19 results about "Service profile" patented technology

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a first network entity, according to one embodiment of the present disclosure, may comprise the steps of: receiving a service profile associated with requirements for a network slice; on the basis of the service profile, deriving a slice subnet profile associated with requirements for a network slice subnet of a specific domain; and transmitting the slice subnet profile to a second network entity of the specific domain. The service profile may include at least one among: a first attribute indicating whether the network slice is protected by a specific encryption algorithm; a second attribute indicating whether requirements for monitoring the security performance of the network slice are enabled; or a third attribute indicating the trustworthiness of one or more nodes in the network slice.

The application discloses an Internet of Things mass service bill processing system, method and device and a storage medium, and comprises an application software service layer, a platform environment service layer and an infrastructure service layer.The application software service layer is used for collecting first service bills, and performing format analysis, deduplication, merging and distribution processing on the first service bills to obtain first bill files and first bill messages, and then uploading the first bill files and the first bill messages.The platform environment service layer is deployed with a distributed file system, a distributed coordination service, a data database and a streaming processing framework, is used for receiving the first bill files and the first bill messages, and performing full-amount synchronization on the data database according to the first bill files and incremental synchronization on the data database according to the first bill messages.The infrastructure service layer comprises a bottom cloud host, and is used for providing a computing resource pool, a storage resource pool and a network resource pool.The application improves the processing efficiency of service bills, optimizes the use perception of users, and can be widely applied to the technical field of data processing.

The invention provides a computing network collaborative differentiated resource guarantee system based on a service type, and the system comprises a service type recognition module which is configured to perform service type recognition according to at least one service request, and obtain a target service type and / or a normalized service portrait corresponding to the service request; the differentiated resource strategy generation module is configured to generate a target unified strategy according to the target service type and / or the normalized service portrait, and the target unified strategy comprises computing power resource parameters and network resource parameters corresponding to the service request; and the computing network joint admission module is configured to judge whether the service request is admitted to a target resource domain or not according to the target unified strategy. Through the system, the problems of low resource management efficiency and lack of uniformity for differentiated services in the prior art are solved.

The invention proposes a novel method for managing service profiles of a secure element, the managing method being implemented by a centralized profile management device and comprising: receiving profile data corresponding to one and the same service from a plurality of processing devices; storing in memory profile data from among the received profile data, associated with said service; detecting an event triggering an update of a service profile of the secure element for said service; and, upon detection of said event, sending the most recent profile datum from among the stored profile data associated with said service to the host terminal.

Device for controlling the execution of a mashup WoT service, the device comprising: a Web of Things mashup service function entity, WoT mashup service function entity, (52) configured to execute a mashup WoT service adapted for a WoT service user (10); a WoT service execution function entity (54) configured to handle the execution of simple WoT services for the execution of the mashup WoT service of the WoT mashup service function entity; and a WoT service repository (56) configured to store WoT service execution descriptions (56a, 56b, 56n), each describing execution logic for each of the simple WoT services; wherein the WoT mashup service functionality entity comprises: a WoT mashup engine (52b) configured to execute the mashup WoT service in accordance with the service instruction read from the relevant WoT service execution description;wherein each of the WoT service execution descriptions includes information about the mashup WoT service, a service instruction designed to execute the mashup WoT service created by combining the two or more simple WoT services, and service profiles representing parameters designed to identify the mashup WoT service customized for the WoT service user.

The invention discloses a method for inputting key information of an important user business file, and belongs to the field of electric power automation. Comprising the following steps: inputting business file key information and synchronizing user general situation information; key fields and data are extracted and input based on an image recognition technology; and information interaction and reverse updating: dynamic consistency of information between the marketing system and the business file system is ensured, bidirectional information circulation and updating between the two systems are realized, and information unification of the power receiving site, the business file and the marketing system is realized. After data which can be used for business analysis and management are generated, data deep cleaning, data standardization and classification are carried out, normalization processing is carried out according to an extreme value method, and an equipment state comprehensive matrix is generated; and identifying the most probable state of the equipment according to a maximum membership degree principle. By means of the OCR recognition capability, an equipment state evaluation model based on a cloud model and gray fixed weight clustering is constructed, the state of important equipment is evaluated, and rectification or maintenance suggestions are given for diagnosed parameter abnormal equipment.

A method for managing service profiles, implemented by a management server of a provider of a plurality of services, the profiles being allocatable to communication terminals accessing a communications network supporting the service, the method including: a) reception of a first message to update the management server, originating from an access manager, comprising at least one update of a first total number of service profiles active on the communications network, b) reception of a second message to update the management server, originating from an authentication server and comprising at least one update of a second total number of service profiles active on the communications network, and c) management of access to the service via at least one comparison between the first total number of service profiles active on the communications network and the second total number of service profiles active on the communications network.

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.

This invention provides a self-management method, apparatus, device, and storage medium for a platform as a service (PAS), comprising: collecting key parameters of the PAS within a target period; performing an upgrade operation on the PAS when the CPU utilization or memory utilization is greater than a predefined alarm threshold; generating a comprehensive score of service profile parameters and an actual score corresponding to each type of service profile parameter within the target period according to preset rules when both CPU utilization and memory utilization are less than the predefined alarm threshold; performing an upgrade operation on the PAS when the comprehensive score is less than a predefined service profile threshold; and performing a downgrade operation on the PAS when the actual score of the throughput indicator is less than a predefined target threshold. This invention improves the performance of the PAS by modifying resource parameter configurations through upgrade or downgrade operations.

The disclosure includes embodiments of personalizing a shared ride in a mobility-on-demand service using a response matrix. A method includes receiving feedback from a first set of users that share a first shared ride, wherein the feedback describes their individual satisfaction with the first shared ride. The method includes updating, by the processor, a response matrix to include the feedback, wherein the response matrix includes digital data describing historical user satisfaction with a plurality of shared rides over time. The method includes matching, by the processor, a second set of users to a second shared ride based on service profile data for the users, vehicle data for vehicles, and the response matrix so that the satisfaction of the second set of users with the second shared ride is improved based on the response matrix.

The present application relates to the technical field of communications, and provides a communication method and apparatus. In the method, an application network element may request a core network element (such as a network exposure network element or a user plane network element) to send quality-of-service profile indication information to the application network element by means of a user plane path. Subsequently, the core network element may, on the basis of the request from the application network element, indicate to the application network element whether the quality-of-service profile indication information can be sent by means of the user plane path. By means of the above method, an application network element and a core network element can negotiate the sending method of quality-of-service profile indication information on the basis of requirements of the application network element, so that a radio access network node can determine the method for sending the indication information to the application network element.

The invention relates to the technical field of edge computing and data distribution transmission, in particular to an information processing board card multi-channel data distribution transmission method based on edge computing. The system comprises a data portrait acquisition module, a queuing theory simulation module, a risk assessment module and a strategy optimization module. The system constructs prediction delay distribution by using a queuing theory simulation function by acquiring a static business portrait, predicting an arrival rate and a channel state; the core of the method is that a timeliness failure probability is calculated by combining prediction delay and a failure benchmark, and a quantitative task decision risk score is constructed; when the risk score exceeds a preset threshold value, the system starts a constraint optimization process, and generates and issues an optimal shunting strategy; according to the invention, through digital twinborn simulation, conversion from passive response to congestion to active prediction of delay distribution and risk decision is realized.

A wireless transmit / receive unit (WTRU) may include a processor. The WTRU may be configured to receive a configuration request from a multi-access edge computing (MEC) application client. The WTRU may be configured to determine a host on which the service instance is running based on one or more of the service URL or the service instance identifier. The WTRU may be configured to send a configuration request to a host for sending to a service instance. The configuration request may include one or more application characteristics and configuration information. The WTRU may be configured to receive a configuration response message indicating a service profile identifier associated with a service instance configured for the application client.

Systems and methods are provided for modifying application performance in view of link conditions. An example method includes predicting respective link rates of at least one link of a plurality of links delivering data to and from a vehicle while the vehicle is moving from an origin point to a destination point. The predictions are based on historical link characteristics. The method further includes generating a link service profile for the vehicle based on the predicted respective link rates and a route of the vehicle. Additionally, the method includes receiving a request from a mobile device for information related to the link service profile and transmitting an indication to the mobile device based on the link service profile, thereby causing a behavior of an application executing at the mobile device to be modified based on the link service profile.

Described are examples for providing end-to-end intent definition of network functions for network slice management. Intents are defined for each level of network constituent including slices, slice subnets, and management functions. A system of intent based network slice management includes a network slice management function (NSMF) configured to receive a service profile from a communication service management function (CSMF) and derive an intent for each desired network slice subnet for a network slice subnet management function (NSSMF). The NSSMF is configured to derive requirements for a plurality of network functions (NFs) and provide an intent defining the requirements of a respective NF to a network function management function (NFMF). The NFMF is configured to receive the intent for the respective NF via an intent-based interface for management of NFs and derive a network resource model (NRM) for the respective NF based on the intent.

Provided are apparatus, method, and device for intent driven and intelligent network service and network slice management. The method may include receiving, by an intelligent fulfillment / intelligent controller framework, at least one of a user intent or service profile originating from an Application Protocol Interface (API) gateway. After receiving the user intent, the intelligent fulfillment / intelligent controller framework may generate, based on at least one of the user intent or the service profile, a network slice instance (NSI) design and a network subnet slice instance (NSSI) design. The method may also include validating, by the intelligent fulfillment / intelligent controller framework, the generated NSI design and the NSSI design. After performing the validation, the intelligent fulfillment / intelligent controller framework may send an NSI allocation request to a network slice management function (NSMF) based on the validated NSI design and the NSSI design.

This invention relates to the field of educational service recommendation technology, specifically disclosing a dynamic matching optimization method and system that integrates user profiles and educational service profiles. The method includes: dynamically updating two types of profiles based on user interaction behavior data and educational service group effect data to reflect the latest user learning stage and service effect type; dynamically selecting appropriate matching rules and calculating the matching degree to generate recommendations based on the current state of both profiles; and synchronously driving the further updating of both types of profiles and optimizing the parameters of the used matching rules using user feedback behavior data. The system includes a profile collaborative update module, a dynamic matching decision module, a recommendation generation module, a feedback collection module, and a closed-loop learning optimization module. This invention overcomes the shortcomings of traditional static recommendation methods by enabling dynamic evolution of profiles, adaptive adjustment of matching strategies according to state, and the introduction of a feedback-driven optimization mechanism, achieving continuous accuracy and personalization in educational service recommendations.

A Network Slice is configured by a Network Slice Provider (NSP) in a telecommunications network, in particular at a telecommunications network management system of the NSP. The NSP receives, as part of a service profile message from a Network Slice Consumer (NSC), an indication of a minimum amount of renewable energy to be used for realisation of the Network Slice. The NSP determines feasibility of the indicated minimum amount of renewable energy to realise the Network Slice, based on information of renewable energy consumption in respect of a plurality of data centres with which the Network Slice can be realised.