Proactive Disaster Recovery Activation Using Log Correlation
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Solution Overview
Problem
Existing disaster recovery systems lack a secure and proactive mechanism to activate disaster recovery plans in response to potential system failures, leading to potential downtime and disruption of critical business functions.
Innovation Solution
A system and method that collects and cross-correlates logs from computing devices to determine potential system failures, assigns scores based on disaster indicators, and activates a disaster recovery system when the score exceeds a threshold, enabling seamless migration to a backup system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If disaster recovery systems are activated manually or reactively, then system reliability is maintained, but downtime and disruption of critical business functions increase
Solution Approach 1:
The system performs preliminary actions by continuously collecting and analyzing logs to detect disaster indicators before a full system failure occurs. The proactive activation mechanism triggers disaster recovery procedures in advance, eliminating the need for manual intervention and reducing downtime significantly.
Solution Approach 2:
The system implements a feedback mechanism where log data is continuously monitored, analyzed, and used to adjust the disaster indicator score. When the score exceeds the threshold, the system automatically activates disaster recovery, creating a closed-loop control system that responds dynamically to system health changes.
2Loss of time
If proactive activation is implemented, then downtime is minimized, but system complexity increases due to log correlation and scoring mechanisms
Solution Approach 1:
The system segments the complex disaster recovery activation process into manageable components: log collection, log correlation, disaster indicator identification, scoring, and activation decision-making. This modular approach makes the system more manageable and maintainable despite its complexity.
Solution Approach 2:
The disaster indicator scoring mechanism acts as an intermediary between raw log data and the disaster recovery activation decision. By introducing this intermediate scoring layer, the system translates complex log analysis into a simple threshold-based activation criterion, reducing the perceived complexity.
3Measurement precision
If log collection and cross-correlation are performed continuously, then disaster detection accuracy is improved, but computational resources and energy consumption increase
Solution Approach 1:
The system performs partial analysis by focusing only on relevant log entries that contain disaster indicators rather than processing every log entry in detail. This selective approach maintains high detection accuracy while reducing unnecessary computational overhead.
Solution Approach 2:
The system merges multiple log sources and correlation rules into a unified disaster indicator scoring mechanism. By combining these elements into a single integrated system with a threshold-based decision rule, the system reduces the overall computational burden compared to analyzing each log source separately.
Data Source
AI summary
A proactive activation system and method perform secure proactive activation of a disaster recovery system of a business. The proactive activation system comprises a log correlation system, a scoring system, and a disaster recovery activation system. The log correlation system collects logs from a computing device used in the business by a user, cross-correlates the collected logs, and determines a potential system failure as a disaster indicator. The scoring system assigns a score to the disaster indicator. In the case of the disaster indicator score being greater than a predetermined threshold, the disaster recovery activation system generates a control signal to activate the disaster recovery system. The method implements the proactive activation system.