5results about How to "Reduce query latency" patented technology

The invention discloses a database distributed version synchronization and intelligent compression method and system, and relates to the technical field of distributed databases. The method comprises the following steps: a database fragment management mechanism in a distributed environment divides a database into a plurality of fragments, and each fragment independently maintains a versioned storage manager; a cross-node version coordination mechanism ensures the consistency of global version numbers; according to a multi-copy synchronization mechanism, the consistency of multiple copies is ensured by adopting a two-stage submission protocol; an intelligent copy selection algorithm; a distributed garbage recycling mechanism; the version compression mechanism is used for analyzing historical version data and storing the historical version data by adopting increment; intelligently combining strategies, and determining a compression strategy according to the data access frequency. According to the method, the problem of consistency of data version synchronization in a distributed environment is solved, and meanwhile, storage space occupation is reduced through intelligent compression.

The application relates to the technical field of data caching, in particular to a social caching retrieval system fusing hot spot analysis, which comprises a hot degree modeling unit, a social association unit and a caching resource allocation unit. The hot degree modeling unit is used for obtaining a hot spot event set, performing hot degree modeling on each hot spot event in the hot spot event set, and obtaining hot degree characteristics of the hot spot event. The social association unit is used for obtaining a user set and constructing a user-content bipartite graph according to interactive behaviors between the hot spot event set and the user set. Through the hot degree modeling unit and the propagation calculation unit, the hot spot event can be modeled according to user behaviors and historical data, and the hot degree of the hot spot event at a future moment can be predicted by using a hot degree prediction model, so that the events which will become hot spots can be identified in advance, and more caching resources can be allocated to the events according to the prediction results.

The invention discloses a database construction method based on hybrid heap allocation and versioned storage, and relates to the technical field of databases. The method comprises the following steps: establishing a database file structure system comprising a data file, a metadata file, a function file, a mode file and an extension file; the method comprises the following steps: constructing a versioned storage manager adopting a hybrid heap allocation algorithm, dividing a heap memory into memory pages and memory blocks with fixed sizes, managing the free memory pages by using a free linked list, recording the allocation state of the memory blocks in a bitmap, and adding version header information for the memory blocks; establishing a version index mechanism based on a persistent B + tree; and a historical data tracking function is realized. According to the method, the advantages of the idle linked list and the bitmap are combined, the memory allocation efficiency is guaranteed, the damage resistance of the system is improved, and meanwhile, complete historical tracking of the data is achieved through a versioning storage mechanism.

The invention relates to the field of data management, in particular to an intelligent logistics cloud platform data management system and method. The method comprises the following steps: firstly, carrying out data preprocessing on collected original data and bound timestamps and position coordinates to obtain standardized data; based on the standardized data, introducing a space-time grid XOR perturbation coding algorithm to obtain space-time characteristic values; and then, based on the standardized data and the space-time characteristic values, introducing a linear consistency Hash variant algorithm based on space-time disturbance to obtain a main Hash value and an auxiliary virtual Hash value, and copying and storing the standardized data to corresponding physical data storage nodes. The technical problems of data load imbalance, hotspot node overload, performance bottleneck, single-point fault risk and insufficient fault-tolerant capability are solved.

This invention discloses an artificial intelligence-driven method and system for constructing a disease gene pharmacology association database, belonging to the interdisciplinary fields of computer software, bioinformatics, and precision medicine. This invention collects multi-source heterogeneous data through a deep reinforcement learning intelligent crawler, and achieves data standardization and quality control through a GNN-DTI model and a three-level labeling system; it employs a MySQL hierarchical storage engine to support high concurrency and large-scale expansion; it combines a T5 model and D3.js to provide natural language retrieval and visual interaction, and uses a multi-language SDK and containerized deployment to achieve pluggable expansion. This invention realizes a closed loop of data acquisition, processing, storage, and application, with a data confidence level exceeding 0.85, millisecond-level query response, and supports six major scenarios including precision medicine, providing efficient decision support for medical, pharmaceutical, and scientific research fields.