70 results about "Cloud resource management" patented technology

Systems and methods of the disclosure include: identifying, by a cloud resource management system, a cloud resource consumption model associated with one or more cloud resources; generating, by the cloud resource management system, a sequence of instructions implementing a smart contract based on the cloud resource consumption model; sending, to a distributed ledger network, the smart contract; receiving, by the cloud resource management system, cloud resource usage data associated with the one or more cloud resources; and causing, by transmitting a message reflecting the cloud resource usage data to the distributed ledger, the smart contract to be executed.

The invention discloses an operation and maintenance data management system based on cloud computing, particularly relates to the field of data management, and comprises a distributed data acquisition module, a cloud native data processing module, an intelligent analysis module, a visualization and decision module and a cloud resource management center module. According to the method, heterogeneous data are collected in real time through the lightweight agent, and high efficiency is guaranteed by adopting multi-thread and self-adaptive sampling; data cleaning, standardization and mixed storage are realized by using a stream batch integrated architecture; the intelligent analysis module fuses an improved Robust Z-Score, an LSTM-Attention model and a complex event processing engine, and supports dynamic anomaly detection and fault tracing; the visual assembly builds an instrument panel in a dragging mode, alarm strategies are aggregated in a grading mode, and storm is restrained; the cloud resource management center deeply integrates Kubernetes, predicts demands based on reinforcement learning, automatically expands and shrinks capacity and optimizes cost, and deals with burst traffic in combination with a burst capacity pool.

The invention discloses a cloud resource management method, system and device and a storage medium, and relates to the technical field of cloud computing, and the method comprises the steps: predicting the cloud resource demand of a cloud platform in a future preset time window according to the current business index data and current resource use data of the cloud platform, the service index data and the resource use data are used for determining a coupling relationship between the service load and the resource consumption, so that prediction deviation generated by data isolation analysis is avoided, the prediction precision of the cloud resource demand with strong time-varying characteristics is improved, and finally, a dynamic adjustment strategy is generated according to the predicted cloud resource demand and a resource adjustment request is sent to a cloud platform. It is ensured that the adjusted cloud resources accurately adapt to requirements in a future preset time window, and cost waste and service performance reduction are avoided. The technical problem that the cloud resource demand at the future moment cannot be effectively and accurately predicted is solved, and the technical effect of dual optimization of the resource utilization rate and the service quality in the dynamic load scene is achieved.

The invention discloses a heterogeneous cloud resource management method and device, equipment and a storage medium, and relates to the technical field of cloud computing, and the method comprises the steps: obtaining cloud platform resource information; calling a resource management engine interface to perform resource verification on standardized resources in the cloud platform resource information, and determining resource operation information and task request information; calling a task engine interface based on the task request information to map the resource operation information into a corresponding bottom-layer resource task, and determining target execution request information according to a resource request identification parameter in the bottom-layer resource task; and performing resource instantiation based on the target execution request information, determining resource execution result information, and completing heterogeneous cloud resource management based on the resource execution result information. According to the method, resources are managed through the resource management engine, repeated development is reduced, cost is reduced, tasks are efficiently managed through the task engine, resource instantiation is achieved, heterogeneous cloud resource management is completed, and system performance and compatibility are remarkably improved.

The invention discloses an intelligent scheduling interaction system of an intelligent operation centralized control center, which relates to the technical field of power scheduling and comprises a centralized control cloud platform, an intelligent centralized control platform, a data analysis platform, a database and a real-time data monitoring terminal, the centralized control cloud platform comprises basic resources such as a computing resource pool, a storage resource pool, an east-west security resource pool, a network resource pool and a cloud resource management tool, and the basic resources are provided for construction of the intelligent centralized control center. And real-time updating and upgrading can be realized, so that the interaction system capability and the application capability are ensured to advance with the times, the system is ensured to have relatively long vitality and expansion capability, and the stability and the safety of the technology are ensured while the advancement of the system is ensured.

The invention discloses a cloud resource management method and device, a medium and equipment. The method comprises the following steps: receiving a standardized resource request submitted by a user, firstly converting the standardized resource request into structured task data, then analyzing the structured task data by utilizing a preset process engine, and generating an execution process containing an atomic operation sequence. Based on a preset event-driven architecture, the execution process is distributed to the adapter cluster, the adapter cluster generates each standardized instruction according to the atomic operation sequence, adapts the instructions into an interface format which can be identified by the target platform through a preset protocol conversion module, and finally outputs the instructions to the interface of each target platform. According to the process, end-to-end automatic management from user requests to cross-platform resource operation is realized, and the efficiency and flexibility of heterogeneous cloud resource management are improved.

The invention relates to the technical field of vehicle function research and development, in particular to a remote debugging method and device for functions of a vehicle-mounted entertainment system, electronic equipment and a medium, and the method comprises the steps: determining a current remote debugging demand, determining an item to be debugged according to the current remote debugging demand, and generating a resource downloading instruction according to the item to be debugged, and sending a resource downloading instruction to the target debugging equipment, so that the target debugging equipment pulls the debugging resource based on the resource downloading instruction, debugging the vehicle-mounted entertainment system function of the vehicle based on a preset debugging instruction when an adjustable prompt of the target debugging equipment is received, and generating a debugging result after debugging is completed. Therefore, the problems of long distance between test equipment and developers, low debugging efficiency, difficulty in vehicle management, high maintenance cost and the like caused by real vehicle testing are solved, and an efficient and low-cost debugging process is realized through remote communication, cloud resource management and multi-equipment cooperation.

The application provides a cloud resource management method, device, equipment and storage medium. The method comprises the following steps: receiving a cloud resource management task, determining a required cloud resource pool based on the cloud resource management task, newly creating a target cloud area to synchronize data of the cloud resource pool; the cloud resource management task is used to indicate a management requirement and a management scenario; calling a corresponding management process and a management time from a SOP document based on the management requirement, and newly adding a target special area based on the management scenario; the management process is a standardized execution process defined in advance for implementing the management work; obtaining cloud resource management information from the target cloud area based on the management requirement, standardizing the cloud resource management information according to a predefined format, obtaining target data, and distributing the target data and the management process to the target special area, so as to perform management processing on the target data based on the management process within the management time. The method of the application can improve the management efficiency by standardizing the management process and the management related files.

The invention provides a data management method and device, electronic equipment and a storage medium. According to the method and the device, the user accounts which are respectively distributed for each employee of the enterprise and are used for managing the cloud resources provided for the enterprise by the cloud service provider are aggregated into one logic account; according to the invention, integration of each user account allocated to an enterprise by a cloud service provider and aggregation of cloud resources respectively managed by each user account allocated to the enterprise by the cloud service provider are realized, so that the enterprise can uniformly manage the cloud resources provided by the cloud service provider to the enterprise through one logic account; therefore, the cloud resources provided by the cloud service provider for the enterprise can be managed more directly, more conveniently and more comprehensively, the management efficiency of the cloud resources provided by the cloud service provider for the enterprise is improved, a more convenient, efficient and secure cloud resource management service is provided for the enterprise, and the method has a wide application prospect.

The invention discloses an edge cloud resource management collaborative scheduling method based on artificial intelligence, which relates to the technical field of resource scheduling, and comprises the following steps: obtaining resource states of edge nodes to obtain an edge resource state set; performing task matching according to the edge resource state set to obtain a matching feature set; performing matching score calculation according to the matching feature set to obtain a node matching score table; generating a minimum time delay scheduling path according to the node matching score table to obtain a task scheduling distribution table; performing task scheduling execution time prediction according to the task scheduling distribution table to obtain an execution time feedback set; and performing parameter optimization according to the execution time feedback set to obtain an optimization result. According to the method, the adaptability of scheduling is improved, the multi-target balance of scheduling is improved, scheduling conflicts and node congestion are effectively reduced, and the timeliness of scheduling and the resource utilization efficiency are improved.

The invention discloses a cloud resource management method and device, electronic equipment and a storage medium, and relates to the technical field of financial science and technology and operation and maintenance, and the method comprises the steps: obtaining a predicted use quota according to the maximum resource quota and the allocated quota of each user in response to the detection that remaining cloud resources in a resource pool meet a global capacity reduction rule, obtaining a predicted application quota according to the predicted use quota and the allocated quota; and obtaining a target user whose unallocated quota is greater than the predicted application quota, and sending a capacity reduction suggestion to the target user so as to perform capacity reduction processing on the maximum resource quota according to a feedback result of the target user. According to the technical scheme provided by the embodiment of the invention, the capacity reduction suggestion is actively sent to the user with the idle quota through the triggered global capacity reduction rule, so that the idle quota phenomenon is avoided, and meanwhile, the resource reduction quota is accurately estimated; in addition, the human cost and the time cost of cloud resource management are reduced, and the cloud resource management efficiency is improved.

In some examples, systems and methods for managing cloud resources (e.g., distributed resources) are provided. For example, a method includes: receiving a request to create a data bucket from a client application, the request including a bucket template; generating a cryptographic key for the data bucket; generating the data bucket in a cloud platform based at least in part on the bucket template; associating the cryptographic key to the generated data bucket; generating metadata associated with the generated data bucket; and providing the metadata associated with the generated data bucket to the client application.

A cloud resource management system detects resource misconfiguration for resources in a cloud including cloud policy misconfigurations and resource vulnerabilities. An attack chain analyzer identifies attack chains from misconfigured resources ordered according to stages in an attack framework that models sequential behavior for malicious attacks. The attack chains are detected according to a depth-first search traversal of adjacent resources that have pairwise exposure according to characteristics indicated in the cloud policy misconfigurations and resource vulnerabilities. The attack chain analyzer generates further diagnostics that inform remediation of resource misconfigurations for malicious attack prevention.

The invention discloses a cloud resource management platform, a cloud resource management method, equipment and a storage medium, and relates to the technical field of resource management, the cloud resource management platform comprises a user demand application module used for obtaining a cloud resource application request of a target user; the user demand management module is used for carrying out application limit query and order grading on the cloud resource application request to obtain a request approval type; the user demand approval module is used for performing demand approval on the cloud resource application request according to the request approval type to obtain an application approval result; and the cloud resource delivery management module is used for performing resource scheduling on a target cloud resource according to the application approval result and the cloud resource application request, and creating a cloud resource instance corresponding to the cloud resource application request so as to perform resource delivery management.

Systems and methods for implementing a policy-based framework for O-Cloud Resource Management and Orchestration Services are provided. The method includes: determining, a network function (NF) hosted on a O-Cloud node to be instantiated on another O-Cloud nodes; creating an instantiation policy for the determined NF for the ORMOS; sending the instantiation policy via an R1 interface to the ORMOS; requesting an instantiation implementation of the determined NF via an O2 interface to at least one O-Cloud management service; instantiating a NF on the other O-Cloud nodes according to the implementation request; sending a registration and configuration request for the instantiated NF to NF-related RAN OAM Services; sending a configuration notice for the instantiated NF to the ORMOS; and sending instructions to finalize the instantiation implementation of the determined NF to the at least one O-Cloud management service.

The invention relates to the technical field of wireless communication, and particularly provides a communication control method and device, electronic equipment and a computer program product. The method comprises the following steps: acquiring resource information sent by one or more of radio access network (RAN) equipment, a radio access network cloud resource management function and a core network; and based on the resource information, determining a data opening policy for the RAN device, the data opening policy being at least used for indicating that the predetermined data is transmitted by one or more protocol layers in the RAN device. According to the communication control method disclosed by the invention, each protocol layer in the RAN equipment can be used as a data open point to carry out data transmission, and the data of each protocol layer in the RAN equipment can be controlled to realize high-real-time dynamic open and transmission, so that flexible distribution and circulation of the RAN internal data are realized, and the transmission efficiency is improved.

Methods and apparatus are disclosed, including in one example a method for scheduling resources, associated with a plurality of components of a communication network, for providing a network service to a user equipment (UE). The method comprises receiving a service request for providing the network service, wherein the service request includes one or more service constraints. The method also comprises, for each of the plurality of network components, determining component resources that are needed to fulfill the service request according to the service constraints, sending, to a manager function associated with the particular component, a resource request that includes identification of the determined component resources and information related to the service constraints, and receiving, from the manager function, service information associated with the particular component. The method also includes, based on the service information and a cost function, determining a resource schedule for the plurality of network components that fulfils the service request.

The invention provides a cloud resource charging method, a cloud resource management platform, computing equipment and a medium, and relates to the technical field of cloud computing. The cloud resource charging method provided by the invention comprises the following steps: acquiring original consumption data of resources from a first preset storage area, the original consumption data comprising an identifier of a service and resource information, and the service corresponding to at least one shared tenant; furthermore, a charging strategy of the resource can be determined, and charging data of each shared tenant on the resource in the service can be determined based on the resource information and the charging strategy. By implementing the method, the charging data of each tenant for various cloud resources in different businesses can be obtained, and cross-tenant and cross-business resource charging tracking can be efficiently and conveniently realized.

Various aspects of the present disclosure relate to methods and apparatuses for a cloud resource management and orchestration in an open radio access network (O-RAN) architecture. According to an embodiment of the present disclosure, a service producer includes at least one memory and at least one processor coupled to the at least one memory and configured to cause the service producer to: send, to a function providing service management service (SMS), a request to register one or more cloud resource management and orchestration related services; and receive a response of service registration from the function providing SMS.

Methods and apparatus are disclosed, including in one example a method for scheduling resources, associated with a plurality of components of a communication network, for providing a network service to a user equipment. A service request including one or more service constraints for providing the network service is received. For each of the plurality of network components, component resources that are needed to fulfill the service request according to the service constraints are determined. A resource request that includes identification of the determined component resources and information related to the service constraints is sent to a manger function associated with a particular component. Service information associated with the particular component is received from the manager function. Based on the service information and a cost function, a resource schedule for the plurality of network components that fulfils the service request is determined.

The embodiment of the invention provides a cloud resource management method and device, electronic equipment and a storage medium, and relates to the field of databases, for example, the cloud resource management method and device can be applied to the field of distributed databases. The method comprises the following steps: acquiring current time sequence data corresponding to a current prediction operation of a tenant; determining a target statistical prediction model corresponding to the current prediction operation of the tenant from at least one preset candidate statistical prediction model based on the current time sequence data and a large language model; determining prediction data of the tenant in a current prediction period corresponding to the current prediction operation based on the current time sequence data of the tenant through a target statistical prediction model; based on the prediction data corresponding to the tenant in the current prediction period, determining a prediction resource demand corresponding to the tenant in the current prediction period; and adjusting the cloud resource of the tenant based on the predicted resource demand corresponding to the tenant in the current prediction period. According to the embodiment of the invention, the resource utilization rate is improved and the cost is saved.

The invention discloses a cloud resource management method and system, electronic equipment and a storage medium, and relates to the technical field of resource management, the method comprises the following steps: in response to a cost optimization instruction, identifying a target cloud resource carrying a cost optimization tag from a public cloud environment; a target optimization strategy matched with the resource type of the target cloud resource is searched in a preset resource portrait library, a mapping relation between each resource type and each cost optimization strategy is stored in the resource portrait library, and the mapping relation is determined by the cost attribute, the reconstruction constraint attribute and / or the service constraint attribute of each resource type; according to the target optimization strategy, cost optimization operation is carried out on the target cloud resources, and the cost optimization operation is destruction operation, reservation operation or configuration modification operation. According to the application, the service stability can be guaranteed while the cost is saved in a cloud service scene.

In order to solve the problem in existing low-level I / O peripheral abstraction method for cloud FPGAs that limits flexibility of cloud FPGAs'resource management and tenant usage, this invention introduces an implementation method and system of an FPGA bare metal server, in which the cloud FPGAs are treated as the first-class computing resources in the same manner of the general x86 host. Without customizing and developing new system component, the complexity of managing cloud FPGAs is reduced. Meanwhile, tenants are allowed to directly apply for, deploy and leverage the FPGA bare metal host in a pay-as-you-go manner without applying for additional general computing resources.

The method comprises: obtaining current time series data corresponding to a current prediction operation of a tenant; determining, based on the current time series data and a large language model, a target statistical prediction model corresponding to the current prediction operation of the tenant from at least one preset candidate statistical prediction model; determining, by using the target statistical prediction model and based on the current time series data of the tenant, prediction data of a current prediction period corresponding to the current prediction operation of the tenant; determining, based on the prediction data of the current prediction period corresponding to the tenant, a predicted resource requirement of the tenant in the current prediction period; and adjusting cloud resources of the tenant based on the predicted resource requirement of the tenant in the current prediction period. The method improves resource utilization and saves costs.

The present invention relates to the field of resource management technology, and specifically to a cloud resource management system and method based on an education platform, comprising: sequentially capturing the time interval and the ratio of views between any two adjacent time nodes; constructing a browsing change curve based on the time interval and the ratio of views, and analyzing whether an abnormality occurs in the browsing status of each resource data; obtaining the storage node of each abnormal resource in an abnormal resource set, and forming a node relationship diagram based on the direction and distance of information transmission between each abnormal resource and each resource data; constructing a resource selectivity model based on the time length value and distance length value of the resource data corresponding to each time node in each historical browsing record; extracting the resource selectivity model value of the corresponding user, and matching the response time of each abnormal resource to the corresponding user according to the size of the model value, thereby improving the security performance of the platform and the resource usage performance.

The invention provides a product resource processing method and device based on cloud computing and a storage medium, and is applied to the field of cloud computing. The method comprises the steps of obtaining a product identifier of a cloud product in response to a product recovery request of the cloud product; according to the product identifier, obtaining an aggregation order of the cloud product and a preset retention duration of the cloud product, the aggregation order including a main product and an additional product of the main product; wherein the preset retention duration of the additional product is determined according to the preset retention duration of the main product, and the preset retention duration of the additional product is the same as the preset retention duration of the main product; judging whether the cloud product is recoverable or not based on the preset retention duration and the first target duration of the cloud product; wherein the first target duration is the duration from the deletion time of the aggregation order to the first current time; and if yes, recovering the main product and the additional product based on the aggregation order of the cloud product. According to the method, the technical effect of improving the cloud resource management efficiency is achieved.

The invention discloses a cloud resource management method and device based on a large model knowledge base, equipment and a storage medium, and relates to the technical field of cloud computing, and the method comprises the steps: carrying out the data preprocessing of collected multi-source cloud resource data, and constructing a knowledge graph based on the processed multi-source cloud resource data, so as to obtain a corresponding resource query knowledge base; analyzing a cloud resource management demand sent by a user side by using a preset large model to generate a structured task, and determining a cloud resource management strategy corresponding to the structured task from the resource query knowledge base; and processing the cloud resource management strategy by using a preset script engine to obtain an executable cloud resource management script, and scheduling and executing the executable cloud resource management script in a multi-cloud environment to realize the cloud resource management requirement. Therefore, intelligent management and automatic scheduling of cloud resources can be realized by fusing the large language model and the knowledge base.

A system and method for implementing a policy-based framework for O-Cloud resource management and orchestration services is provided. The method includes determining a network function (NF) hosted on an O-Cloud node to be instantiated on another O-Cloud node, creating an instantiation policy for the determined NF for ORMOS, sending the instantiation policy to ORMOS via an R1 interface, requesting an instantiation implementation of the determined NF from at least one O-Cloud management service via an O2 interface, instantiating the NF on the other O-Cloud node according to the implementation request, sending a registration and configuration request for the instantiated NF to an NF-associated RAN OAM service, sending a configuration notification of the instantiated NF to ORMOS, and sending an instruction to the at least one O-Cloud management service to complete the instantiation implementation of the determined NF.

The application provides a method, device, medium and program product for implementing multi-level cloud resource management, which comprises the following steps: receiving a request of a senior user for requesting a junior user to execute an action through a user request agent; obtaining a trust score of the senior user at the current time through a dynamic trust engine, and determining a policy related to the action; modeling real-time credibility of the senior user when proxying the junior user resources as a Bayesian learning process by the dynamic trust engine; the trust score is subject to Beta distribution; according to a pre-constructed objective function and constraint condition, calculating an activation vector of an optimal policy related to the operation to obtain an optimal solution; when the optimal solution is greater than or equal to a predetermined utility threshold, determining whether the permission range of the senior user contains the operation according to the activation vector, and if yes, calculating a token survival time of the operation b and issuing a corresponding dynamic proxy token. By using the above technical scheme, fine-grained and dynamic multi-level cloud resource management can be realized for the proxy behavior.