5results about How to "Improve data access efficiency" patented technology

The application discloses a data storage management method and device of a multifunctional display support, and the method comprises the following steps: determining current user identity information based on fingerprint image data and determining an operation state label based on pressing pressure time sequence data; determining a target access probability prediction matrix according to the current user identity information and the operation state label; determining a target prefetch data block quantity, a target prefetch depth and a target prefetch data block granularity based on the operation state label, and determining a prefetch data block set in a low-speed storage area according to the target prefetch data block quantity, the target prefetch depth and the target access probability prediction matrix; and loading the prefetch data block set from the low-speed storage area to a special cache partition area in a high-speed storage area which is bound to the current user identity information according to the target prefetch data block granularity. According to the technical scheme, the data access efficiency of the multifunctional display support is improved, the data security protection capability is enhanced, and efficient, stable and safe data storage management is realized.

Embodiments of the present application provide a data access method and device, electronic equipment and storage medium. The data access method is applied to a computer device. An operating system of the computer device includes a user-mode file system, an interceptor, a sandbox and a first cache area. The interceptor, the sandbox and the first cache area are all set in a kernel mode of the operating system. The method comprises the following steps: receiving data access information sent by an application program through the interceptor, and sending the data access information to the sandbox; acquiring target data in the first cache area and sending the target data to the interceptor through the sandbox when it is detected according to the data access information that the target data exists in the first cache area; the user-mode file system comprises a second cache area set in a user mode of the operating system, and the first cache area shares data in the second cache area; and returning the target data to the application program through the interceptor. The data access path can be reduced, the access delay can be reduced, and the data access efficiency can be improved.

The invention relates to an intelligent terminal decentralized data storage and calling method and system and a storage medium, and the method comprises the steps: enabling a cloud data center to divide total data into a plurality of logic data fragments, distributing a main storage region, and generating and maintaining a general table key rule library; issuing the data items to the regional monitoring equipment; the method comprises the following steps: storing data items in an intelligent terminal through regional monitoring equipment, recording a mapping relationship between data item identifiers and intelligent terminal addresses storing the data items, and forming and maintaining a metadata index table; when the first intelligent terminal obtains target data, a query request is sent to the area monitoring equipment of the area; querying the metadata index table through the region monitoring equipment, determining an address of a second intelligent terminal storing the target data, and returning the address; and establishing point-to-point connection with the second intelligent terminal based on the returned address to obtain target data. The cloud storage pressure is reduced, the data access efficiency is improved, and the system reliability is enhanced.

The application provides a data multidimensional analysis method and device for the insurance industry, which comprises the following steps: acquiring all dimensional information for risk analysis of the insurance industry; acquiring all index information for measuring risk of the insurance industry; associating the dimensional information, the index information and entity table relations in a database through a knowledge graph, and constructing a fact table based on the association result; establishing a metadata model based on the dimensional information, the index information and the fact table, wherein the metadata model is an entity relation model; inputting dimensional information and index information to be analyzed for risk into the metadata model, and obtaining a fact table with minimum query cost; and obtaining an optimal query path meeting a query condition and a query result corresponding to the optimal query path based on the fact table with minimum query cost. The method can realize fast response of big data multidimensional analysis and improve user experience.

This application discloses a method, apparatus, device, and medium for processing electricity customer evaluation data, belonging to the field of data processing. The method comprises: generating node scores for distributed nodes based on the operational data corresponding to each distributed node; the distributed nodes include storage nodes and computing nodes; when an evaluation data processing task is received, determining several target storage nodes from the storage nodes according to the data required for the evaluation data processing task; grouping the target storage nodes according to a first network communication distance between each target storage node to obtain at least one storage node group; determining the target computing node corresponding to each storage node group from all computing nodes according to the node scores; and processing the customer evaluation data of each target storage node in the corresponding storage node group through the target computing node. Therefore, by implementing this application, the problem of low efficiency in processing electricity customer evaluation data in a distributed environment can be solved.