86results about How to "Meet resource needs" patented technology

The invention discloses a method and a system for automatically selecting an application proxy server. The method and the system are used for selecting the optimal proxy server at last by comprehensively considering factors such as server load, resource requirements of applications, current distribution of applications and exclusiveness between applications. The method and the system are characterized in that in the load estimation aspect, the load balance of multi-dimension resources is taken into account so that the load condition of each server can be estimated more accurately, in the aspect of estimating the resource requirements of applications, historical data are used for estimating the resource requirements of applications, and certain foreseeability and relatively high accuracy are achieved, in the application distribution aspect, all applications at present are counted accurately and the optimal running positions of the applications are entirely controlled from a server cluster, and in the application exclusiveness aspect, the exclusive applications possibly competing with each other in resources are analyzed according to the resource utilization situations of all the applications, and therefore, the exclusive applications are prevented from running in the same server and the resource requirements of the applications are met to the utmost extent.

The invention provides a method and a device for dispatching dynamic resources of a virtual cluster. The virtual cluster comprises at least one management server and a plurality of physical servers, one or a plurality of virtual machines are deployed on the physical servers, and businesses run on the virtual machines. The method includes the steps: determining business priorities corresponding to each virtual machine group in K virtual machine groups by the management servers; sequentially performing virtual machine deployment and adjustment for the K virtual machine groups by the management servers according to the order of the business priorities from high to low. The virtual machine groups run the same businesses, and resources occupied by the virtual machines belonging to the same virtual machine group in each physical server are balanced.

The embodiment of the invention provides a container resource scheduling method, which comprises the following steps of: obtaining resource prediction information according to a to-be-predicted service ID, a to-be-predicted duration and a pre-trained resource prediction model, and converting the resource prediction information into container prediction information; and when the resource predictioninformation satisfies a first preset condition, obtaining a container resource request and a node list, performing a preset scheduling operation according to the container resource request and the node list so as to obtain a target node, creating a target container for the to-be-predicted service according to the container prediction information, and deploying the target container at the target node. The invention further provides a corresponding device and a computer readable storage medium. Through the method, capacity expansion can be achieved in advance, resources are reasonably distributed, and the resource utilization rate is increased.

The invention discloses a cloud server platform architecture capable of efficiently processing and analyzing remote sensing data, comprising a cloud remote sensing data storage and computing center, a cloud remote sensing intermediary service platform common middleware and a lightweight cloud remote sensing information service client, wherein the cloud remote sensing data storage and computing center is used for storing and computing remote sensing data; the cloud remote sensing intermediary service platform common middleware is used for processing and analyzing the remote sensing data; and the lightweight cloud remote sensing information service client is used for configuring remote cloud computing resource, creating and managing remote sensing information service chain, user information management and access control, data and service management and map visualization. The invention provides a flexible high efficiency remote sensing image data processing and application service solution strategy with low cost and high flexibility. By exerting the advantage of cloud computing, massive remote sensing data can be rapidly processed and analyzed, and the cloud server platform can be widely applicable to fields with higher requirement on timeliness such as emergency surveying and mapping.

The invention discloses an invulnerability mapping method of a multicast virtual network. The invulnerability mapping method of the multicast virtual network comprises the steps that leaf node sets capable of being covered with each bottom layer data center are obtained according to the zone requirements of each bottom layer data center where each leaf node in the multicast virtual network has access, a set scheme that all the leaf nodes are covered with the sets in the minimum number is obtained by the adoption of the minimum set covering algorithm, mapping of the leaf nodes is conducted through the corresponding bottom layer data centers, and the leaf nodes covered with the same bottom layer data center share node protection resources; the bottom layer data centers where root nodes have access serve as standby bottom layer data centers, primary link mapping is conducted on each standby bottom layer data center, the leaf nodes covered with the same bottom layer data center share a protecting route, and after link mapping is completed, a link mapping scheme with the smallest total resource consumption is selected from the link mapping schemes corresponding to the standby bottom layer data centers to serve as the optimal link mapping scheme. According to the invulnerability mapping method of the multicast virtual network, invulnerability mapping with low cost is achieved.

The invention discloses a method for allocating high speed physical down link shared channel resource for utilizing the high speed physical down link shared channel resource effectively. The method comprises: acquiring the code channel block allowed to carry the high speed physical down link shared channel (HS-PDSCH) resource in system; conforming the available HS- PDSCH resource block, which includes one or several code channel blocks in one time slot or includes one or several continuous code channels on several time slots, made up of the code channel blocks in different combining mode; and selecting an available HS-PDSCH resource block among the confirmed available HS-PDSCH resources to allocate to the current user equipment needing available HS-PDSCH resource. The invention further discloses an apparatus.

The invention provides a GNSS (global navigation satellite system) receiver board card on the basis of ZYNQ architectures. The GNSS receiver board card comprises a ZYNQ processor and an intermediate-frequency data input end. The ZYNQ7 processor is configured with a peripheral controller, a dual-core processor and an FPGA (field programmable gate array) processor, and a QSPI (queued serial peripheral interface) FLASH memory, an SDRAM (synchronous dynamic random access memory) and a UART (universal asynchronous receiver and transmitter) are plugged in the peripheral controller; a core of the dual-core processor is used for running a GNSS receiver operation system, another core of the dual-core processor is used for carrying out positioning resolving, and the FPGA processor is provided with a GNSS baseband data processing unit; the GNSS baseband data processing unit is used for processing intermediate-frequency data inputted into the FPGA processor, so that original data applied to positioning resolving a dual-core processor end can be obtained; one of the cores of the dual-core processor can read the original data via bus to carry out resolving, and resolving results or the original data can be outputted to users via the UART 8. The GNSS receiver board card on the basis of the ZYNQ architectures has the advantage that requirements on low cost and power consumption and high integration level of the high-precision GNSS board card can be met.

The invention provides a method and system for distributing resource of a video conference server. The method comprises the steps that: when starting a video conference, a resource distribution server distributes resource of a source server to the video conference based on a preset distribution strategy according to the obtained grade of the video conference and resource leisure degree of current each source server; if the resource required by the video conference is more than the leisure resource of the source server, the source server obtains the required resource according to a sequence of low grade conference to high grade conference in a video conference with grade lower than the video conference, and distributes the resource to the video conferences. At least two source servers are provided.

The invention discloses a load balancing method and a load balancing device based on an application proxy server. The method comprises the following steps: receiving a start request carrying the identity information of an application to be started; acquiring the resource demand of the application to be started from a pre-established application historical database according to the received identity information; and determining a target application proxy server used for running the application to be started according to the acquired resource demand and the load information of at least one application proxy server. According to the invention, an application proxy server meeting the resource demand and load demand of the application to be started is assigned for the application to be started.

The invention discloses a service function chain cross-domain arrangement method for end-to-end delay performance optimization. The method comprises the following steps: S1, an advanced arranger responds to a service request of a user or a network administrator, and describes the service request as a service map with a weight; S2, the advanced arranger divides the service map into a plurality of sub-service maps with weights and allocates the plurality of sub-service maps to corresponding sub-network domains; S3, a low-level arranger in the sub-network domain performs intra-domain arrangementmapping on the received sub-service map and sends an intra-domain arrangement mapping result to the advanced arranger; and S4, the advanced arranger receives the intra-domain arrangement mapping result and judges whether the sub-service map is successfully mapped, if so, the advanced arranger terminates the processing, or otherwise, the advanced arranger executes S2 again. According to the servicefunction chain cross-domain arrangement method provided by the invention, the abundant available resources of a cross-domain network are can be fully utilized to meet the resource requirements of thenetwork service, and meanwhile, the end-to-end delay of the network service in the cross-domain network is minimized, thereby effectively improving the service experience of terminal users.

The embodiment of the invention provides a virtualized cluster system, a resource distributing method and a management node. The resource distributing method comprises the following steps: calculating the resource distribution value of a virtual machine in the virtualized cluster system according to the value of the resource parameter of the virtual machine in the virtualized cluster system; determining a resource pool operating on a calculating node of the virtual machine; determining the resource distribution value of the resource pool mapped on the calculating node according to the resource distribution value of the virtual machine and the structure of the resource pool mapped on the calculating node; sending the resource distribution value of the mapped resource pool and the structure of the resource pool mapped on the calculating node to the calculating node; using the resource distribution value of the mapped resource pool and the structure of the resource pool as the distributed resource of the virtual machine operated on the calculating node by the calculating node. By the adoption of the implement examples, under the condition of much frequent performance change of the virtual machine, the resource distributed to the virtual machine can be adjusted in time to satisfy the resource requirement of the virtual machine, so that the professional performance of the virtual machine is ensured.

The invention discloses a method and a device for allocating cloud resources. The method is applied to a cloud platform comprising a first cloud domain and a second cloud domain. The method comprises steps: a resource demand of an account in the first cloud domain is acquired; based on the resource demand, whether the first cloud domain can provide enough resources is judged; and if the first cloud domain can not provide enough resources, at least part of idle resources in the second cloud domain are reallocated to the first cloud domain based on the resource demand, wherein the first cloud domain is a private cloud domain and the second cloud domain is a public cloud domain, or the first cloud domain is a public cloud domain and the second cloud domain is a private cloud domain.

The invention provides a power communication network utility maximization resource allocation policy generation method based on Q-learning. The method comprises the following steps that a power communication network resource management model is established, wherein the power communication network resource management model comprises a resource management simulation platform, power communication network infrastructure and power communication business; the resource management simulation platform obtains information of the power communication network infrastructure; the resource management simulation platform obtains information of the power communication business; and the resource management simulation platform generates a resource allocation policy of power communication business based on the Q-learning. According to the method provided by the invention, a relatively fast convergence rate is achieved. Through comparison with a static resource allocation algorithm and a dynamic resource allocation algorithm, it proves that according to the method provided by the invention, under the condition of ensuring a relatively high resource utilization rate, power business obtains a relativelyhigh utility value, resource demands of relatively much business are satisfied, and the degree of satisfaction of a user is improved.

The invention discloses a social perception D2D collaborative caching method based on deep Q learning, and aims to solve the problem of link congestion caused by redundant content transmission in a network. The method comprises the following steps: step 1, initializing a communication scene; 2, performing multi-attribute modeling on the social relation strength of the equipment owner; step 3, modeling a D2D cooperative caching process based on a reinforcement learning process; step 4, designing a network structure of a Behavior network for training and a Target network for calculation in the deep Q network; and step 5, based on a set system model, utilizing a deep reinforcement learning algorithm to enable the intelligent agent and the environment to interact to carry out iterative learning to output an optimal strategy, namely, an optimal decision of equipment cache resource allocation and D2D content distribution. According to the technology, normal communication of cellular users can be ensured, the average time delay of the system can be minimized on the premise of meeting personal willingness of the users, and the satisfaction degree of the users is improved to the maximum extent.

The invention discloses a multi-level user mobile edge calculation method based on reinforcement learning, which is based on a priority scanning method under a Dyna structure, is suitable for a mobileedge calculation wireless communication environment with shortage of spectrum resources and high requirements on time delay and energy consumption, and belongs to the field of wireless communication.The method mainly comprises the following four steps of: firstly, selecting an edge server by a primary user; Secondly, enabling a secondary user to propose an application for occupying an edge server to a control center; Then the control center processes the application and distributes an edge server, and enabling the secondary user to perform partial calculation unloading or complete local calculation; And finally, calculating the utility of each secondary user. According to the method, reinforcement learning is applied to the mobile edge computing wireless communication network, and the advantages of no model of Q learning and preferential updating of a priority scanning method are combined, so that the requirements of time delay and energy consumption of each secondary user are met while the overall utility performance of the system is ensured, and the utilization rate of resources is improved.

The invention provides a cross-domain computing task scheduling method and system based on intelligent perception. The cross-domain computing task scheduling method comprises the steps of step 1, training a decision tree model based on label data; step 2, estimating and calculating the execution time of the task based on the relative time complexity; step 3, predicting a resource change trend index of each domain based on the resource historical record and an ARIMA algorithm; step 4, obtaining resource real-time state indexes of each domain by using a resource state interface; step 5, estimating migration time of the data migrated to each domain based on the available bandwidth; and step 6, deciding the task optimal execution domain based on the decision tree model and the comprehensive index. The trend prediction algorithm and the decision tree algorithm are creatively and comprehensively applied to the cross-domain computing task scheduling scene, the task resource preemption phenomenon is avoided, and the problem that the scheduling decision accuracy is low is solved; through the flow type machine learning technology, the performance problems of a trend prediction algorithm anda decision tree algorithm are solved, and the overall time of cross-domain computing task scheduling is greatly shortened.

The invention relates to a security function service chain deployment method, and relates to the technical field of network security. The invention gives consideration to a condition that a physical node can provide various types of security functions, and proposes the security function service chain deployment method. Based on the weight correlation among the required calculation resource demand,storage resource demand and network resource demand, the method achieves the comprehensive evaluation of the resources required by the deployment of a service chain, achieves the deployment of the security function service chain according to the size of the comprehensive demand for the service chain, and achieves the minimum network cost under the condition that the service chain resource demandand the successful deployment of the safety function are met.

A cutting propagation method of Michelia macclurei includes the steps: stock plant planting and management, cutting medium sterilization, cutting collection, hormone treatment, and cuttage and post-cuttage management. The method is characterized in that high-quality seedlings are transplanted into medium-containing containers to cultivate cutting stock plants, trunks are cut to promote sprouting, cutting medium is sterilized, high-quality cuttings are treated and placed and cultivated in a sun shed, and high-quality cutting seedlings of Michelia macclurei are obtained. The method has the advantages that a cutting propagation method of Michelia macclurei is provided, cuttings are high in quality and availability, few pest and disease damages occur, survival rate is high, the seedlings can be directly taken out of a nursery for foresting, the effective and reliable method is provided for germplasm resource genetic diversity and germplasm resource conservation for Michelia macclurei, the requirements of China for precious tree species resources are met, and great economic benefit and social benefit are achieved.

The invention relates to a resource scheduling method and device, a base station, terminal equipment and a storage medium. The method comprises the following steps: determining a downlink control information DCI scheduling format corresponding to a service type according to the service type of a service to be scheduled, wherein the service type is one of an enhanced mobile broadband eMBB service and an ultra-high reliability and low delay communication URLLC service; determining resource allocation information based on the service type and pre-configured resource configuration parameters, wherein the resource allocation information is used for indicating available resources of user equipment (UE), wherein the resource configuration parameter comprises a URLLC configuration parameter corresponding to the URLLC service; and sending DCI to the UE by adopting a DCI scheduling format, wherein the DCI carries resource allocation information of the UE. By adopting the method, the eMBB serviceand the URLLC service can be flexibly scheduled, the resource requirement of the URLLC service is met, and the service performance is guaranteed.

The invention discloses a resource management method and device, and aims at shortening the elastic contraction time of businesses with a plurality of associated applications, and improving the resource management efficiency. The method comprises the following steps of: determining an application set according to a to-be-processed business, wherein applications in the application set are used for processing the to-be-processed business, and the application set comprises at least two applications; determining a resource using rate of the application set; and when the resource using rate of the application set satisfies a preset condition of resource contraction, carrying out resource contraction processing on each application in the application set according to a resource contraction strategy corresponding to the preset condition.

The invention discloses a cloud edge collaborative management method based on a distributed cloud platform, and the method comprises the steps: carrying out the management and arrangement of Docker containers through Kubernetes, and enabling a core layer of a multi-cloud management platform to enable the business components of the core layer to be packaged in different Docker containers; and arranging the multi-cloud management platform based on the distributed architecture to achieve the cooperative relation between the center cloud and the edge cloud. The resource requirement of the edge cloud can be met through resource calling of the center cloud, and meanwhile the remaining resources of the edge cloud or the center cloud can be fully utilized.

The invention discloses a double-layer cellular Internet-of-Vehicles spectrum allocation method based on vehicle number prediction. The double-layer cellular Internet-of-Vehicles spectrum allocation method comprises the following steps of: establishing a network environment; preprocessing an existing vehicle trajectory data set; considering the time correlation and the space correlation among vehicle numbers of a plurality of regions in an actual scene, establishing a vehicle number prediction network model based on a convolution structure and LSTM, and representing the vehicle number prediction network model as a Conv_LSTM network; carrying out resource demand analysis, setting a resource demand function to be a power function, wherein a power exponent changes between 0 and 1; predictingthe number of vehicles in each SBS region at a future moment based on the Conv_LSTM network, and then acquiring resource demand of each small base station SBS at the future moment correspondingly; modeling a problem that MBS allocates resource blocks to SBS of each small base station into a multi-point dyeing problem, providing a dynamic resource allocation algorithm for solving the problem, and allocating RB resource blocks to each independent set in sequence based on the constraints of the total number of the RB resource blocks held by the MBS, so that the resource satisfaction of each SBS is balanced, and the resource utilization rate of the network is improved.

The invention relates to a method for implementing a low power hybrid Cache of an embedded device, belonging to the field of the hierarchical structure design of the computer memory. The method is performed in the embedded device and comprises the following steps of: configuring the initial states S0 of an instruction Cache and a data Cache, a standby high capacity state S1, a capacity competition state S2, a standby low capacity state S3 and a capacity adjustment state S4, respectively; establishing boundaries and a counter; whenever a program segment changes and a next program segment is started, determining the switching states and related settings of the instruction Cache and the data Cache by determining the following conditions one by one. With the method provided in the invention, once the program segment-based PBCRA reconfiguration algorithm of the method is adopted, the power consumption is reduced by 20.4%-41.7% with seldom increasing hardware; and the Cache jittering is reduced. Besides, as the number of paths of the instruction Cache and the number of paths of the data Cache are variable, the collision deletion can be reduced and the jittering can be avoided; therefore, the stable system operations are ensured.

The invention relates to a method and a device for resource distribution under a multi-frequency range group net. The method comprises the steps of: determining and acquiring business characteristics of business at the time of initial access of user business, distributing the business onto a carrier wave group with a time slot proportion according to preset resource allocation strategies, wherein the carrier wave group is matched with the business characteristics. According to the invention, in a process of the initial access of the user business and business maintenance, the user business is distributed or adjusted onto the carrier wave group with the time slot proportion according to business symmetry and the preset resource allocation strategies, and the carrier wave group is symmetrically matched with the business; resource needs of various different business can be satisfied by adopting a resource allocation mode provided by the invention, and situations that a business rate with a unified time slot proportion is limited are avoided, and user experience is improved; and moreover, appropriate carrier wave group resources can be distributed to the users according to the distinguished up / down link symmetry of the user business to improve a utilization rate of resources and effectively increase a system capacity.

The invention provides a resource allocation method and device for a centralized base station and a storage medium. The method comprises the following steps: acquiring a resource allocation request for base station service, wherein the resource allocation request comprises a resource allocation demand of the base station service; calculating respective resource use information of each computing node after the resource allocation requirement is met, and selecting a computing node according to the resource use information, the resource use information being used for representing the balance degree of resources allocated to the computing nodes; and allocating resources to the base station service according to the resource allocation requirement in the selected computing node. Through estimating resource use information of a computing node after distributing resources for base station services, according to the resource utilization information, the computing node which actually allocates resources to the base station service is selected, and the balance degree of the resources allocated to the computing node can be considered under the condition that the resource requirement of the base station service is met, so that efficient utilization of the computing node resources can be realized, and the real-time requirement in the field of wireless communication can be met.

The invention provides a regional division and space distribution method in cross-domain virtual data space, capable of realizing unified management and access of global data through a cross-domain unified region division method based on a global name space formed by aggregation of decentralized autonomous storage resources, and realizing space distribution for optimizing global data placement based on a virtual view. The regional division and space distribution method comprises the following steps: firstly, formulating modeling expressions of a virtual data region and a virtual storage space,and providing a theoretical basis for regional division and space distribution; then, studying a data region divisional mechanism, realizing and recording customized data regional division in globalname space nodes to support unified management and access of global data; and finally, studying a virtual storage space distribution method, achieving distribution of virtual storage space mapped by the data region, and mapping the customized region into actual storage resources of the bottom layer. Therefore, the mapping relation between the logic data region and the actual physical resources isestablished to support the global unified scheduling of the large-scale computing application.

The invention discloses an electric power Internet of Things cross-domain service function chain arrangement method based on a block chain. The method comprises six steps: S1, constructing an electric power Internet of Things cross-domain service function chain arrangement model; S2, sending a resource allocation request of the service function chain to an inter-domain controller; S3, obtaining bottom layer resource information by the inter-domain controller; S4, the inter-domain controller carrying out service function chain arrangement and resource allocation according to the underlying resource information obtained in the step S3; S5, the inter-domain controller issuing a node resource allocation strategy and a link resource allocation strategy to all intra-domain controllers; S6, the blockchain node updating the credit of the node. According to the scheme, the problems that in the prior art, part of malicious nodes have negative effects on resource arrangement of the service function chain, the trust degree is low in resource allocation in a cross-domain environment, and the resource allocation efficiency is low are effectively solved.

The embodiment of the invention provides an information processing method and device, a computer readable medium and electronic equipment. The information processing method comprises the steps of obtaining a service request message of a to-be-processed service; acquiring service information corresponding to the service to be processed according to the service request message; querying according tothe service information to generate identification information corresponding to the to-be-processed service, the identification information being used for describing priority information of the to-be-processed service; and associating the identification information with the service request message so as to perform resource scheduling on the service request message according to the identificationinformation. According to the technical scheme provided by the embodiment of the invention, resource allocation can be performed on different types of services, so that the resource requirements of different types of services are met.