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11results about How to "Meet resource needs" patented technology
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Storage control method and device based on big data
ActiveCN119645322AImprove access performanceimprove performanceInput/output to record carriersOriginal dataResource utilization
The invention relates to the technical field of big data storage, in particular to a storage control method and device based on big data. The method comprises the following steps: acquiring an original data stream and application demand information; performing data dynamic correlation analysis on the original data flow according to the application demand information to obtain a dynamic update data correlation graph; performing feature vector generation on the dynamic update data association graph to obtain a data feature vector; performing intelligent quality evaluation on the data feature vector to obtain a data quality label; performing timeliness evaluation according to the data feature vector, and performing access popularity evaluation to obtain a timeliness score and an access popularity score; and acquiring system resource load condition information. The storage resource utilization rate, the data access performance and the overall efficiency of the system are improved by solving the limitation of a traditional method in the aspects of static data management and resource allocation.
Owner:SHUHUI QIANKUN TECH CO LTD +1
Method and device for releasing AI service
PendingCN119449631Aincrease flexibilitymeet resource needsNetwork traffic/resource managementConnection managementEngineeringService resource
Owner:VIVO SOFTWARE TECHNOLOGY CO LTD
Medical instrument demand management system and method based on big data
The invention discloses a medical instrument demand management system and method based on big data, and the system comprises a demand trend module, a demand estimation module, a market analysis module, and a supply module, and relates to the technical field of medical instrument management. The technical key points are as follows: the use proportion of each age group is analyzed according to the deviation condition of the demands of different age groups for various medical instruments, so that the market demand of each medical instrument can be accurately speculated according to the age change condition of population; secondly, the diffusion trend and prevention and control requirements of various infectious diseases in a market area are known by analyzing treatment data, so that adjustment and planning are conveniently made before virus outbreak, the hysteresis quality of medical instrument supply is changed, and the requirements during market change are met; meanwhile, the upper limit of expansion of each supplier in the current market area can be known in combination with competitive product information and the market proportion, so that the production scale can be reasonably adjusted, and excessive competition and resource idleness are avoided.
Owner:HANGZHOU AXO BIOTECHNOLOGY CO LTD
Elastic scalable industrial data acquisition system and method based on rule scheduling
ActiveCN114745606Bmeet resource needsImprove efficiencyTelemetry/telecontrol selection arrangementsTransmission
The present invention provides an elastically scalable industrial data acquisition system based on rule scheduling, including a database, multiple online message access and processing nodes, a rule base, a traffic observation component, a rule engine, and a container orchestration engine; the rule engine is connected to the rule base and the container orchestration engine respectively, and the rule engine schedules the overall system resources through the container orchestration engine based on the scheduling rules in the rule base, without manual intervention and additional deployment and implementation, thereby reducing the implementation cost and running stably and reliably, with high implementation efficiency and good robustness. The present invention also provides an industrial data acquisition method with corresponding advantages.
Owner:JIANGSU SUYUN INFORMATION TECH CO LTD
A Dynamic Interval Elastic Expansion / Shrinkage Method and System Based on Long-Time Series Prediction
This invention discloses a dynamic interval elastic scaling method and system based on long-term series prediction. The method includes: collecting load time-series data of applications deployed in a container cloud platform and storing it in a time-series database; using a combined time-series prediction model based on the Transformer architecture and a Bi-LSTM time-series prediction model to perform long-term time-series prediction on the load time-series data; dynamically determining the scaling interval based on the predicted load; generating and executing a scaling strategy for application replicas in the container cloud platform, scaling up and allocating sufficient resources in advance before the actual increase in application load, thus ensuring the service quality of applications in the container cloud platform. This invention can effectively reduce the number of scaling operations, avoid window jitter caused by frequent scaling up and down, and ensure the stability of the container cloud cluster; effectively meet the resource requirements of applications and avoid application service quality instability caused by rapid scaling down.
Owner:ZHEJIANG UNIV
Related task scheduling method based on delay sensitivity in cross-platform cloud environment
PendingCN119396546Aeasy to handleImprove execution efficiencyProgram initiation/switchingEnsemble learningDistributed computingCross-platform
The invention discloses a relevance task scheduling method based on delay sensitivity in a cross-platform cloud environment. The method comprises the following steps: firstly, classifying tasks on each cloud platform; and then, after tasks of each cloud platform are put into different task queues according to types, correlation tasks are constructed into a Markov model, communication delay factors between the platforms are comprehensively considered, and the tasks in the queues are scheduled according to time sensitive constraints. According to the method, relevance task characteristics of delay sensitivity are considered, task scheduling is guided through a machine learning algorithm, and better performance and more reasonable scheduling are shown.
Owner:CHINESE AERONAUTICAL RADIO ELECTRONICS RES INST
A task resource pool construction method for large-scale satellite clusters
ActiveCN120803609BImprove the ability to complete tasks independentlymeet resource needsResource allocationSoftware simulation/interpretation/emulationResource poolResource information
The application provides a task resource pool construction method for a large-scale satellite cluster, belongs to the technical field of aerospace, and is characterized in that, on the basis of abstractly and quantitatively representing required resources of a task and residual resources of each node, a node receiving a task request is taken as a center, communication is performed layer by layer outward, resource information of a participating node is collected, and when the total number of resources of the participating nodes meets the task demand, the search outward is stopped to complete the search of the task resource pool member nodes; the method can make the large-scale satellite cluster have the rapid response capability to deal with sudden tasks, strengthens the autonomous decision-making capability in orbit, and has a wide application prospect.
Owner:HARBIN INST OF TECH
Operation method for extracting pyrite from high-sulfur coal
PendingCN121755339AEfficient recyclingImprove extraction efficiencySolid separationFoaming agentPyrite
The invention provides an operation method for extracting pyrite from high-sulfur coal, and relates to the technical field of coal deep processing and mineral extraction, and the operation method comprises the following steps: S1, selecting the high-sulfur coal with the sulfur content greater than or equal to 2% as a raw material; s2, feeding the pretreated raw coal into a jaw crusher for coarse crushing; s3, mixing the pulverized coal with water, and feeding the mixture into a water mill for pulping; s4, the ore pulp is fed into a spiral chute, and roughing is carried out under the adjustment of the water flow speed of 0.8-1.3 m / s and the inclination angle of 15-23 DEG C; s5, the roughed pyrite is fed into a jigger; s6, the pyrite crude product and water are mixed to prepare ore pulp with the concentration being 22%-26%, a trapping agent accounting for 0.1%-0.12% of the mass of the ore pulp and a foaming agent accounting for 0.02%-0.04% of the mass of the ore pulp are added, and flotation pyrite is obtained; s7, the flotation pyrite is fed into a magnetic separator, and high-purity pyrite is obtained; according to the combined process, efficient recovery of the pyrite with different particle sizes is achieved, and compared with a traditional process, the pyrite extraction efficiency is remarkably improved.
Owner:GANSU GUANGHENGYUAN SOLID WASTE DISPOSAL CO LTD
Satellite communication method and satellite communication system
ActiveCN116582896Bmeet resource needsRealize differentiated servicesNetwork traffic/resource managementNetwork topologiesDifferentiated servicesTelecommunications
The application provides a satellite communication method and a satellite communication system. The satellite communication system comprises a control management module, a certain number of low-orbit access nodes and a certain number of high-orbit forwarding nodes. The method comprises the following steps: a first message is sent to the control management module by a source low-orbit access node; the control management module selects a target high-orbit forwarding node according to the first message and returns a second message to the source low-orbit access node; the source low-orbit access node obtains a new data packet according to the second message and sends the new data packet to the target high-orbit forwarding node, so that the target high-orbit forwarding node obtains a target data packet according to the new data packet and sends the target data packet to a destination low-orbit access node. In this way, the differentiated services of the satellite network slice are realized, the resource requirements of different types of slices are met, and the network data carrying capacity in the satellite network is maximized.
Owner:BEIJING UNIV OF POSTS & TELECOMM +1
Heterogeneous resource scheduling method and apparatus, computing device, and storage medium
This application relates to the field of resource allocation technology, and discloses a heterogeneous resource scheduling method, a heterogeneous resource scheduling device, a computing device, and a computer-readable storage medium. Applied to a computing device, the computing device includes various computing resources. The method includes: parsing the task to be allocated, generating multiple subtasks and task attribute identifiers corresponding to each subtask; determining the execution order of the multiple subtasks according to priority; processing each subtask according to the execution order; calculating a cost function based on the task attribute identifiers and the target performance model of each computing resource; scheduling the subtasks to the computing resource with the minimum cost function; and simultaneously obtaining multiple target performance indicators fed back by the computing resources and updating the target performance model. Through the above method, the collaborative execution of heterogeneous resources is achieved, and it can adapt to dynamic changes in hardware performance, ensuring that all subtasks in the task to be allocated can be executed efficiently.
Owner:EVOC INTELLIGENT TECH
Virtual machine migration processing and strategy generation method, device, equipment and storage medium
ActiveCN112286622Bmeet resource needsImprove resource utilizationSoftware simulation/interpretation/emulationResource informationManagement process
The embodiment of the present invention provides a virtual machine migration processing and policy generation method, device, equipment and storage medium. When the idle resources on each physical host in the system do not meet the resource demand of VNF, and the sum of the idle resources on each physical host meets the resource demand of VNF, the virtual machine migration strategy is determined according to the occupied resource information on the physical host and the corresponding business information, and the virtual machine can be hot migrated, so that when necessary, some virtual machines can be migrated in a business-lossless manner according to the virtual machine migration strategy, and the resources of the physical host node corresponding to the virtual machine can be released, so that the idle resources on the physical host can meet the requirements of the resources to be deployed; and optionally, the process can also support automatic integration into the lifecycle management process to complete all actions; thereby, on the one hand, the utilization rate of resources is improved, and on the other hand, the success rate of resource operations in lifecycle operations can be increased.
Owner:ZTE CORP