Source Controller Data Synchronization Flag Management
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Solution Overview
Problem
Data synchronization in storage networks is a resource-intensive process, requiring efficient management to ensure data redundancy and recovery capabilities, especially in distributed systems where connections may be unreliable.
Innovation Solution
A method involving a source controller that writes data to a destination controller when connected and sets a synchronization flag for data storage segments when the destination is unavailable, facilitating efficient data replication and recovery through logical volume management and data replication operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data synchronization is performed periodically to maintain redundancy, then data integrity and recovery capability are improved, but resource consumption and system complexity increase
Solution Approach 1:
The patent segments data into storage segments that can be independently synchronized. Instead of synchronizing entire datasets periodically, the system identifies and synchronizes only specific segments that have changed, reducing overall resource consumption while maintaining data integrity through targeted synchronization operations.
Solution Approach 2:
The system performs preliminary actions by establishing connection availability status before synchronization occurs. The source controller determines whether a connection to the destination controller is available prior to initiating data transfer, and sets synchronization flags accordingly, preventing resource-wasting synchronization attempts when connections are unavailable.
2Reliability
If continuous data synchronization is implemented to ensure real-time redundancy, then data availability is improved, but connection reliability requirements increase
Solution Approach 1:
The patent implements dynamic connection management where the synchronization process adapts to connection availability status. The source controller dynamically determines connection availability and adjusts synchronization behavior accordingly, transitioning between active synchronization and standby modes based on real-time connection status, thereby reducing complexity compared to continuous synchronization requirements.
Solution Approach 2:
The system employs feedback mechanisms where the source controller receives status information about connection availability to the destination controller. Based on this feedback, the source controller sets synchronization flags and adjusts its behavior, creating a closed-loop system that simplifies connection management by reacting to actual connection conditions rather than maintaining complex continuous synchronization protocols.
3Speed
If data is written to destination controller immediately upon availability, then synchronization speed is improved, but connection availability requirements increase
Solution Approach 1:
The source controller performs preliminary determination of connection availability before initiating data write operations to the destination controller. By checking connection status in advance and setting synchronization flags accordingly, the system prepares for immediate synchronization when connections are available while avoiding failed write attempts when connections are unavailable, thus achieving fast synchronization without excessive reliability requirements.
Data Source
AI summary
In one embodiment, a method comprises receiving, in a source controller, a signal indicative of a write request to a source volume managed by the source controller in response to the signal: writing data associated with the write request to a destination controller when a connection to the destination controller is available; and setting a synchronization flag associated with the data storage segment managed by the source controller when a connection to the destination controller is unavailable.