45 results about "Service policy" patented technology

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 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 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.

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 provides an SRv6 path selection method based on a knowledge graph. The method comprises the following steps: step S100, constructing a network knowledge graph library and a strategy and SID mapping library; step S200, performing natural semantic analysis on the business strategy input by the user to obtain business indexes; s300, arranging an SID sequence corresponding to the service strategy according to the service index, and if the service strategy input by the user is similar to the historical strategy meeting the condition, querying the strategy and SID mapping library, and outputting an SID sequence corresponding to the similar historical strategy; and if there is no similar historical strategy, mapping the service index into a specific network path weight and a constraint condition, calculating to obtain a physical path conforming to the service index, converting each node or link in the path into a corresponding SRv6 SID, arranging into an SID sequence, and storing the SID sequence and the corresponding strategy in a strategy and SID mapping library.

The invention discloses an AI service strategy updating method and device, a functional entity, a medium and a product, and relates to the technical field of communication, and the method applied to a first functional entity specifically comprises the steps: determining the execution capability information of the first functional entity based on the network state information of the first functional entity, when it is detected that execution capability information does not meet a preset capability index, a first service strategy adopted for executing the first AI task is updated, and the execution capability information is used for representing the capability of the first functional entity for executing the first AI task; and / or, receiving a first policy adjustment request sent by a second functional entity, and updating the first service policy based on the first policy adjustment request, the second functional entity and the first functional entity being functional entities deployed at the same network level; the first service strategy comprises at least one of a connection control strategy, an AI model selection strategy, a radio bearer DBR configuration strategy and a resource configuration strategy of the first functional entity.

The invention relates to the technical field of computers, in particular to a strategy execution method and a business promotion system for potential service objects, and aims to solve the problems of low accuracy and insufficient efficiency during processing of large-scale and high-dimensional data in the prior art. After a prediction request for a target object is received, inherent feature information and time sequence feature information of the target object are collected, the inherent feature information and the time sequence feature information are input into the two-channel deep learning model through the model layer, and the prediction probability and decision feature information that the target object becomes a potential service object are output. And if the prediction probability is greater than or equal to a preset threshold value, inputting the decision feature information into a strategy matching model, outputting a target service strategy, and calling an execution interface to execute the target service strategy so as to trigger a business promotion operation on the target object. According to the scheme, accurate identification of potential service objects and automatic execution of personalized strategies are realized, and decision accuracy and processing efficiency in a large-scale data scene are improved.

The specification discloses an activity strategy generation method and device, a storage medium and an electronic device, wherein the method comprises: obtaining a service activity strategy recommendation description input by a server to a strategy processing large model for a platform service promotion activity; determining a target activity scene and an activity strategy generation intention based on the service activity strategy recommendation description and using the strategy processing large model; 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 that meets a preset strategy flow arrangement standard based on the strategy logic structure; and using the activity strategy canvas configuration data to perform strategy flow rendering in a strategy canvas management engine to obtain target activity strategy data for the platform service promotion activity, so that a high-quality activity strategy can be generated for the platform service promotion activity.

This disclosure provides a service policy configuration method, device, apparatus, and storage medium. The method includes: receiving service request information sent by a terminal; the service request information carrying service configuration parameter information of the terminal; parsing the service request information to obtain the service configuration parameter information of the terminal; generating a service configuration message message conforming to the communication protocol between core network elements based on the service configuration parameter information and authentication configuration parameter information; the authentication configuration parameter information is obtained when authenticating the terminal; configuring an initial service policy according to the service configuration message message, and providing service to the terminal according to the initial service policy. This eliminates the need for manual configuration of the core network system, allowing the core network system to automatically adapt to terminal needs and automatically configure service policies, reducing the likelihood of configuration errors during manual configuration and effectively improving the efficiency of service configuration for the core network system.

The invention relates to a service strategy mining method and device, equipment, a medium and a product. The method comprises the following steps: acquiring a cross-subject relationship network and a preset service target, wherein the cross-subject relationship network is generated by performing data integration on multi-source heterogeneous data corresponding to a plurality of subjects; based on the service target, performing analysis processing on each subject in the cross-subject relation network, and determining at least one touch strategy; and performing strategy mining processing on the at least one touch strategy, and determining a target strategy. By adopting the method, the real-time performance of service strategy mining can be improved.

Providing data management as-a-service, including: presenting one or more available data services to a user; receiving a selection of one or more selected data services; and applying, in dependence upon the one or more selected data services, one or more data services policies to a dataset associated with the user.

The invention relates to the technical field of data processing, and provides a store service strategy generation method and device, equipment and a medium, which can start a pre-deployed multi-modal data acquisition device to acquire multi-modal data of a user in real time when a human body sensing device detects that the user enters a target store, so as to generate a store service strategy. The real-time performance and multi-dimensional coverage of the data are ensured; the multi-modal features are analyzed by using the user state recognition model, and the drunkenness risk reasoning model is used for reasoning to obtain the target drunkenness risk level, so that accurate reasoning can be performed through the multi-modal features, and misjudgment caused by a single data dimension is avoided; the target drunkenness risk level is utilized to perform traversal in the grading response strategy set to obtain the target store service strategy, and the target store service strategy is executed, so that targeted service can be performed after the drunkenness state is automatically identified, and the reasonability, safety and efficiency of store service are improved.

The application relates to the technical field of software-defined wide area network and discloses a multi-link global routing method and system based on dynamic policy linkage, which is applied to an SD-WAN controller and used for solving the technical limitation problem that in a traditional SD-WAN routing method, decision basis is limited to a current state and policy rules are statically fixed. The method generates a predicted value and a confidence evaluation of future performance of a link through a time series prediction model; based on the confidence evaluation, historical, current and future state information is dynamically fused to form a link quality trend value; and the confidence evaluation is used to dynamically modulate the validity degree of a multi-dimensional service policy weight in evaluation; finally, path selection probability distribution is obtained through iterative optimization, and an optimal path is selected according to a service type for forwarding, so that routing decision is upgraded from static rule response to dynamic optimization based on risk perception, and the foresight, intelligence, stability and adaptive robustness of network routing decision in a complex dynamic environment are significantly improved.

Embodiments of the present application provide a method and apparatus for implementing an application service in service function chain pseudo-proxy networking. In the present embodiment, a switch is deployed between an SFF and an SF, the switch and the SF are configured to support multiple VLANs, different VLANs supported by the SF are associated with a corresponding virtual system Vsys on the SF, and a corresponding application service policy is configured for the virtual system Vsys; a packet sent by the SFF to the SF by means of the switch carries a VLAN identifier; the SF, on the basis of the VLAN identifier carried in the packet, determines a virtual system Vsys associated with a VLAN corresponding to the VLAN identifier, and executes corresponding service processing on the packet according to an application service policy corresponding to the virtual system Vsys. Thus, by means of multiple VLANs and a virtual system Vsys being combined on an SF, different application services can be provided on the same SF, reducing networking costs, and also increasing the resource utilization of the SF.

Methods, apparatuses, and computer readable media for quality-of-service policies in wireless local area networks. Apparatuses of a station (STA) are disclosed, where the apparatuses comprise processing circuitry configured to encode for transmission to an access point (AP) a quality of service (QoS) query frame and decode a QoS request frame from the AP, the QoS request frame indicating a plurality of QoS policies offered by the AP. The processing circuitry may be further configured to encode for transmission to the AP a QoS response frame, the QoS response frame indicating a status of a QoS policy of the plurality of QoS policies. Apparatuses of the AP are disclosed to encode QoS request frames and decode QoS response frames. The AP and STAs implement the negotiated QoS policies by using a QoS WLAN priority based on frames including packets being sent and received from specific addresses.

The embodiment of the invention provides a telephone traffic request processing method and device, equipment, a medium and a product, and relates to the technical field of communication. The telephone traffic request processing method comprises the steps that the current telephone traffic load of a telephone traffic system is acquired, the current shunting proportion between a control group and an experimental group is determined based on the current telephone traffic load, and the higher the current telephone traffic load is, the higher the shunting proportion of the control group in the current shunting proportion is, and the lower the shunting proportion of the experimental group is; based on the current shunting proportion, shunting the current telephone traffic request of the test user to the control group or the experimental group; processing the telephone traffic request in the control group based on the current control group service strategy, and processing the telephone traffic request in the experimental group based on the current experimental group service strategy; and based on the processing effect data of the control group and the processing effect data of the experimental group, determining whether to determine the current experimental group business strategy as a promotion strategy.

Disclosed is a network device (1) for packet switching in accordance with a bounded end-to-end delay. The network device comprises a plurality (11) of n first-in first-out, FIFO, queues, being servable in accordance with a round-robin based service policy and a fixed packet processing time (T). A respective queue of the plurality is associated with a bounded delay (Dmax) depending on the service policy of the plurality of queues and being a function of an adaptable buffer capacity (Be) of the respective queue. The network device further comprises a processor (12), being configured to determine a threshold crossing of an extent of reservation of the buffer capacity of the respective queue; and to adapt the buffer capacity of the respective queue in accordance with the determined threshold crossing. This enables network devices of a network to trade off QoS and capacity locally in a distributed manner, without a centralized controller.

The invention discloses a control method and device of a network management system and a storage medium, and belongs to the technical field of data processing. The method comprises the steps of obtaining running state data of at least one port in the switch at the current moment, performing rule analysis on the running state data based on a rule analysis model, identifying data features of the running state data, determining service risk features corresponding to the data features, obtaining service flow information of the switch through deep data packet detection, and sending the service flow information to the switch. Through the strategy decision model, the corresponding quality service strategy is determined according to the business risk characteristics and the business flow information, and the quality service strategy is issued to the switch, so that the switch executes the quality service strategy, and the rationality of network resource allocation and the service quality guarantee capability of the key business are improved.

The invention relates to the technical field of artificial intelligence, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a product service strategy analysis method, device, equipment and medium, and the method comprises the steps: recognizing a business stage corresponding to a target user according to an interaction record, and determining a service stage threshold value of the target user; identifying an interaction intention of the target user according to the multi-modal interaction features; identifying context data corresponding to the multi-modal interaction features, and analyzing an intention perception weight of the target user according to the interaction intention and the context data; performing parameter optimization on the local model, and adjusting service strategy parameters in the optimized local model according to the intention perception weight; and analyzing a product promotion index of the target user by using a local model corresponding to the adjusted service strategy parameter, generating a product decision instruction according to the service stage threshold and the product promotion index, and determining a service strategy of the target product according to the product decision instruction. And the accuracy of product service strategy analysis is improved.

A method and apparatus for using a proximity discovery identification, and a storage medium, which assign the proximity discovery identification for a UE and how to use the proximity discovery identification under a 5G network architecture. The use method includes receiving a proximity service policy provision request message from a user terminal UE, and the proximity service policy provision request message is used for requesting to provide, for the UE, parameters required for performing proximity discovery; and providing a proximity discovery parameter to the UE according to the proximity service policy provision request message. The proximity discovery parameter includes the proximity discovery identification of the UE.

In certain aspects of the present disclosure, a computer-implemented method includes receiving a configuration profile from a risk assessment service, wherein the risk assessment service generated the configuration profile to comprise service policies associated with DNS traffic and an HTTPS URL. The method includes modifying the HTTPS URL of the configuration profile to include an UDID associated with a target device. The method includes transmitting, to the target device, the configuration profile comprising the HTTPS URL with the UDID associated with the target device, wherein the risk assessment service, responsive to the target device receiving the configuration profile, generates a device object based on the configuration profile comprising the HTTPS URL with the UDID. The method includes identifying, based on the UDID, meta data associated with the target device for returning a DNS response to a DNS request from the target device. Systems and machine-readable media are also provided.

Adaptive ambient services are provided. In some embodiments, an adaptive ambient service includes providing an ambient service profile. In some embodiments, an ambient service includes implementing an ambient service profile for assisting control of the communications device use of an ambient service on a wireless network, in which the ambient service profile includes a plurality of service policy settings, and in which the ambient service profile is associated with an ambient service plan that provides for initial access to the ambient service with limited service capabilities prior to activation of a new service plan; monitoring use of the ambient service based on the ambient service profile; and adapting the ambient service profile based on the monitored use of the ambient service.

The present application relates to the technical field of edge computing, and in particular to an edge network storage and computing integrated data transmission path optimization method and a heterogeneous fusion architecture. The method comprises the following steps: a central processing unit preconfigures a service policy matrix; a collection and scheduling module performs the following steps: collecting data packets and obtaining the network protocol stack five-tuple of each data packet through real-time analysis; matching the obtained five-tuple with the preconfigured service policy matrix to obtain a plurality of service purposes corresponding to each data packet; differentiating the data packets based on different service purposes of the data packets and making a routing decision; and parallelly transporting the differentiated data packets to different target peripherals according to the routing decision. Thus, the limitation of one-way data flow of DPU / smart network card is overcome, end-to-end transmission in storage and computing integrated application scenarios is realized, data transmission delay and CPU load are significantly reduced, and the system energy efficiency ratio is improved.

The invention relates to a cooperative communication method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of performing prediction based on text data corresponding to a language instruction and an intention prediction model to obtain user intention data; performing task decomposition based on the user intention data to obtain an initial service strategy of at least one service agent; and based on the initial service strategy, generating a calling request of each service agent, and sending the calling request to each service agent, so that each service agent performs processing based on the real-time state data to obtain a calling result. By adopting the method, the intention recognition model based on the large language model is adopted to realize accurate recognition of the user intention, and the service scheduling strategy is issued to each read service agent through the end-side agent, so that each service agent can generate an efficient service strategy based on the accurately recognized user intention and the real-time state; and the communication quality and the communication efficiency are further improved.

A method and an apparatus for updating an artificial intelligence (AI) service policy are provided. The method is performed by an application function (AF) network element, and includes: sending an AI service policy update request to a network exposure function (NEF) network element, in which the AI service policy update request comprises an identifier of the AF network element, and updated policy information; and receiving a policy update response returned by the NEF network element.

The invention particularly relates to an end-side multi-mode fusion analysis and active service interaction method and system. The end-side multi-modal fusion analysis and active service interaction method comprises the following steps: acquiring video image data, audio data and text data, and preprocessing; respectively extracting feature vectors of different modal data, and obtaining a fusion feature vector by adopting a fusion algorithm based on deep learning; inputting the fused feature vector into the trained intention recognition model, and understanding the user intention according to the fused feature vector; and selecting a corresponding service from a service resource library according to the intention information and a preset service strategy of the system. According to the end-side multi-modal fusion analysis and active service interaction method and system, deep fusion and efficient analysis of multi-modal information are achieved, the false alarm rate and the missing report rate are greatly reduced, the accuracy and efficiency of information processing are improved, a solid data basis is provided for active service interaction, and the user satisfaction degree is greatly improved.

The invention relates to the technical field of resource scheduling, and provides a VPN resource dynamic scheduling method and device based on a service strategy. The method comprises the following steps: establishing a logic sub-interface of a service server on a service switch, and determining a unique identifier of the sub-interface; allocating a unique NAI-IP address for terminal access, and establishing a mapping relationship among a real source MAC address of the terminal, the unique NAI-IP address and the unique identifier of the sub-interface; the access switch receives an original message from the terminal, and converts the original message into a standardized message by using the mapping relation; and sending the standardized message to the service switch so as to forward the standardized message to the service server. According to the invention, the problems that the campus network user cannot be accurately traced and positioned and the practicability is poor in a dual-network and dual-speed scene in the prior art are solved.

This invention discloses an AI-based method and system for grassroots governance and intelligent community services. The method includes: acquiring multimodal interaction data of community users and community resource status data; identifying and extracting semantic fragments from the multimodal interaction data to obtain semantic understanding results of user service needs; performing semantic similarity matching and conflict detection on each semantic fragment with policy entity nodes in a grassroots governance knowledge graph to identify associations and conflicts and obtain structured demand graph fragments; generating a preliminary service strategy set based on the fragments through forward traversal along the inheritance and reference relationships of policy entities, and then performing reverse traversal along the association relationships between responsible entities and resource nodes to complete resource constraint verification; combining resource status data to rearrange candidate strategies, resolve conflicts, and select the optimal strategy; and finally generating and outputting structured service description content for community users. This invention can provide community users with effective community service strategies that balance policy compliance and implementation feasibility.

This invention discloses a quality of service (QoS) assurance system and method. The IoT terminal identifies the type of service it is running and receives configuration instructions, configuring service source ports for different service flows according to the configuration instructions. The terminal management platform controls the IoT terminal and obtains its terminal information to generate service flow information. The terminal management platform also generates configuration instructions based on the service flow information and sends these instructions to the IoT terminal. The enhanced AF layer obtains the service flow information from the terminal management platform and constructs enhancement requests based on the service flow information. The 5G core network layer obtains the enhancement requests and generates and executes service policies based on the enhancement requests. This invention can provide differentiated services and ensure the QoS of various service flows.

The application relates to a network management method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: in response to received service description information, extracting service requirement information in the service description information according to a pre-constructed service intention model; processing the service requirement information and network resource information through a first strategy function to generate a service service strategy; processing the service service strategy and network node state information based on a second strategy function to obtain an execution strategy of each network node; and the execution strategy of each network node is used for realizing network service management. The method realizes flexibility and expansibility of the network.