57 results about "Network resource management" patented technology

The invention discloses a service scheduling method and system for a photoelectric hybrid low earth orbit satellite network, and relates to the technical field of satellite communication and network resource management.The method comprises the steps that the photoelectric hybrid low earth orbit satellite network is constructed, and topological information, node information and a to-be-scheduled service set of the photoelectric hybrid low earth orbit satellite network are obtained; establishing a mixed integer linear programming model containing node selection constraint, service scheduling sequence constraint and routing constraint by taking the minimum weighted sum of the total service completion energy consumption and the total service completion time as a target; in order to solve the problem of high model complexity, a heuristic algorithm based on simulated annealing is designed, and efficient solution is carried out by iteratively optimizing a scheduling sequence and a routing path of a service; and finally, implementing service scheduling according to the obtained optimal scheduling scheme. According to the method, heterogeneous characteristics of the photoelectric nodes and link resource conflicts are fully considered, dynamic balance of energy consumption and time delay is achieved, network energy efficiency and business service quality are remarkably improved, and the method is suitable for efficient operation of large-scale low-orbit satellite constellations.

The invention relates to the technical field of content distribution network resource management, and provides a resource scheduling method, device and equipment, a storage medium and a computer product, a service request is received, a feature vector of the service request is determined, and the feature vector represents the service processing complexity, the service quality level and the service weight factor of the service request; obtaining one or more of load information, performance information and fault information of the node to determine a computing power score of the node; and determining a resource scheduling strategy of the service request based on the feature vector and the computing power score. The computing power demand of the service request is measured from multiple angles, the computing power demand evaluation accuracy is improved, the resource scheduling strategy is determined based on the computing power demand of the service request represented by the feature vector and the computing power score of the node, the service computing power demand can be dynamically matched, and the resource scheduling efficiency is improved. The computing power score of the node is determined based on one or more of load information, performance information and fault information, and burst traffic and node state dynamic changes can be handled.

The invention relates to the technical field of network resource management, and discloses an intelligent building weak current equipment multi-protocol compatible method and system, and a storage medium. The method comprises the steps of collecting multi-protocol network data streams, extracting data packet lengths and arrival interval time as classification features, dividing network data packets into three data packet groups of short and small high frequency, medium stability and large flow, and forming a real-time response network sequence through a priority queue scheduling mechanism and preferentially transmitting the short and small high frequency groups, the method comprises the steps of receiving a real-time response sequence, calculating residual bandwidth to adjust a network buffer area, packaging and splitting a large-flow data packet group to generate transmission sub-blocks, merging the real-time response sequence and the transmission sub-blocks through a merging rule, dividing the merged real-time response sequence and the transmission sub-blocks into a plurality of data stream segments, and distributing a transmission path for each data stream segment. And monitoring bandwidth occupation and transmission delay of each transmission path, and dynamically adjusting path distribution of the data stream segments. According to the invention, the utilization efficiency of network resources and the real-time performance of data transmission in a multi-protocol environment are improved.

The invention relates to the field of cloud edge cooperative scheduling, and discloses a communication network resource management system and method based on intelligent scheduling, and the method comprises the steps: carrying out the phase separation domain splitting processing of a real-time communication trace, scattering the carrier wave off-modulation texture, the edge channel congestion emergence sequence and the micro-burst session cluster to a plurality of dynamic interaction cavities; under the guidance of the time-varying disturbance skeleton diagram, performing reverse stitching and rhythm bias turn-back on the cloud edge response loop, and writing the cloud edge response loop into an instantaneous cache loop of an edge node; identifying a cloud edge response loop and constructing a self-adjusting sequence factor through signal folding disorder in an error frequency recursion layer; based on a time sequence reconstruction pattern in a transition state regulation and control domain, mapping each edge node into a potential distribution factor matrix; and when the intelligent scheduling chain track enters the stable plastic transition window, performing lamination fusion calculation processing on the transition state regulation and control domain. The method has the advantage of improving the utilization rate of network resources.

The application relates to the technical field of network resource management and the technical field of reinforcement learning, and discloses a spectrum decision method, device and equipment based on a double-graph structure and reconstruction cost, which comprises the following steps: inputting original state data of low-altitude intelligent networking into an actor network of a reinforcement learning architecture, generating a predicted spectrum decision scheme of the low-altitude intelligent networking through the actor network, and obtaining an expected reward value output by a critic network based on the original state data and the predicted spectrum decision scheme; determining a trained actor network based on the expected reward value and an actual reward value; and generating a target spectrum decision scheme of the low-altitude intelligent networking based on a current double-graph structure and the trained actor network. The application can improve the generation efficiency of the target spectrum decision scheme of the low-altitude intelligent networking.

The application discloses a wireless network resource joint optimization method and system based on federal feature sparsification, relates to the technical field of wireless communication network resource management, and discloses the wireless network resource joint optimization method and system based on federal feature sparsification, which reduces the transmission data amount through feature sparsification processing, protects privacy in combination with noise disturbance, and dynamically generates a resource allocation strategy based on global feature analysis, can improve resource allocation efficiency and reduce communication overhead, and simultaneously improves the privacy protection capability.

The invention discloses a computer network management method, which relates to the technical field of computer network management, and is characterized in that three groups of algorithm units in a computing processing module are matched with one another to jointly form a core architecture of the computer network management method; a plurality of influence factors such as bandwidth usage amount, data packet quantity and data packet size can be comprehensively considered, real-time network performance indexes of different users are calculated, a task with the shortest execution time is selected to be executed preferentially according to the network performance indexes and a short job priority (SJF) algorithm, network resource distribution of the multiple users is completed, and the user experience is improved. The efficiency of network resource allocation is improved, and the fairness of network resource management and allocation is ensured; and when the user carries out secondary broadband utilization rate calculation, the network performance index calculated last time is substituted into the formula to carry out iterative calculation, a new network performance index is obtained, and network resource allocation is optimized and adjusted in real time according to the new network performance index.

This application proposes a network resource management method, system, storage medium, and product based on SDN networks. The method includes: after a cloud host starts up, determining whether a shutdown command for the cloud host is received; if a shutdown command for the cloud host is received, releasing the network resources allocated to the cloud host, and performing a shutdown operation on the cloud host after the release is completed; thus, it is possible to avoid the cloud host continuously occupying limited network resources in a shutdown state, thereby improving the utilization rate of network resources.

The invention discloses a natural language query model extraction method and system, and belongs to the technical field of communication network resource management. The technical problems to be solved are that a natural language query interface in an existing resource management system is high in query failure rate and inaccurate in result due to inaccurate resource model identification, incomplete table relation understanding and weak query intention analysis capability. Comprising the steps that resource class names related to query statements are retrieved through Elasticsearch to serve as candidate resource class names; retrieving a resource model related to the candidate resource class name as a candidate resource model; performing keyword retrieval on the rewritten query statement, and matching a related resource model as a supplementary resource model; determining a resource model queried by a user as a main target model through the large model; analyzing an incidence relation between the main body target model and other resource models based on a table relation graph; and taking the resource model irrelevant to the association model set as an isolated model, and excluding the isolated model.

The invention discloses a network resource quality multi-dimensional portrait evaluation method and system, and belongs to the technical field of network resource management and quality evaluation, and the method comprises the steps: constructing an evaluation system which comprises three core dimensions of data management and control, flow management and control and business operation support and two auxiliary dimensions of basic management and solving evaluation; multiple evaluation indexes and preset weights are configured for each dimension; calculating the score of each index according to a non-linear scoring rule, and performing upward convergence according to the weight to generate a whole province, city, district and county and professional level resource quality portrait; generating a whole network resource quality portrait and performing multi-level presentation; and multi-dimensional problem root cause positioning and first-line enabling: based on the problem list data, performing clustering analysis and identification, and generating a first-line improvement work order. According to the method, the comprehensiveness and accuracy of resource data quality evaluation can be improved, the problem response time is shortened, the operation and maintenance cost is reduced, and data support is provided for network resource optimization configuration and service development.

This application relates to a method, apparatus, device, and storage medium for managing network resources, and pertains to the field of communication technology. The method is applied to a network resource management model, which includes a first-level operator central control unit (CU) and at least one second-level operator CU. The first-level operator CU is connected to at least one second-level operator CU. The first-level operator CU is used to configure base station-level information, and the second-level operator CU is used to configure cell-level information. The method includes: a target second-level operator CU acquiring measurements of network performance within a target logical cell; the target second-level operator CU being any one of at least one second-level operator CU; and the target second-level operator CU sending the measurements to the first-level operator CU. This allows for better collection and reporting of measurements from participating operators.

The invention provides a space-air-ground integrated network resource management method and system and a storage medium, and belongs to the technical field of wireless communication and network resource dispatch. The method comprises the steps that a space-air-ground integrated network is constructed, a GU is provided with an energy collection module and a backscatter circuit, and the backscatter circuit is connected with the GU; low-power-consumption data transmission and energy collection are realized by reflecting a radio frequency carrier signal emitted by the UAV; the UAV carries a mobile edge computing server to process a task, and the task is unloaded to the LEO when the task is overloaded; a central controller collects network state and channel state information in real time, a random optimization function is constructed by taking minimization of long-term average energy consumption of a system as a target and combining constraints such as task queue stability and energy sustainability, a Lyapunov optimization framework is adopted to convert the problem into a single time slot problem, and the problem is solved through alternate optimization and concave-convex process technologies. According to the method, the stability of the task queue is guaranteed, the system energy consumption is remarkably reduced, the resource utilization rate is improved, and reliable support is provided for remote area power emergency communication.

The invention discloses a network resource management system suitable for network slicing, relates to the technical field of network resource management, solves the problem that in the prior art, resource supply cannot be deeply monitored through service flow resource supply, and resource supply efficiency is abnormal, and particularly provides a network resource management system suitable for network slicing through whole-process closed-loop management of monitoring-optimization-decision-recovery. Three core values are realized: in a user level, full-link management and control from an application layer index to resource supply adjustment are realized, the problems of jamming, retransmission and the like are effectively reduced, and the experience stability of different service users is guaranteed; in the resource level, through accurate prediction, dynamic interference elimination and scientific recovery, resource scrambling, waste and idling are avoided, and efficient distribution and turnover of network resources are achieved; according to the system level, traditional static management and control are replaced by data driving, so that resource management of network slices is more intelligent and flexible, different requirements of different services can be met, and the bearing capacity and operation stability of the whole network are improved.

This invention discloses an internet asset management method, relating to the fields of device operation and maintenance and asset management. The method includes: acquiring policy information of each internet device and configuring topology nodes according to the policy information of each internet device; wherein, the topology nodes include device nodes that perform address port translation operations and asset nodes that provide external services; configuring topology edges according to the policy information of the device nodes; wherein, the topology edges include translation edges describing address port mapping relationships and attribution edges describing the subordinate relationships between device nodes and asset nodes; and generating an asset link topology through a graph database based on the device nodes, asset nodes, translation edges, and attribution edges. The technical solution of this invention not only realizes automated operation and maintenance of internet assets, improving the security and operational efficiency of internet assets, but also optimizes the network resource management process, ensuring the timeliness of internet asset management.

The application relates to the technical field of network resource management and the technical field of reinforcement learning, and discloses a spectrum decision method, device and equipment based on a double-graph structure and reconstruction cost, which comprises the following steps: inputting original state data of low-altitude intelligent networking into an actor network of a reinforcement learning architecture, generating a predicted spectrum decision scheme of the low-altitude intelligent networking through the actor network, and obtaining an expected reward value output by a critic network based on the original state data and the predicted spectrum decision scheme; determining a trained actor network based on the expected reward value and an actual reward value; and generating a target spectrum decision scheme of the low-altitude intelligent networking based on a current double-graph structure and the trained actor network. The application can improve the generation efficiency of the target spectrum decision scheme of the low-altitude intelligent networking.

1. The name of the design product: network resource visualization management graphical user interface for electronic equipment. 2. The use of the design product: for electronic equipment. 3. The design points of the design product: the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: interface change state diagram 1. 5. Other views are conventional designs, and other views are omitted. 6. The use of the graphical user interface: the graphical user interface is a graphical user interface displayed by user operation in application running, used for human-computer interaction, running program and displaying information, and intuitively presents network resource dynamic allocation and management information, wherein the displayed information is randomly generated information or test information. 7. The human-computer interaction mode of the graphical user interface: the main view is a login interface, after the user inputs account, password and verification code and clicks login on the login interface, enters interface change state diagram 1; interface change state diagram 1 is a network resource management overview interface, the upper part of the interface displays network resource types and each function module, the lower part of the interface displays the home page and the personal interface, clicking any function module in interface change state diagram 1 can view the resource situation under the module, wherein clicking the function module "transmission resource" jumps to interface change state diagram 2; clicking the detail button of any site in interface change state diagram 2 can view the optical distribution box details of the site, wherein clicking the detail button of Changde Wuling District Longgang Road Shagang Road GJ01 site jumps to interface change state diagram 3.

The invention provides a resource allocation method and device, equipment, a medium and a product, and relates to the field of network resource management. Comprising the following steps: acquiring measurement data of all network nodes in a to-be-distributed network system; splitting the measurement data according to the network slice dimension of the to-be-distributed network system to obtain a data queue corresponding to each network slice; according to a preset monitoring period, performing aggregation processing on the slice measurement data to obtain slice aggregation data of the network slice in the preset monitoring period; according to the slice aggregation data, calculating a resource violation amount of the to-be-allocated network system; and if the resource violation amount is greater than 0, triggering resource allocation of the to-be-allocated network system so as to generate a resource scheduling strategy for the network nodes in the to-be-allocated network system through the data queue. The technical problem of low resource allocation efficiency caused by low network resource utilization rate due to dependence on a static or semi-static strategy and poor flexibility in the prior art is solved.

A method is disclosed for managing the resources of a communication network connecting one or more user devices connected to a gateway connected to at least one service provider. The method comprises providing a central management module cooperating with the gateway, which stores first priority values associated types of the user devices and, for each of the user devices, identifies one or more services provided by the device and stores a respective second priority value for each service. For each service, it calculates a CoS value based on the first priority values or the second priority values. The method further comprises providing a client management module to be installed in each user device, which operates the user device to provide measurement data of a perceived QoE associated with each service. The central management module then manages the resources by processing the measurement data and the CoS values.

Provided are a method for balancing a cell load, a device for balancing a cell load, a computer program product and an electronic device, the method comprising: determining a candidate cell based on the number of first activated users in a neighbor cell deactivation state and a first user threshold; and in a process of responding to the radio resource control recovery request, based on a condition that the number of second activated users in a service cell deactivation state is greater than or equal to a second user threshold corresponding to the service cell, configuring a candidate cell in a radio access network notification area so as to guide a terminal in the deactivation state to migrate to the candidate cell. Therefore, the load balancing of the UE in the RRCINACTIVE state can be realized, the uniform distribution of resources in each cell in the area can be ensured, the overload of the service cell is prevented, the security, stability and capacity of the system are improved, and the network resource management effect is optimized.

Aspects of the disclosure provide a method and apparatus, computer readable medium for media session management in wireless communication. The method includes obtaining session description protocol (SDP) information within a session initiation protocol (SIP) payload associated with a media session, a media session management module of a VAL server sending a network resource request including the SDP information to a network resource management (NRM) server. The NRM server can be a service enabler architecture layer (SEAL) server. The network resource request can request network resources. The method further includes the VAL server receiving an evaluation of the network resource request from the NRM server. Based on the received evaluation, establishing or terminating the media session in the media session management module of the VAL server.

The invention relates to a service-driven network resource management method and system, and the method comprises the following steps: S1, carrying out the semantic analysis of an input configuration requirement, and generating a network configuration demand according to the predefined configuration; s2, acquiring the network state of the equipment layer; s3, according to the network state of the equipment layer and the network configuration requirement, performing segmented routing calculation, and generating a network path configuration instruction; and S4, generating a network configuration file according to the network path configuration instruction, and issuing the network configuration file to the equipment layer to perform network configuration of the equipment layer. According to the method, a flexible and efficient coping strategy under multiple tasks can be effectively solved, and the predefined semantic configuration strategy is continuously iteratively updated by utilizing the generic interpretation capability of the large language model, so that rapid issuing of new requirements is realized.

The invention discloses a crowd sensing network resource management optimization method and system based on unmanned aerial vehicle assistance, and relates to the technical field of wireless communication, and the method comprises the steps: obtaining user state data and unmanned aerial vehicle state data; wherein the user state data comprises a user position, maximum energy consumption, a sensing rate and an unmanned aerial vehicle position; the unmanned aerial vehicle state data comprises an unmanned aerial vehicle position, maximum energy consumption, a user position and other unmanned aerial vehicle positions; and inputting the user state data and the unmanned aerial vehicle state data into a pre-established joint optimization framework model, converting a joint optimization problem into a partially observable Markov decision process, solving based on a multi-agent deep reinforcement learning algorithm of heterogeneous agent near-end strategy optimization, and outputting to obtain a joint optimization result. And based on a joint optimization result, maximization of the sensing data processing amount in crowd sensing network resource management is realized.

1. Name of the product in this design: Resource Verification Instrument (FOH-200XG-MAX). 2. Purpose of this design: For optical network resource management and maintenance. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present disclosure provides a method (300) in a Vertical Application Layer, VAL, server. The method (300) includes: transmitting (310), to a Network Resource Management, NRM, server, a monitoring event subscription request. The monitoring event subscription request contains: a list of identities, IDs, of one or more VAL users or VAL User Equipments, UEs, for which event monitoring is requested, or a VAL group ID of a group of one or more VAL users or VALUEs for which event monitoring is requested, and a monitoring profile ID corresponding to a list of one or more events to be monitored, or event details indicating a list of one or more events to be monitored. The method (300) further includes: receiving (320), from the NRM server, a monitoring event subscription response as a response to the monitoring event subscription request.

The invention provides an optical cable network resource management method and system combined with deep learning in the technical field of crossing of optical communication network management and artificial intelligence. The method comprises the following steps: S1, preprocessing optical cable network operation and maintenance data to obtain optical cable network operation and maintenance basic data; s2, inputting the optical cable network operation and maintenance basic data into the network fault diagnosis model to obtain a network fault diagnosis result; s3, inputting the optical cable network operation and maintenance basic data and the network fault diagnosis result into a repair strategy generation model to obtain a network fault repair strategy, and executing network fault repair; s4, inputting the optical cable network operation and maintenance basic data, the network fault diagnosis result and the network fault repair result into the security situation awareness model to obtain a security situation awareness result; and S5, uploading the knowledge data to a server. The method has the advantages that intelligent fault diagnosis, quick self-healing and active safety protection are realized, so that the reliability and the operation efficiency of the network are greatly improved.

This application provides a tenant-oriented network resource management method and apparatus, relating to the field of communication technology, and solves the problem in the prior art that operators only support network resource allocation and management based on slice granularity, resulting in low network resource utilization and management efficiency. The method includes: a first network device sending a first request to a second network device, the first request including first indication information and a tenant identifier, the first indication information being used to instruct the tenant to perform corresponding network resource allocation and management according to tenant granularity; and receiving a first response from the second network device, the first response including a network slice instance identifier corresponding to the tenant and a resource allocation result.

1. Name of the product in this design: Graphical User Interface for Cloud Platform Network Resource Management of Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are: the graphical user interface content that displays information. 4. The image or photo that best illustrates the design points: Interface change state diagram 2. 5. Purpose of the graphical user interface: This graphical user interface is used for cloud platform network resource management. The main view is the login interface for the cloud platform. In the main view, after the user enters their account and password, they click the "Login" button to enter the interface change state diagram 1, which displays the cloud platform homepage interface. In Interface Change State Diagram 1, when the user clicks the "Network Resources" button, they enter Interface Change State Diagram 2, which displays the Network Resource Management Interface. In the interface change state diagram 2, the user clicks the "VXLAN Pool" column on the left to enter the interface change state diagram 3, which displays the VXLAN Pool interface. In the interface change state diagram 3, the user clicks the "Public Network" column on the left to enter the interface change state diagram 4, which displays the public network interface. In the interface change state diagram 4, the user clicks the "Flat Network" column on the left to enter the interface change state diagram 5, which displays the flat network interface. In the interface change state diagram 5, the user clicks the "VPC Network" column on the left to enter the interface change state diagram 6, which displays the VPC network interface. In the interface change state diagram 6, the user clicks on the "VPC Router" column on the left to enter the interface change state diagram 7, which displays the VPC router interface. In the interface change state diagram 7, the user clicks the "Router Mirroring" column on the left to enter the interface change state diagram 8, which displays the router mirroring interface. In the interface change state diagram 8, the user clicks the "Firewall" bar on the left to enter the interface change state diagram 9, which displays the firewall interface. In the interface change state diagram 9, the user clicks the "Port Forwarding" column on the left to enter the interface change state diagram 10, which displays the port forwarding interface. In the interface change state diagram 10, the user clicks the "Load Balancing" column on the left to enter the interface change state diagram 11, which displays the load balancing interface.

The invention provides a message transmission method and a network function determination method and device, and aims to solve the problem of how to determine a service core network for a terminal by a satellite network. The method provided by the embodiment of the invention comprises the following steps: a terminal sends a first message to a satellite access network node, the first message comprises first network information of the terminal, and the first network information is used for assisting in determining a first network function or a second network function of a first core network providing service for the terminal; wherein the first network function comprises at least one of the following functions: a core network entry function, an access management function, and an access and mobility management function; the second network function comprises at least one of a network resource management function and a mobility management network function.

The invention belongs to the technical field of intelligent control and the Internet of Things, and particularly relates to a distributed cooperative control method for lighting equipment based on an operating system of the Internet of Things. The distributed cooperative control of the lighting equipment is converted from a traditional mode of application layer protocol + centralized server to a mode of operating system kernel-level service + distributed peer-to-peer cooperation, and compared with a common centralized control scheme (such as a typical intelligent street lamp cloud platform architecture) based on an MQTT / CoAP protocol connection cloud platform in the prior art, the distributed cooperative control of the lighting equipment is improved. According to the scheme, the dependence on the central server is eliminated, the single-point fault risk is avoided, meanwhile, kernel-level abstraction of the service intention is achieved through the cooperation mode descriptor and the global cooperation registry, and control logic is not separated from network resource management any more.