12 results about "Data virtualization" patented technology

A method and device for checking resource pool equipment, the method comprising: based on the interaction protocol of the query interface of each measured device in the resource pool, capturing the interface data of all measured devices in the resource pool; using the interface data, virtualizing the query interface virtual service of each measured device in the resource pool; using the query interface virtual service, providing the query data of each measured device of the resource pool. The method and device for checking resource pool equipment provided by the embodiment of the present application can reduce the dependence of equipment checking on physical equipment and physical links, and reduce the checking time consumed by the response speed of physical equipment and the transmission time consumption of links. In addition, the present application also supports the tracing and checking of past historical data by performing persistent version control on the captured data.

This invention relates to the field of computer data processing and data visualization technology, specifically a personalized report configuration platform system, comprising: a data virtualization module: establishing physical data source mapping and constructing atomic data pools; an indicator graph construction module: generating atomic indicator dependency graphs, storing logical operation relationships rather than calculation results; a context-aware module: capturing environmental parameters such as tenant roles and time windows; a dynamic compilation engine: injecting environmental parameters into the graph and instantiating and parsing logical nodes to generate structured query instructions; and a rendering and compositing module: executing instructions to obtain result data and mapping it to view components. This invention achieves dynamic instantiation of logic defined once in multiple places, avoiding hard-coding development and improving the maintainability and response speed of the system.

A computer-implemented method for optimizing query execution in a data virtualization system is provided. A processor set receives a query using the data virtualization system. The processor set determines capabilities for the data source to identify a portion of functions and a portion of query operations from the query to be delegated for remote execution on the data source. The processor set splits functions and query operations in the query for remote execution and local execution based on the portion of functions and the portion of query operations from the query. The processor set receives results from the data source from remote execution of the query using the data virtualization system. The processor set merges the results from the data source with second result from local execution of the query on the data virtualization system to generate a merged result. The processor set returns the merged result to the application.

Systems, devices, and techniques are disclosed for a synchronous virtual classrooms using artificial intelligence techniques. Meeting data from a virtual meeting client connected to a virtual meeting through a virtual meeting server may be received at a virtual AI avatar. The virtual AI avatar may send the meeting data to an AI agent. Avatar action data generated by the AI agent based on a portion of the meeting data may be received at the virtual AI avatar, from the AI agent. Virtual AI avatar data may be generated based on the avatar action data. The virtual AI avatar data may include generated video data, generated audio data, text data, or data causing interactions with a virtual meeting client interface of the virtual meeting client. The virtual AI avatar data may be sent to the virtual meeting client.

The application provides a data pushing method and device, electronic equipment and a storage medium, the method comprising: sending a connection request to a server; obtaining window information of a current physical window of a client, calculating a first data pushing range of the current physical window based on the window information; and based on the first data pushing range, pulling a pushed data segment of the current physical window in a data virtualization view and updating. According to the first data pushing range, the pushed data segment matching the window size is pulled in the data virtualization view and updated, so that data is not repeatedly pulled, resource waste is reduced, resource utilization is improved, meanwhile, the pushed data segment is pulled in a micro-batch manner through the first data pushing range, the amount of data transmitted in the network is reduced, the time delay of data to the client is reduced, the data pushing efficiency is improved, meanwhile, the data virtualization view is created by the server to process the data visualization logic, and the data processing efficiency is improved.

A computer-implemented method for optimizing query performance in a data virtualization system. A processor set generates a number of query collections comprising query statements. The processor set determines network transfer times for data between the data virtualization system and a number of data sources connected with the data virtualization system, and an execution time for executing each query collection. The processor set identifies a number of factors associated with query performance for the data virtualization system. The processor set trains a machine learning model for estimating execution times for the queries based on the number of factors, the network transfer times, and the execution times. The processor set evaluates network conditions and performances of the number of data sources using the machine learning model. The processor set adjusts delegation of the queries to be executed remotely using the number of data sources based on the evaluation.

An object of a system according to an embodiment is to reduce anxiety of a care receiver and to reduce a burden on a caregiver.SOLUTION: In general, according to one embodiment, a system includes a camera, generated AI, an avatar, and conversation information. The camera grasps the state of the care-receiver by using the camera. The generating AI analyzes the date acquired by the camera. The avatar talks based on the AI analyzed by the generator. The conversation data repeats the conversation between the caregiver and the person to be cared for.SELECTED DRAWING: Figure 1

The invention relates to a cloud host fault simulation method and device based on digital twinning, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring physical resource state data and virtualized resource state data of a target cloud host to obtain a monitoring data stream, and constructing a digital twin model according to the monitoring data stream; calling a fault scene model, and processing the physical fault data, the virtualization layer fault data and the application layer fault data according to the state information of the digital twin model to obtain a corresponding fault combination sequence; and performing fault simulation on the digital twin model according to the fault combination sequence to obtain fault simulation result data. By adopting the method, the fault simulation flexibility is improved.

Systems, methods, and non-transient machine-interpretable data representing executable instruction sets and / or other products for the processing of data for the secure creation, administration, manipulation, processing, and storage of electronic data useful in the processing of payment transactions and other secure data processes. In various aspects and embodiments the disclosure provides secure means for the authorization of sensitive and other data processes subject to controlled access. Such processes include, for example the creation, administration, authorization, virtualization, storage, and other manipulation or processing of electronic data representing characteristics of, instructions for, and information associated with consumer, business, and other payment accounts, and other forms of secure payment elements, such as payment tokens; and data useful in processing transactions using such accounts and elements.

A method and system for on-demand data integration of a plurality of data sources in a data virtualization platform. The data virtualization platform comprises a plurality of semantic layers including a base layer, integration layer, and a consumption layer. The system configures the data sources to comply with data quality rules and establishes a connection between the data sources and the base layer. Once the data sources are connected to the base layer, the integration layer maps the data objects to the consumption layer for client consumption.

Methods and systems for data virtualization are described. A computing system may transmit, by a client device and to a data virtualization server, a data virtualization query directed to a data source. The computing platform may receive, by the client device and from the data virtualization server, driver provision information comprising data source connection information for the data source and a native version of the data virtualization query. The computing platform may provision, at the client device and using the driver provision information, a native data source driver corresponding to the data source. The client device may transmit, to the data source and using the provisioned native source driver, the native version of the data virtualization query. The client device may receive, from the data source, data source results, and may display the data source results.

The application discloses a satellite internet intelligent operation and maintenance control method and system based on ontology modeling and MBSE modeling fusion, belongs to the technical field of intelligent operation and maintenance and control of a satellite internet system, and comprises the following steps: constructing a unified fusion model of the satellite internet system; through data virtualization and a real-time processing engine, accessing and processing real-time running state data of the satellite internet system, and dynamically associating the data with the fusion model; and through a bidirectional mapping and synchronization engine as an indispensable component, bidirectional interoperation of an MBSE engineering model and an ontology knowledge model is realized in the field of the satellite internet; system architecture knowledge in the design stage can be automatically transmitted to the operation and maintenance stage, supporting reasoning and decision-making of an intelligent agent; and fault cases, disposal experience and performance data accumulated in the operation and maintenance stage can be used to guide the optimization design of subsequent models, so that the cross-stage knowledge reuse efficiency is improved, and the design change response time is shortened.