Multi-factor probe triggers for automated backup
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Solution Overview
Problem
Existing data backup systems perform backups based on time intervals, which do not account for data changes, leading to inefficiencies and unnecessary client downtime due to transmitting identical data and maintaining redundant backup points.
Innovation Solution
Implementing a system with user-defined conditions for backups using probes to detect changes in data and network activity, allowing for automated backups based on specific criteria, such as log size or network traffic, and utilizing probe groups to manage backup decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If backups are performed based on time intervals, then automation is improved, but backup efficiency deteriorates due to transmitting identical data
Solution Approach 1:
The system uses probes to continuously monitor data changes and provide feedback signals to the backup controller. When data changes are detected, the probes trigger a backup operation. This feedback mechanism maintains automation while improving efficiency by ensuring backups only occur when necessary, eliminating redundant transmissions of unchanged data.
Solution Approach 2:
The backup system monitors its own data sources through integrated probes that detect changes autonomously. The system serves itself by automatically determining when backups are needed based on real-time data state, eliminating the need for external scheduling while optimizing backup timing to transmit only changed data.
2Extent of automation
If backups are performed based on time intervals, then automation is improved, but client downtime increases due to unnecessary backup operations
Solution Approach 1:
Probes provide real-time feedback on data change status, enabling the backup system to automatically determine when client involvement is necessary. This feedback-driven approach minimizes client downtime by preventing unnecessary backup operations while maintaining automated monitoring and control.
Solution Approach 2:
The system performs preliminary monitoring of data changes through probes before initiating backup operations. By detecting data changes in advance, the system prepares for backups only when necessary, reducing unnecessary client interruptions while maintaining automated backup capability.
3Reliability
If multiple backup points are maintained, then data availability is improved, but storage efficiency deteriorates due to redundant data
Solution Approach 1:
The system extracts and stores only the changed portions of data in backup points rather than complete data sets. By identifying and isolating only the modified data through probe monitoring, the system maintains multiple backup points for reliability while significantly reducing storage requirements by eliminating redundant unchanged data.
Solution Approach 2:
Different backup points store different local qualities of data - each containing only the specific changes that occurred since the previous backup. This approach maintains data availability across multiple points while optimizing storage by ensuring each backup point contains only necessary unique information rather than complete duplicates.
Data Source
AI summary
A method, article of manufacture, and apparatus for efficiently backing up information are disclosed. In an embodiment, this may comprise receiving information about a computer system from at least one probe, selecting data to be backed up, and backing up the selected data. Boolean and/or conditional logic may be applied to the information received from the probes, and data backed up based on the logic analysis. A probe frequency may be determined and used for polling probes, and the probe frequency may be adjusted based on factors such as the received information, server utilization, and network utilization. A modular approach may be used in which a probe determines whether a condition has been met, and transmits that determination to a backup server.