Enterprise incremental backup method and system based on content awareness and intelligent scheduling

By loading a filter driver component into the operating system kernel to intercept data streams and calculate hash fingerprints, and combining this with business topology mapping and load monitoring, an incremental backup task queue is constructed. This solves the mutual exclusion problem between backup tasks and production operations in industrial control environments, achieving efficient data synchronization and system stability.

CN122884756APending Publication Date: 2026-10-09陕西中安数联信息技术有限公司
3 Cites 0 Cited by

Patent Information

Application Number
CN202611075651.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-20
Publication Date
2026-10-09

AI Technical Summary

Technical Problem

In industrial control environments, existing technologies cause backup tasks and production operations to be mutually exclusive, leading to system resource deadlocks and making it difficult to achieve coordinated efficiency in data flow and consistency verification in multi-level storage environments.

Method used

By loading a filter driver component in the operating system kernel, intercepting data streams and calculating content hash fingerprints, and combining this with a business topology mapping table and load monitoring, an incremental backup task queue is built. The write backpressure logic is then initiated and a write success signal is sent back, thereby achieving data synchronization processing and merging for disk write.

Benefits of technology

It effectively avoids the backup process from monopolizing the bandwidth of the production control bus, ensures the real-time response and system stability of the industrial control system, prevents retry storms and system crashes caused by write timeouts, and realizes the maximum utilization of limited computing resources.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present application belongs to the technical field of industrial control system data storage and backup, and relates to an enterprise-level incremental backup method and system based on content perception and intelligent scheduling, comprising: loading a filtering driver component in the kernel input-output stack, intercepting data write requests and calculating content hash fingerprints; matching a business topology mapping table to establish data weights; constructing a backup task queue in combination with node load states; starting write back pressure logic when the load exceeds a threshold, intercepting physical disk writing actions and feeding back asynchronous confirmation messages; and completing incremental merging and disk writing by relying on fingerprints through a virtualization driver component. The present application effectively solves the resource mutual exclusion contradiction between backup tasks and real-time production instructions through the kernel state in-situ perception and back pressure feedback mechanism, guarantees the business logic continuity under saturated storage bus conditions, prevents write timeout from inducing retry storms, and improves the data availability of industrial control systems.
Need to check novelty before this filing date? Find Prior Art