157 results about "Service policy" patented technology

Various embodiments are disclosed for a services policy communication system and method. In some embodiments, a communications device stores a set of device credentials for activating the communications device for a service on a network; and sends an access request to the network, the access request including the set of device credentials.

The embodiment of the invention discloses a charging cost analysis method and system for a liquid cooling over-charging terminal, and belongs to the technical field of data analysis. According to the method, through multi-dimensional data acquisition and deep behavior analysis, accurate description of user charging behavior characteristics can be realized, the accuracy of charging demand prediction and resource scheduling is effectively improved, and the user behavior characteristics are converted into quantifiable parameters, so that the user experience is improved. According to the invention, the formulation of differentiated service strategies can be realized to enhance the personalized adaptation capability of the charging service. Besides, the generation and execution mechanism of the cross-terminal dynamic scheduling strategy can optimize the distribution efficiency of the power resources in the space-time dimension and relieve the local overload problem in the peak period, and the cooperative adjustment function of the real-time power supply parameters and the cost calculation logic can guarantee the charging efficiency and balance the operation stability of the power grid at the same time. In conclusion, the method can significantly improve the resource utilization efficiency of the charging facility.

The invention relates to a vehicle maintenance service method and device, computer equipment and a readable storage medium. The method comprises the steps that operation state information of a target vehicle and resource service information of at least one candidate service station are acquired, and the candidate service station is a service station on a driving route of the target vehicle; obtaining a target maintenance strategy of the target vehicle according to the running state information, the resource service information and a pre-constructed service strategy evaluation model; judging whether the target maintenance strategy meets a preset condition or not, and obtaining a judgment result; and when the judgment result is that the target maintenance strategy meets the preset condition, pushing maintenance prompt information to the target vehicle according to the target maintenance strategy, and when a maintenance instruction fed back by the target vehicle is received, reserving a maintenance service to a target service station in the at least one candidate service station according to the target maintenance strategy. By adopting the method, the maintenance service can be actively provided for the user.

A service-level communication and computing collaborative resource allocation device and method for a large-scale satellite network are provided, the device includes: a network information management function module including a service request collection unit configured to collect service requests arriving at each satellite node in the network, and a network resource collection unit configured to collect available resource status information for each satellite node; a service preprocessing function module configured to preprocess service requests; a service feature extraction function module configured to perform feature extraction for preprocessed service requests to generate service demand features; a service order decision submodule configured to determine a service order of service requests; a service strategy decision submodule configured to output a service strategy of the service request. The device and method can effectively ensure that the large-scale satellite network provides high-performance services for service with service demands of communication and computing collaborative resources.

The invention discloses an activity strategy generation method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a service activity strategy recommendation description inputted to a strategy processing large model by a server for a platform service promotion activity, determining a target activity scene and an activity strategy generation intention by adopting the strategy processing large model based on the service activity strategy recommendation description, and calling a service strategy knowledge base to generate an activity strategy logic structure based on the target activity scene and the activity strategy generation intention, generating activity strategy canvas configuration data conforming to a preset strategy process arrangement standard based on the strategy logic structure, and performing strategy process rendering in a strategy canvas management engine by adopting the activity strategy canvas configuration data to obtain target activity strategy data for the platform service promotion activity, and a high-quality activity strategy can be generated for the platform service promotion activity.

A system can receive an untrusted onboard announcement message from a remote computer. The system can, based on the untrusted onboard announcement message, initiate an onboarding service policy to verify a device location claims policy associated with the remote computer. The system can receive an indication of a remote access controller hardware component of the remote computer, wherein the indication is of verifying a network port authentication policy applicable to determine whether a port-based network access control protocol certificate hostname that is associated with the remote computer matches an entity attestation token attribute extensible authentication protocol-transport layer platform certificate hostname of the remote access controller hardware component to determine a network authentication status. The system can determine whether device onboard location is successful based on a device location verification policy status and the indication.

The invention provides an intelligent customer service system, which comprises an information acquisition module used for identifying a customer identity according to a user login account and obtaining historical data under the account; the grading module is used for establishing a customer portrait model according to the historical data and classifying customer types; the matching module is used for automatically matching a service strategy model version corresponding to the account according to the customer type obtained by the grading module; the knowledge graph response module is used for carrying out deep analysis on client input contents based on the natural language understanding capability of a large language model in combination with a context, a client portrait and historical data after the version of the service strategy model is determined, automatically generating a task list and a semantic tag tree for a dialogue, and continuously optimizing the task list and the semantic tag tree; starting from a problem node of the task list, analyzing a corresponding semantic tag along an optimized and trained path in the knowledge graph, and matching a service processing action; and triggering a back-end system interface associated with the node according to needs, transferring real data, and solving client problems.

A disclosed method may include (i) implementing, within a cloud computing platform, a hierarchical quality-of-service policy that includes a parent quality-of-service sub-policy in relation to a child quality-of-service sub-policy, (ii) receiving telecommunication traffic as part of a cellular service platform implemented through the cloud computing platform, and (iii) applying, within the cloud computing platform, the hierarchical quality-of-service policy to the telecommunication traffic to satisfy a predetermined level of quality of service.

A flow tagging technique includes tagging a data flow at a plurality of points in the data flow. For example, the data flow can be tagged at a socket and at a proxy manager API. By tagging the data flow at multiple points, it becomes possible to map network service usage activities to the appropriate initiating applications.

A container mirror image generation system based on an agency-free service grid framework comprises a multi-dimensional rule configuration module, a full-link gray level isolation module, a micro-service strategy injection module, a byte enhancement module and a link unvarnished transmission implementation module. The advantages of a software toolkit (core tools and libraries required for developing, compiling, debugging and running application programs) and a service grid are combined, and non-invasive treatment logic injection, flexible expansibility and efficient performance optimization are provided. The service management in the micro-service architecture is simplified, the observability and safety of the system are improved, and the method has important significance for the modern micro-service environment.

Device assisted services (DAS) install techniques are provided in accordance with some embodiments. In some embodiments, DAS install techniques for providing service processors for mobile devices are provided. In some embodiments, DAS install techniques for downloading / installing new and / or updated service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing verified service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing secured service processors for mobile devices are provided. In some embodiments, DAS install techniques include determining if a communications device in communication with a wireless network includes a service processor for assisting control of the communications device use of a service on the wireless network, in which the service processor includes a service profile that includes a plurality of service policy settings, and in which the service profile is associated with a service plan that provides for access to the service; and verifying the service processor. In some embodiments, DAS install techniques include providing a generic first version service processor for downloading and installing a second version service processor.

A communication device that performs packet communication includes a data storage unit that holds a rule of a value-added service policy, a transmission unit that inquires to a translation device that performs address translation about translation information including information before the address translation, a reception unit that receives the translation information from the translation device, and a control unit that determines whether to apply the rule to a packet after the address translation received from the translation device by using the translation information.

The invention discloses a service strategy determination method and device and electronic equipment, and relates to the artificial intelligence technology, and the method comprises the steps: obtaining the credit information of a target user, the credit information at least comprises personal basic information, credit transaction information, financial institution interaction information and credit score information; respectively inputting the personal basic information, the credit transaction information, the financial institution interaction information and the credit scoring information into at least two evaluation models, and obtaining evaluation results respectively output by each evaluation model; and determining a target service strategy of the target user according to the at least two evaluation results. According to the method and the device, the loss condition of the user can be determined through the at least two evaluation results, so that the user retention rate can be improved by implementing the corresponding service strategy, and the beneficial effects of providing personalized services for different users, improving the user experience and reducing the user loss rate are achieved.

The invention relates to the technical field of government affair services, in particular to a government affair service policy effect intelligent evaluation system based on multi-source data fusion. The system comprises a data acquisition module, a data fusion module, an evaluation model module and a result output module. The data acquisition module acquires policy-related data from a plurality of heterogeneous data sources; the data fusion module performs cleaning, normalization and semantic fusion processing on the multi-source data; the evaluation model module analyzes fusion data by using an intelligent evaluation model based on a causal inference framework, and quantitatively evaluates multiple dimensions of a policy effect; and the result output module generates a structured evaluation report. According to the method, the causal relationship between policy intervention and effects is accurately identified through a causal inference technology, multi-source data semantic fusion is realized by adopting the knowledge graph, the method has dynamic assessment and feedback calibration capabilities, and the accuracy and practicability of policy effect assessment are effectively improved.

Methods and systems are provided for service policy orchestration in a communication network. An orchestration of a distributed event policy may be initiated at a service policy execution factory (SPEF). The initiating may include selecting a service event object with an associated unique service instance identifier and an associated unique service event identifier; defining service requirements that may include or relate to one or more of type of an event, a criticality, a lifetime, and generic service execution rule(s); including the service requirements in the service event object; and sending the service event object and the unique service instance ID to a service policy orchestration factory (SPOF) for performing one or more actions relating to the orchestration of the distributed event policy. In response to receiving an SPOF feedback message that indicates a successful updating of the event repository, the orchestration of the distributed event policy may be terminated.

A flow tagging technique includes tagging a data flow at a plurality of points in the data flow. For example, the data flow can be tagged at a socket and at a proxy manager API. By tagging the data flow at multiple points, it becomes possible to map network service usage activities to the appropriate initiating applications.

The invention discloses an innovation service policy intelligent matching decision-making system and method based on big data, and belongs to the technical field of policy matching services, and the system comprises an information collection module, a policy matching module and a matching analysis module. The information collection module is used for collecting policy information and enterprise information and establishing a corresponding policy information base and an enterprise information base; the policy matching module is used for performing policy matching, identifying policy information in the policy information base and enterprise information in the enterprise information base in real time, and obtaining policy labels and enterprise feature labels corresponding to the policy information and the enterprise information; combining the policy labels and the enterprise feature labels in pairs to obtain matching evaluation combinations; evaluating each matching evaluation combination, and determining a matching enterprise corresponding to each policy information; setting a corresponding enterprise matching list according to each matching enterprise corresponding to the policy information; and the matching analysis module is used for performing decision analysis on the enterprise matching list corresponding to the policy information.

Methods and systems for managing services (e.g., the development, deployment, and configuration of services) are disclosed. User intent associated with policy related configurations for computer implemented services are directly and automatically translated into a set of user intended network policy and rules to be applied (e.g., enforced) by the computer implemented services without any need for the user to understand how the policies will be configured and implemented by the service deployment environment.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a service strategy generation and optimization method, device, equipment and medium, and the method comprises the steps: collecting multi-source interaction data to generate a multi-dimensional dynamic portrait, and obtaining an initial service strategy based on preset strategy set matching, and generating a to-be-executed service strategy in combination with an action combination output by the value network, constructing abnormal scene test data by using the generative adversarial network to complete verification and adjustment, obtaining a final service strategy, recording portrait change data and service indexes by executing the final service strategy, and feeding back the portrait change data and the service indexes to the value network and the portrait construction model. Through data-driven dynamic portrait modeling and strategy closed-loop optimization, the defects that in the prior art, a static rule is relied on, and different requirements of clients are difficult to adapt are overcome, dynamic evolution of the client service strategy is achieved, the real-time performance of the service and the resource configuration efficiency are improved, and the client experience is remarkably improved.

The invention discloses a discrete manufacturing full-life-cycle intelligent computing system and method, the system comprises a data knowledge layer, a computing adaptation layer and a parallel service layer, a virtual matching mechanism is used between the data knowledge layer and the computing adaptation layer, that is, primary mapping is formed according to task demand description and manufacturing resource description in a twin world, an optimal algorithm is called for a specific task, the most reasonable resources are adapted, an optimal service strategy is obtained, and a mapping process from a service demand to the service strategy is realized; a virtual-real parallel computing mechanism is used between a computing adaptation layer and a parallel service layer, that is, a mutual linkage relation is established in a physical world according to a service execution strategy obtained in a twin world, so that the requirement of discrete manufacturing full-life-cycle intelligent service is met, and the mapping process from a service strategy to service execution is achieved. And through two times of mapping, autonomous computing adaptation of task-knowledge-algorithm-resource in the whole life cycle of discrete manufacturing is realized.

The present disclosure relates to a 5th (5G) generation or pre-5G communication system for supporting a higher data transmission rate beyond a 4th (4G) generation communication system such as long term evolution (LTE). The present disclosure is to process policy and parameter information for providing a service in a wireless communication system, and an operating method of a base station may include obtaining mapping information of service quality related to direct communication between a first system and a second system, and switching between the quality of service of the first system and the quality of service of the second system using the mapping information.

A data processing method includes: obtaining a service surface activity feature of an object in a service, and inputting the service surface activity feature to a deep mining and analysis model, the deep mining and analysis model being configured to deeply mine one or more factor semantic representation features for a surface activity feature based on a configuration affecting factor system of the service; performing deep mining and analysis processing on the service surface activity feature in the deep mining and analysis model based on the configuration affecting factor system, to obtain a factor semantic representation feature of the service surface activity feature for each configuration affecting factor; and outputting a service policy of the object for the service and policy interpretation information for the service policy based on the factor semantic representation feature of the service surface activity feature for each configuration affecting factor.

Network service provisioning is described. Network service provisioning to a device includes a mechanism for ensuring that network services are available based upon one or more of appropriate traffic control, billing, and notification policies. Ensuring that the policies are properly enforced on a device is a focus of this paper. The enforcement policies can be on the device or in the network.

Techniques are provided for dynamically implementing quality of service policies for a distributed storage system based upon resources saturation. A quality of service policy is defined for throttling I / O operations received by a node of the distributed storage system based upon whether resources of the node have become saturated. The quality of service policy is dynamically implemented based upon ever changing resource utilization and saturation. Dynamically implementing the quality of service policy improves the ability to efficiently utilize resources of the node compared to conventional static polices that cannot adequately react to such changing considerations and resource utilization / saturation. With conventional static policies, an administrator manually defines a minimum amount of guaranteed resources and / or a maximum resource usage cap that could be set to values that result in inefficient operation and resource starvation. Dynamically implementing the quality of service policy results in more efficient operation and mitigates resource starvation.

Techniques are provided for dynamically implementing quality of service policies using a configurable quality of service provider pipeline. A quality of service policy is defined for throttling I / O operations received by a node based upon whether resources of the node have become over utilized. The quality of service policy is used to dynamically construct a quality of service provider pipeline with select quality of service providers that improve the ability to efficiently utilize resources compared to conventional static polices that cannot adequately react to changing considerations and resource utilization / saturation. With conventional static policies, an administrator manually defines a minimum amount of guaranteed resources and / or a maximum resource usage cap that could be set to values that result in inefficient operation and resource starvation. Dynamically constructing and utilizing the quality of service provider pipeline results in more efficient operation and mitigates resource starvation.

The embodiment of the invention provides a method and a device for determining a service strategy and a communication system. The method comprises the following steps: a first function network element acquires user information of a first service; determining policy information of the first service according to the user information of the first service; the policy information of the first service comprises execution range information of the first service and service quality information of the first service; and the first function network element sends the policy information of the first service to the second function network element. According to the method, the first function network element determines the strategy information of the service from the service dimension, the service quality of the service can be provided, the execution range of the service can also be provided, and any new service of the communication network service can be supported as well. Therefore, the method can effectively meet and support strategy requirements of various services.

An apparatus for an application function (AF) includes a communication interface and a processor operably coupled to the communication interface. The processor is configured to receive, via the communication interface, network slice identification and media service identification across slices for a media service. The processor is also configured to manage a service corresponding to the network slice identification to a user equipment (UE). The processor is further configured to receive, via the communication interface, expected media service policy information from the UE. In addition, the processor is configured to identify policy information corresponding to each of the slices, respectively. The processor is also configured to transmit, via the communication interface, the policy information corresponding to each of the slices, respectively.

The invention discloses a network security policy generation method, a network security protection method, devices and equipment, and relates to the technical field of network security, and the network security policy generation method applied to a network data analysis function NWDAF comprises the following steps: receiving a network data report sent by a network monitoring platform; generating a network access policy according to the network data report and network service information of an operator network to which the NWDAF belongs, the network service information including at least one of user subscription information, service policy information and network state information; and sending the network access policy to a policy control function (PCF). According to the embodiment of the invention, the problem that the network service interruption is easily caused by adopting the existing network attack mode under the convergence scene of the industry private network and the public network can be solved.

The invention discloses a government affair large model fine tuning data processing method and device, electronic equipment and a storage medium. The method comprises the steps that S1, QA pairs are extracted from sessions in an artificial customer service session data library and then classified to obtain government affair policy consultation class QA pairs and item search query class QA pairs; s2, according to the dialogue round number and theme number of government affair policy consultation and item search query class QA pairs, questions and answers are combined and assembled to form OA pairs, and the OA pairs are added into a QA pair data table; s3, customizing the standardized government affair service knowledge in a grading manner to form direct QA pairs, and storing the direct QA pairs in a QA pair data table; and S4, performing fine adjustment on the QA pair pair basic large model in the QA pair data table obtained in the two modes to obtain a government affair large model. According to the method, it is ensured that the fine-tuned government affair large model can quickly understand the user questions, accurate and professional answers are given, the service efficiency is remarkably improved, and the performance and competitiveness of the government affair large model are kept.

The invention discloses an innovation service policy intelligent matching method and system based on data analysis, and relates to the technical field of data analysis, the system comprises a control center, the control center is connected with a semantic collection module, an atlas processing module, an intelligent analysis module and a key matching module; demand information data and comprehensive policy data are acquired in a semantic acquisition module, and a policy knowledge base is constructed; updating and replacing the policy knowledge base through an atlas processing module to obtain a collaborative word segmentation knowledge base and carrying out image-text construction to obtain a policy information atlas; performing flow section conversion and information combination on the policy information atlas in the intelligent analysis module to obtain an atlas extraction set; performing form unification on the demand information data in a key matching module, obtaining a demand data code segment, performing code segment matching and matching verification, and obtaining a push policy set; the policy matching efficiency is improved, personalized and accurate policy matching is realized, the accuracy of policy applicability evaluation is enhanced, and the policy implementation effect is improved.