Data Storage Path Prediction for High-Concurrency Image Retrieval

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Solution Overview

Problem

Existing security systems face significant pressure due to large-scale concurrent queries of stored images, with memory limitations and database bottlenecks causing inefficiencies in image retrieval processes.

Innovation Solution

A data retrieval prediction method that determines data storage path information, identifies target operation objects, and performs storage-affecting event analysis to predict the storage situation of data objects, dispersing system service pressure by predicting rather than directly retrieving data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the system polls and retrieves all images within camera-defined time periods and stores results in database, memory, and disk, then data retrieval completeness is improved, but system pressure and database bottleneck worsen under high service concurrency

Engineering Contradiction:

Improvedata retrieval completenessVSAvoidsystem pressure

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent applies preliminary action by predicting data storage paths and storage situations before actual retrieval operations occur. The system analyzes storage paths of data objects and predicts whether storage-affecting events will occur, allowing the system to prepare retrieval strategies in advance rather than reacting to high concurrency demands, thus reducing real-time system pressure while maintaining retrieval completeness

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary prediction mechanism between the retrieval request and the actual data access. By inserting a storage situation prediction layer that analyzes storage paths and predicts storage events, the system mediates between high-concurrency retrieval demands and the underlying storage resources, reducing direct pressure on the database while ensuring complete data retrieval through predicted storage locations

Inventive Principle:

Principle #24Intermediary (Mediator)

2Speed

If memory size is increased to handle more concurrent retrieval, then retrieval speed is improved, but cost and system complexity worsen

Engineering Contradiction:

Improveretrieval speedVSAvoidmemory size

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The patent uses copying by creating virtual storage path information and prediction results that mirror actual storage locations without duplicating the actual data in memory. The system copies metadata about storage paths and predicts storage situations, allowing fast retrieval through predicted locations without requiring large amounts of physical memory to cache actual image data, thus maintaining retrieval speed while avoiding increased memory size and complexity

Inventive Principle:

Principle #26Copying

Data Source

PatentUS12554768B2Data retrieval prediction method, electronic device, and readable medium

Publication Date: 2026.02.17 ZHEJIANG UNIVIEW TECH CO LTD

AI summary

A method includes that the data storage path information used by a data object in a target query time period is determined, that a target operation object through which the data object written from a source end to a destination end passes is determined from the data storage path information, and that a storage situation of the data object in the target query time period is predicted and determined by performing a storage-affecting event analysis on the target operation object.