107 results about "Network resource management" patented technology

The invention discloses a multi-stage scheduling architecture control method based on a TSN network. Efficient management of network resources is realized through modular cooperation. The time synchronization calibration module periodically calibrates the difference of multiple clock sources by using an improved network time protocol and jitter monitoring to ensure the time unification of the whole network; the priority analysis module divides data streams according to a reference value, and determines time slot distribution of key and non-key streams; and the traffic peak period scheduling module dynamically adjusts resources by using a time triggering algorithm to ensure key data transmission. Meanwhile, the real-time path optimization module deals with delay exceeding based on a Dijkstra algorithm, the intelligent load balancing module is combined with a random forest algorithm to deal with an overload problem, and the rapid fault switching and isolation module realizes rapid fault response through redundant paths and topology analysis. And iteratively adjusting the parameters according to the key indexes. According to the method, full-process closed-loop control from time reference unification to dynamic resource scheduling and fault processing is realized, and the transmission stability and the resource utilization rate of the TSN network are effectively improved.

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 application provides a heterogeneous fusion computing network resource management and control method and device, relates to the technical field of communication, and adopts a hierarchical game mode for the heterogeneous fusion computing network system with two communication systems of satellite communication and ground communication, adopts non-cooperative game between layers and cooperative game within layers, and the combination of the two game modes can effectively reasonably allocate network resources in the computing network system, and realizes efficient and accurate computing network resource management and control under diversified communication systems.

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 present invention discloses an access address configuration method, apparatus, electronic device, and storage medium. The method comprises: obtaining the resource address of at least one network resource to be allocated; encapsulating the resource address into a callback address according to a preset encapsulation rule; and registering the callback address with a preset access source. Embodiments of the present invention achieve unified access management for different network resources through the use of preset access sources, reducing the difficulty of network resource management and improving the utilization efficiency of network resources.

A method and system for resource management and content collaborative caching in a space-ground integrated network, belonging to the field of space communication technology, includes: dynamically sensing current space-ground integrated network information using a time-slot division method; in the application scenario of space-ground collaborative caching and content access, the end user sends content request information through access satellite nodes based on environmental perception. The access satellite nodes first search for current content cache information within their own nodes, then search for cached content on other satellite nodes in an inter-satellite collaborative manner, and finally search for cached content at the ground cloud center in a space-ground collaborative manner, and route and forward the request through inter-satellite links to achieve the fastest possible response to the requested content. This invention, by adopting a method based on satellite neighborhood search and space-ground collaborative access, realizes the fast access service capability of space-ground collaborative and inter-satellite collaborative content cache, effectively reducing the design complexity of the space-ground integrated network system and improving the operational efficiency of the space-ground integrated network.

The invention provides a network architecture, a network resource management method and a related device, and the network architecture comprises a main node of an IAB network, which is used for being connected with a core network through a wired return link; a plurality of distributed nodes of the IAB network; and the resource management platform is used for authenticating whether the distributed nodes are legal identities or not by adopting a block chain technology, and indicating the main node to be connected with the distributed nodes with the legal identities through a wireless return link to form a target network. The management method comprises the following steps: checking whether idle resources exist in a target network to obtain a checking result; if the idle network resources exist, evaluating a reputation value of each distributed node in the target network, and determining an optimal route of the network resources in the target network according to the reputation value; and obtaining transaction resource information of each link node on the optimal route, packaging the transaction resource information into a block, and completing block chain consensus by using the block. The network architecture disclosed by the invention can be conveniently expanded and has high security.

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 resource management node deployment method based on artificial intelligence, and relates to the technical field of network resource management, and the method comprises the following steps: S1, constructing a resource node parameter vector set and a state initialization data set; s2, performing function vector clustering by using the resource parameter vector set; s3, performing node deployment mapping logic construction by using the functional region data set; s4, performing node role determination by using the deployment mapping matrix; s5, generating a deployment instruction set by using the deployment mapping matrix and the role label set; and S6, performing multi-scene response verification by using the deployment execution data stream. The method comprises the following steps of: screening and aggregating functional dimensions in a resource parameter vector set according to a set similarity threshold value by setting a measurement mode which takes resource feature structured data as a basis, adopts a functional similarity clustering analysis mechanism and combines Euclidean distance as similarity between feature vectors, so as to generate a functional region data set;

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.

The invention relates to an enterprise contact portrait construction and intelligent service system based on big data, constructs an enterprise-level contact resource management system supporting dynamic multi-dimensional portrait generation, privacy compliance calculation and intelligent scene service, and breaks through the technical barriers of data fusion, deep modeling and real-time service. Through the system structure, data collection-portrait-service full-link break-through is realized, and the UEID runs through all modules to ensure that accurate portrait construction and service generation are completed in a data desensitization state; flink stream processing and GNN are used to realize second-level updating of portraits, real-time performance of enterprise contacts is better, output structured results are more referenced, a visual reasoning path is set, and business credibility is enhanced; the user contact end is provided with a closed-loop feedback mechanism, and the setting quantity of the updating module is optimized through feedback of internal personnel of an enterprise.

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 virtualization method for audio frequency integrated network resources, which belongs to the technical field of audio frequency network resource management, and comprises the following steps of: constructing a distributed virtual switch layer covering a subnet, embedding a virtual switch instance into a kernel mode network stack of each physical host in a cluster, dynamically mapping the cloud hosts in the subnet to a physical host group through a consistent Hash algorithm; when a cloud host sends an audio data packet, a source physical host virtual switch instance executes the following steps: extracting a DSCP field and marking the DSCP field as EF, and through GRE-over-UDP tunnel packaging, replacing a target MAC address with a virtual MAC address of a next hop virtual switch instance; and after the virtual switch instance of the target physical host is decapsulated, delivering the audio packet to the target cloud host based on the virtual port forwarding table. According to the method, efficient virtualization transmission of audio data is realized through a distributed virtual switching layer and a consistent Hash mapping mechanism, QoS guarantee and low-delay transmission are supported, and the method is suitable for audio network resource management in a large-scale cloud environment.

The invention relates to the technical field of communication network resource management, in particular to an operator dumb resource intelligent management system and method based on artificial intelligence, and the system comprises an intelligent data collection module, an edge intelligent processing module, a cloud AI core platform, a digital twinborn visualization module, and a natural language interaction module. The method has the beneficial effects that multi-dimensional data of dumb resources are collected through equipment such as an Internet of Things sensor and an industrial camera, the multi-dimensional data are uploaded to a cloud after being subjected to lightweight processing of edge nodes, intelligent decisions such as resource scheduling and fault diagnosis are realized by utilizing a knowledge graph and a machine learning model, and finally efficient management is realized through interaction of a digital twin interface and a natural language. The problems of inaccurate data, low scheduling efficiency, slow fault processing and the like in traditional dumb resource management are solved, the resource utilization rate and the operation and maintenance efficiency are remarkably improved, and the method is suitable for a large-scale dumb resource management scene of a communication operator.

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 application discloses a network communication technical field for 6G slice explainability and sensitivity perception federated deep learning method, through the explainable federated learning local model, the call drop rate of each radio access network (RAN) slice is predicted, meanwhile, the sensitivity perception and explainability index are taken as the constraint in the setting of such non-independent and identically distributed local data set, the reliability of the interpreter is quantitatively verified through the logit score, and the score can be taken as the constraint condition in the runtime federated learning optimization task, and the method provided by the application is obviously superior to the performance of the traditional unconstrained integral gradient post-self-organizing federated deep learning, and can effectively reduce the complexity of network resource management.

The present invention relates to a method, system, storage medium and electronic device for building a container network. The system includes a Kubernetes cluster, a CNI plug-in, a resource management system and a cloud platform. The resource management system includes a resource management module, a resource proxy module and an IaaS provider module connected in sequence. The Kubernetes cluster is connected to the CNI plug-in. The resource management module is also connected to the CNI plug-in. The IaaS provider module is connected to the cloud platform. The IaaS provider module is used to connect to the upper cloud platform module through the built-in IaaS provider resource management protocol. Various resource management protocols only provide general description information of resources that are not related to the cloud platform. The capability self-description protocol indicates the network resource management capabilities that the IaaS provider module can provide. In the present invention, the network plug-in is decoupled from the specific cloud platform through the IaaS provider resource management protocol. Only a small amount of corresponding IaaS provider modules are developed to quickly realize the use of the cloud platform VPC network capability Underlay high-performance network plug-in and quickly connect to different cloud platforms.

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.

The application discloses a network resource management method and device, a storage medium and a program product. The network resource management method comprises the following steps: acquiring a predicted growth amount of a first type of users in a next period according to a periodical growth record of the first type of users in a computer room, wherein the first type of users refer to users using a first network port; calculating a network card demand value of the computer room according to the predicted growth amount and an idle number of the first network port in the current period, wherein a set number of first network ports are arranged on the network card; calculating an overall network card demand value of a target region according to the network card demand values of the computer rooms in the target region; and calculating a network resource increase amount of the target region according to the overall network card demand value. The technical scheme realizes reasonable increase of network resources in each region.

The application provides a container-level network resource efficient management method for a deterministic distributed computing scene, and mainly solves the problems that the prior art cannot effectively manage network resources at the container level, the real-time performance of task scheduling is low, the success rate is low, and resources are wasted and the like. For the deterministic distributed computing scene, efficient network resource management at the container level is needed, first, the network resource controller needs to be extended, and a Service service is configured so that the container can communicate with the external cloud server; then, the use of network resources by the container is controlled by configuring a network strategy; further, the container tasks are aggregated according to the real-time performance and determinacy requirements of the tasks, and the transmission efficiency of the container tasks is improved; finally, the aggregated tasks are stored and transmitted. The method takes the container virtualization technology as the implementation means, aggregates the container tasks in multiple time slots based on the dynamic programming algorithm, and continuously optimizes the algorithm parameters in combination with the artificial intelligence technology, which not only guarantees the real-time performance and success rate of the tasks, but also significantly improves the resource utilization.

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 disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Specifically, the disclosure related to a method for sharing an announcement and a de-announcement of a multicast-broadcast services (MBS) session. The method comprises receiving an MBS usage information extensible markup language (XML) document from a SEAL network resource management-server (SNRM-S) module, wherein the MBS usage information comprises MBS session announcement / de-announcement information associated with one or more MBS sessions. Thereafter the method comprises parsing the received MBS usage information to extract MBS session announcement / de-announcement information. Further, the method comprises transmitting the parsed MBS session announcement / de-announcement information to at least one vertical application layer (VAL) client module in the UE.

The application provides a task-driven hierarchical heterogeneous network resource management data unloading method; comprising: modeling the multi-dimensional resource management and task scheduling problem of a heterogeneous multi-access MEC network; determining the priority of task processing, and adopting a data unloading strategy for task scheduling and data unloading processing; after the intelligent reactive jammer detects the data unloading of the heterogeneous user, the jammer adopts the tracking jamming or dynamic jamming mode to hinder the data transmission unloading behavior; the internal users of the heterogeneous multi-access MEC network adjust the respective association matching relationship with the wireless access node / base station; the heterogeneous user adjusts the respective association strategy and unloading parameter according to the perceived jammer behavior, the transmission demand of the own task and the data unloading behavior of other users. The model is complete, reasonable and effective.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Disclosed is a method and system for sharing a user equipment (UE) session join notification for a multicast and broadcast services (MBS) session in 5th generation (5G) using service enabler architecture layer (SEAL) network resource management (SNRM) service. The method includes generating, by the UE, a hypertext transfer protocol (HTTP) POST request based on a request from a vertical application layer (VAL) client of the UE, and transmitting, by the UE, the UE session join notification for the MBS session using the HTTP POST request to a SEAL network resource management-server (SNRM-S).