Dynamic Data Replication Policy Management
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Solution Overview
Problem
Current data backup and recovery solutions rely on manual input for managing data replication policies, leading to low efficiency and inflexibility, failing to adapt to changes in data importance and resulting in inadequate protection of significant data in a timely manner.
Innovation Solution
A method and device that automatically determine a target replication policy based on historical and current status information of a source device, using a replication policy model to adjust replication schedules and retention times dynamically, enabling intelligent and efficient data protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration of replication policy is used, then user control over replication schedule and retention time is achieved, but configuration time and operational complexity increase
Solution Approach 1:
The system automatically determines replication policies by analyzing historical status information and replication patterns without requiring manual user input. The server end autonomously generates optimization recommendations and updates replication policies based on learned patterns from historical data, eliminating the need for users to manually configure replication schedules and retention times.
Solution Approach 2:
The system collects historical status information and replication policy execution results, processes this feedback through a determination module, and uses the insights to automatically adjust and optimize replication policies. This closed-loop feedback mechanism enables continuous improvement of replication efficiency without additional manual intervention.
2Adaptability or versatility
If fixed replication policy is used, then simplicity of policy management is maintained, but adaptability to changing data importance and status is lost
Solution Approach 1:
The replication policy transitions from a static, fixed configuration to a dynamic, adaptive mechanism. The system continuously analyzes historical status information and automatically adjusts replication policies based on changing data importance and system conditions. This dynamic approach enables the replication policy to adapt to varying requirements while maintaining manageable complexity through automated determination processes.
3Reliability
If manual updates of replication policy are performed, then precision of policy control is maintained, but response time to data importance changes increases
Solution Approach 1:
The system performs preliminary analysis of historical status information and replication patterns to proactively determine optimized replication policies before data importance changes occur. By pre-processing historical data and establishing determination rules in advance, the system can rapidly respond to changing conditions without requiring manual intervention, thereby maintaining high reliability while improving response speed.
Data Source
AI summary
Embodiments of the present disclosure provide a method, a device and a computer program product for managing data replication. According to example implementations of the present disclosure, a replication policy model associated with data replication of a source device can be obtained, which is determined based on historical status information of the source device and a historical replication policy corresponding to the historical status information; current status information of the source device is determined, wherein the current status information indicates status information associated with pending data replication of the source device; and a target replication policy is determined based on the replication policy model and the current status information, which indicates a replication policy to be applied for performing the pending data replication. Therefore, the replication policy can be adjusted automatically based on the status of the source device, enabling a more efficient and intelligent data replication of the source device.