability three-dimensional weighted reward model to quantify distribution earnings; an edge cloud cooperative training framework and an edge execution strategy are designed, experience is collected, a cloud end trains a Q network through federal learning, an optimization decision is played back in combination with priority experience, the agent deployment efficiency and the resource utilization rate are improved, and data privacy is guaranteed.

The invention provides a method and a device for managing computing power identification and resource description based on a domain name system. Wherein the computing power identifier comprises a computing power node identifier and a computing power resource identifier, the computing power identifier is used for identifying basic static information of the computing power resource, and the resource description file is used for identifying dynamic description information of the computing power resource. According to the method, the computing power identification and the resource description information based on the domain name are fully utilized, and the domain name infrastructure, the related system and the operation mechanism are combined, so that compatible use of different types of computing power resource identifications can be realized, and meanwhile, the consistency and the accuracy of the computing power identification in the wide area network range are improved.

The invention discloses a hybrid cloud architecture-oriented heterogeneous resource automatic discovery and integrated configuration method, and relates to the technical field of integrated configuration. Comprising the following steps: automatically identifying and dynamically adjusting a resource detection frequency to capture new resources through an adaptive learning and dynamic optimization mechanism; a deep learning model is utilized to predict a resource state change trend, detection is initiated in advance, and real-time monitoring and active response are realized; a dynamic API adaptation strategy and a self-learning mechanism are introduced, and cross-platform API intelligent adaptation and calling success rate optimization are achieved; a self-adaptive event-driven detection and multi-modal feature fusion method is adopted, and the detection frequency is dynamically adjusted based on anomaly detection; through a multi-modal attribute fusion and attribute mapping and conversion method, a unified resource description model is constructed, and standardization and consistency of resource attributes are carried out. According to the method, the operation is ensured to accord with laws and regulations such as GDPR, HIPAA and the like, and the validity of the operation and the consistency of the international standard are ensured while efficient collaboration and dynamic load balancing of cross-cloud resources are realized.

The invention relates to the field of data integration scheduling, and discloses a data integration and elastic scheduling method suitable for a fragmented computing power pool, which comprises the following steps of: constructing the fragmented computing power pool in combination with different distributed resources, and constructing a uniform resource description model in combination with the fragmented computing power pool, and data integration and elastic partition scheduling processing of distributed resources are realized. The resource utilization rate is improved, and the calculation cost is reduced; the purposes of enhancing the elasticity of the system and conveniently coping with various complex scenes are achieved; and meanwhile, data-driven intelligent scheduling is realized, and more flexible and efficient resource utilization is realized.

The invention discloses a storage processing method and device for warehouse materials. The method comprises the following steps: acquiring a storage demand information set and a material resource description information set; preprocessing the storage demand information set and the material resource description information set to obtain a preprocessed storage demand information set and a preprocessed material resource description information set; performing warehouse matching processing on the preprocessed warehouse demand information set and the preprocessed material resource description information set to obtain a warehouse storage information set; the warehouse storage information set comprises warehouse storage information. According to the method, optimization matching is carried out on various materials and supply chain demands, the purposes of increasing the material flowing speed and reducing the cost are achieved, and smooth proceeding of various types of guarantee work is guaranteed.

Systems, computer program products, and methods are described herein for implementing parametric optimization analysis for resource selection. The present invention is configured to determine a first set of requirements associated with a resource exchange agreement; identify one or more non-fungible tokens (NFTs) for one or more categories of past resource exchange agreements based on at least the first set of requirements; extract, from the one or more NFTs, one or more resource descriptors associated with one or more past resource exchange agreements in the one or more categories; predict, using a machine learning subsystem, an optimal resource valuation model for one or more resources that meet the first set of requirements using the one or more resource descriptors and the first set of requirements; and transmit control signals configured to cause a first end-point device to display the optimal resource valuation model.

The invention provides a cloud resource configuration method and device, electronic equipment and a computer program product. Relates to the technical field of cloud management. In view of the problem of complexity of the current cloud resource configuration process, the cloud resource configuration method provided by the invention comprises the following steps: acquiring a blueprint description file generated based on a cloud resource blueprint; the blueprint description file comprises cloud resource description information of to-be-configured cloud resources; analyzing the blueprint description file, and generating an abstract syntax tree for representing cloud resource description information; the abstract syntax tree records cloud resource description information through node information; generating a resource configuration file according to the node information of the abstract syntax tree and the mapping relation between the node information and the resource configuration information; based on the resource configuration file, executing a configuration operation on the to-be-configured cloud resource; according to the embodiment of the invention, the complexity of cloud resource configuration can be reduced, and the flexibility and convenience of cloud resource configuration are improved.

The invention discloses a warehouse material distribution processing method and apparatus. The method comprises the steps of obtaining a warehouse material demand vector and a material resource description information set; the material resource description information comprises a quantized value of a material on each material capability index; preprocessing the warehouse material demand vector and the material resource description information set to obtain a preprocessed warehouse material demand vector and a preprocessed material resource description information set; and carrying out warehouse distribution processing on the preprocessed warehouse material demand vector and the material resource description information set to obtain a warehouse distribution material serial number value. According to the invention, optimization matching is carried out for various material resources and storage requirements, the purposes of increasing the material flowing speed and reducing the cost are achieved, and smooth proceeding of various types of guarantee operations is guaranteed.

The invention provides a material package generation method, device and equipment and a computer readable medium, and the method comprises the steps: determining all content resources used for generating target digital content according to the multi-picture display demand information of the target digital content, and enabling the content resources to comprise a public resource for multiplexing a plurality of pictures and a difference resource for a single picture to use; the method comprises the steps that firstly, according to content resources needed by each picture, picture resource reference information corresponding to each picture is determined, then a picture resource description file is created according to the picture resource reference information, and according to the picture resource description file and all the content resources, a material package is generated through packaging; by dividing the content resources into the public resources and the difference resources and associating the public resources and the difference resources with the pictures through the reference relation, cross-picture efficient reuse of the public resources can be achieved, and compared with the prior art, the production process of the material package can be effectively simplified, the workload of a designer can be reduced, the production efficiency of the material package can be improved, and the production cost can be reduced.

The invention relates to a low-orbit constellation satellite collection database building and space target orbit forecasting method, and belongs to the field of satellite communication. The method comprises the following steps: firstly, implementing low-orbit constellation satellite collection database construction, including satellite target resource analysis, resource description and resource mining, describing satellite resource individuals to be stored, acquiring multi-dimensional key information, and constructing a comprehensive and accurate low-orbit satellite target resource database; and in combination with a subsequent orbit forecasting algorithm and the parameters of the geographic position, the antenna pitch angle and the beam width of the communication receiving and transmitting end, the quantity and distribution of satellites in the beam intersection area of the receiving and transmitting end are obtained by using the forecasting model, and satellite resources are mined in a resource library. And predicting a satellite orbit by using the SGP4 orbit prediction model, obtaining the instantaneous position and speed of the satellite in-orbit operation, comparing the result of the orbit prediction model with the STK software simulation result, and verifying the prediction model. Technical guarantee is provided for efficient management and utilization of cooperative and non-cooperative giant low-orbit constellations in a complex space environment.

The invention provides a computing power identifier registration and management method based on a domain name system, and the method comprises the steps: 1, enabling a computing power resource node to transmit identity information and computing power information to a computing power resource management node based on the domain name system, and applying for the registration of a computing power identifier; step 2, the computing power resource management node allocates a corresponding computing power identifier to the computing power resource node according to the identity information and the computing power information, and generates a resource description file corresponding to the computing power identifier; wherein the computing power resource management node locally manages the computing power identifier, and the computing power resource management node locally manages the resource description file. According to the method, unified management of various heterogeneous computing power resources is realized in a form of combining computing power resource identifiers, node identifiers and description files, a unified computing power identifier registration and management system compatible with various computing power resources is constructed, and unified service of cross-domain multi-type computing power resources is further supported.

The embodiment of the invention discloses a data space and a data interaction method. The data space comprises a plurality of modules, and an efficient intelligent data circulation system is constructed. The data market platform stores data resource description, and the data resource library is responsible for storing data governance information. And the AIAgent module converts query of a data demander into a structured request through a natural language processing technology, and performs data matching. And a matching result generates a data use protocol through the contract management module, so that the data use compliance is ensured. And the user interaction module is used for displaying and confirming protocol content and ensuring consensus of a data provider and a data demander. Once confirmed by the protocol, the data resource description will be delivered to the data demander through the AIAgent delivery engine. According to the invention, the data interaction and delivery efficiency is greatly improved, manual intervention is reduced, intelligent scheduling, development and utilization of data resources are realized, and data transaction circulation is effectively promoted.

The invention discloses a resource allocation and configuration method and device and electronic equipment. The method comprises the following steps: converting network resources in a private network into programmable objects, and constructing a resource label model according to attribute information of the programmable objects and the network resources; receiving service demand information, extracting a service intention in the service demand information, and converting the service intention into a standardized intermediate instruction; generating a resource allocation scheme according to the standardized intermediate instruction and the network resource use state information, and evaluating the resource allocation scheme in a digital twin environment of the private network; and under the condition that the evaluation result of the resource allocation scheme in the digital twin environment meets a preset requirement, converting the resource allocation scheme into a control instruction, and sending the control instruction to the network resource. The technical problems of low network resource allocation efficiency and slow service response speed caused by non-uniform resource description and high service demand analysis difficulty in a multi-manufacturer heterogeneous network environment are solved.

The invention discloses a discrete manufacturing full-life-cycle intelligent computing system and method, the system comprises a data knowledge layer, a computing adaptation layer and a parallel service layer, a virtual matching mechanism is used between the data knowledge layer and the computing adaptation layer, that is, primary mapping is formed according to task demand description and manufacturing resource description in a twin world, an optimal algorithm is called for a specific task, the most reasonable resources are adapted, an optimal service strategy is obtained, and a mapping process from a service demand to the service strategy is realized; a virtual-real parallel computing mechanism is used between a computing adaptation layer and a parallel service layer, that is, a mutual linkage relation is established in a physical world according to a service execution strategy obtained in a twin world, so that the requirement of discrete manufacturing full-life-cycle intelligent service is met, and the mapping process from a service strategy to service execution is achieved. And through two times of mapping, autonomous computing adaptation of task-knowledge-algorithm-resource in the whole life cycle of discrete manufacturing is realized.

The invention provides a cloud platform resource scheduling method and device, electronic equipment and a storage medium, and the method comprises the steps: constructing a cloud adapter composed of a plurality of resource agents, and collecting the resource information of a plurality of cloud platforms; through a cloud adapter, according to a preset resource description standard, performing standardized conversion on resource information belonging to different cloud platforms to form a unified resource data model; analyzing an API interface protocol of each cloud platform, and mapping a standardized resource request of a user into a native API call of the corresponding cloud platform; and matching a target resource meeting the standardized resource request from the resource data model, constructing a resource allocation scheme according to the network overhead corresponding to the cloud platform, and sending a resource scheduling instruction to a corresponding target cloud platform through a resource agent according to the resource allocation scheme to call the target resource. Standardized description, intelligent matching, optimal scheduling and cross-cloud collaborative execution of heterogeneous cloud resources can be realized, and efficient management and intelligent scheduling of the cloud resources are realized.

The invention relates to a self-organizing testing method, device and system, a storage medium and a program product. Comprising the following steps: determining corresponding equipment detection strategies according to different equipment types; the equipment types comprise network equipment, standard equipment, non-standard equipment and equipment which cannot be automatically identified; according to an equipment detection strategy, automatically discovering equipment, and instantiating a corresponding hardware operation entity object; establishing an operation resource list according to the hardware operation entity object; performing tree description on all resources in the operation resource list to obtain an equipment resource description tree; different grpc services are established according to different device descriptions, and a device resource description tree and RPC operation interface descriptions of a corresponding resource operation interface tree are provided for a client; and grpc is used as an interaction mode between the equipment server and the client, and an RPC operation interface is provided for all resources. Therefore, the protocol docking complexity can be reduced, and the requirement for flexibility of non-standard integrated circuit board testing is met.

The current document is directed to methods and systems that automatically bind an attribute value, within a resource descriptor in a cloud-infrastructure-specification-and-configuration file, that references a parent resource descriptor via a resource identifier to the resource identifier in the parent resource descriptor. One implementation of attribute-value binding is employed in an infrastructure-as-code (“IaC”) cloud-infrastructure-management service or system that automatically generates parameterized cloud templates that represent already deployed cloud-based infrastructure, including virtual networks, virtual machines, load balancers, and connection topologies. The IaC cloud-infrastructure manager provides an infrastructure-discovery service that accesses a cloud-computing facility to obtain information about already deployed cloud infrastructure and that generates a textual description of the deployed infrastructure, which the IaC cloud-infrastructure-manager then transforms into a set of parameterized cloud-infrastructure-specification-and-configuration files, a resource_ids file, and a parameters file that together comprise a parameterized cloud template.

The invention discloses a data storage method and device, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the following steps: obtaining load description information and resource description information corresponding to virtual storage units matched with a target terminal; determining respective priority coefficients of the at least one virtual storage unit according to the load description information and the resource description information; under the condition that a first virtual storage unit is determined from the at least one virtual storage unit, at least one second virtual storage unit in routing connection with the first virtual storage unit and the at least one first virtual storage unit are added to a storage unit group; and determining a target storage unit from all the storage unit groups. According to the technical scheme, the priority is comprehensively obtained through the load description information and the resource description information, and then the target storage unit is obtained based on the priority, so that the accuracy of selecting the virtual storage unit is improved, and the problem that the accuracy of selecting the virtual storage unit is low in the related technology is solved.

The invention provides a heterogeneous intelligent computing power optimization management scheduling system for accelerating a large model training task, and the system comprises the steps: obtaining the performance of heterogeneous intelligent computing power equipment through the actual measurement of an algorithm and a framework, carrying out the resource description management through taking the computing power equipment with the highest performance as a reference standard conversion coefficient, and forming a heterogeneous intelligent computing power resource topology; meanwhile, a parallel method is provided, heterogeneous intelligent computing power resources are organized in an innovative mode, the parallel method comprises two layers, in the first layer, low-performance computing power nodes are combined into equivalent high-performance nodes, and therefore the effect of increasing the number of the intelligent computing power nodes is achieved; and in the second layer, parallel computing is performed among a plurality of low-performance nodes in the equivalent high-performance nodes, so that the processing results of the equivalent high-performance nodes are not lower than those of the reference high-performance computing power nodes. By adding the intelligent computing power nodes, the computing amount of a single node can be reduced through parallel computing, the processing time is shortened, and finally the purpose of accelerating a large model training task is achieved.

The invention discloses a transformer area differentiated resource integrated communication method based on an intelligent fusion terminal, and the method comprises the following steps: S1, building a three-dimensional resource description model which comprises an equipment type, a communication protocol and data features, and carrying out the unified modeling of a photovoltaic inverter, an energy storage device and an intelligent electric meter; s2, dynamically calculating a communication priority weight according to the real-time state of the equipment and the operation requirement of the power grid; S3, selecting an optimal communication channel through a hybrid decision model; and S4, realizing protocol non-sensitive interaction by adopting an AST driving architecture which comprises a grammar analysis layer and a semantic conversion layer. According to the method, deep coupling of a communication technology and power system control is achieved, and normal form transformation from passive adaptation to active optimization is achieved through breakthrough of the three technologies. Firstly, the multi-dimensional cooperative communication capability is improved, a dynamic priority mechanism is introduced, a three-dimensional weight model is constructed based on an equipment type, a power grid state and a service demand, and accurate distribution of communication resources is realized.

The invention discloses a computing power resource intelligent transaction optimization method and system, and relates to the technical field of cloud computing. Comprising the following steps: acquiring multi-source heterogeneous computing power resource data, performing normalization processing and vectorization modeling, and generating a standardized resource feature vector; historical and real-time data are collected to construct a demand side service portrait and a supply side dynamic resource map, and a space-time perception supply and demand situation model is formed; a multi-objective optimization model comprehensively considering resource utilization rate, carbon emission intensity, policy preferential income and transaction cost is established based on the model, and a non-dominated solution set is generated by adopting a Pareto optimization algorithm; and constructing an intelligent matching decision engine based on a reinforcement learning framework, carrying out real-time sensing, dynamic adjustment and execution on the transaction strategy scheme, and outputting a final executable transaction scheme. The technical problems of low computing power transaction efficiency and low resource utilization rate caused by non-uniform computing power resource description, supply and demand situation perception lag, single optimization target and stiffness of a matching mechanism are solved.

The invention provides a satellite service dynamic replacement method and system oriented to a satellite group scene, and the method comprises the steps: building a function description model and a resource description model, carrying out the formalized description of the service function and resource load of a satellite, maintaining the task, resource and state information of the satellite through a service maintenance module, and carrying out the troubleshooting service, once a fault service is found, a single satellite service, a group of satellite services executed in parallel or a group of satellite services executed in sequence can be screened out by calling multiple replacement algorithms in the service replacement module to dynamically replace the fault service; and according to the evaluation model, each group of feasible solutions or suboptimal solutions strictly meeting function and resource demand constraints or constraint relaxation are evaluated and sorted, and a reliable basis is provided for generating a final replacement scheme.

The invention discloses a resource processing method and device, equipment and a storage medium. The method comprises the steps of obtaining object attribute information of a target object and resource description information of multiple target resources to be recommended to the target object; determining a language prompt template configured for a target task and a target language model obtained by training a sample language text generated based on the language prompt template, wherein the target task is a task for predicting the behavior feedback rate (namely the probability that the resource is subjected to a target feedback behavior) of the resource; based on the language prompt template, generating a plurality of target language texts by adopting the resource description information of the plurality of target resources and the object attribute information of the target object; and calling the target language model to predict the behavior feedback rate of the corresponding target resource according to each target language text, so as to perform resource recommendation for the target object based on the prediction result. The prediction accuracy and the prediction efficiency of the behavior feedback rate of the to-be-recommended resources can be improved, so that the resource recommendation effect is improved.

This application discloses a data storage method, apparatus, electronic device, and storage medium, relating to the field of computer technology. The method includes: acquiring load description information and resource description information corresponding to each virtual storage unit matched with a target terminal; determining a priority coefficient for each of at least one virtual storage unit based on the load description information and resource description information; if a first virtual storage unit is determined from the at least one virtual storage unit, adding at least one second virtual storage unit with a routing connection to the first virtual storage unit, as well as at least one first virtual storage unit, to a storage unit group; and determining a target storage unit from the entire storage unit group. By comprehensively obtaining priority information from both load description information and resource description information, and then selecting the target storage unit based on that priority, the accuracy of virtual storage unit selection is improved, thereby solving the problem of low accuracy in virtual storage unit selection in related technologies.

The invention relates to the technical field of computers, in particular to a training method of a voice recognition model, a voice recognition method and a related device, which are used for efficiently and automatically constructing a training sample of audio and video resources so as to quickly improve the voice recognition precision of the voice recognition model. The method comprises the following steps: performing lexical element splitting on resource description information of a to-be-processed resource to obtain a plurality of candidate lexical elements; selecting at least one candidate lexical element meeting a first screening condition as a keyword element based on the structure evaluation values corresponding to the plurality of candidate lexical elements and the occurrence times of the candidate lexical elements in the resource description information; for each candidate sentence, constructing a training sample based on the candidate sentence, and performing audio conversion on the training sample to obtain an audio tag of the training sample; and training the speech recognition model based on the plurality of training samples and the respective audio tags.

Provided in the present disclosure are an information transmission method, an apparatus, a device, a storage medium and a computer program product. The method comprises: a first network element receives first information, wherein the first information represents a resource descriptor related to a field programmable gate array (FPGA) hardware resource required by an application to be deployed, and the first information is used for generating configuration information of a target FPGA device deploying said application.

Embodiments of the present application provide a resource processing method, a cloud service instance processing method and device, comprising: receiving a resource application request sent by a target user equipment; the target user equipment belongs to a user equipment in a resource platform; in response to the resource application request, finding a quota corresponding to target resource description information corresponding to the target user equipment from preset quota data to obtain a target quota; the target resource is resource description information applied by the target user equipment this time, and the preset quota data includes quotas corresponding to different resource description information predicted for the user equipment in the resource platform; and according to the target quota, allocating a target resource in the resource platform to the target user equipment, the target resource including a resource described by the target resource description information. In this way, the accuracy of the preset quota data can be improved to some extent, and the resource allocation effect can be improved.

The invention is applicable to the technical field of matching algorithms, and provides a matching method for a supply and demand relationship in an industrial chain resource scheduling process, which effectively fuses information data such as the supply and demand relationship, the quantity, the price and the quality of various resources by establishing a unified resource description and matching model and adopting a multi-dimensional matching strategy. Therefore, resource matching is more accurate and reasonable, and the method is suitable for complex industrial chain cooperation scenes. And the stability and continuity of resource scheduling are ensured.

The invention provides a resource sharing method, device and equipment and a storage medium, and relates to the field of resource management. The resource sharing method comprises the following steps: acquiring resource retrieval information input by a user; according to the resource retrieval information, performing resource retrieval from uniform resource description information; displaying the retrieved resources, scheduling information of the retrieved resources and a reservation function control; and performing approval processing on a resource reservation request submitted by the user through the reservation function control. Therefore, resource sharing is realized, and the resource utilization rate is improved.

The application discloses a resource allocation method and device for offshore emergency rescue, and the method comprises the following steps: acquiring a set of offshore emergency rescue demand information, a set of rescue resource description information and a set of rescue resource technical state parameter time series; the rescue resource description information comprises a rescue capability index value; each rescue demand index is one-to-one corresponding to the rescue capability index; pre-processing the set of offshore emergency rescue demand information, the set of rescue resource description information and the set of rescue resource technical state parameter time series to obtain a set of pre-processed information; performing resource allocation processing on the set of pre-processed information to obtain a set of resource allocation information; the set of resource allocation information comprises resource allocation information; the resource allocation information is used for describing the allocation information of resources for tasks.