Blockchain Ledger Analysis for Disaster Recovery Failover
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Solution Overview
Problem
Existing disaster recovery techniques are manual, time-consuming, and resource-intensive, often delaying the failover process due to the complexity of evaluating multiple disaster recovery sites with dynamic factors such as infrastructure strength, skill, and current threats.
Innovation Solution
A computer-implemented method that analyzes a blockchain ledger to determine the most suitable disaster recovery site for failover based on current threats, using AI-driven analysis and blockchain data to identify the best recovery site before a disaster event occurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual disaster recovery evaluation methods are used, then comprehensive assessment of recovery sites can be performed, but the process becomes time-consuming and delays failover
Solution Approach 1:
The system performs preliminary evaluation of disaster recovery sites by continuously monitoring and storing infrastructure data, threat information, and site status in a blockchain ledger before disasters occur. This pre-assessment eliminates the need for time-consuming manual evaluations during actual disaster events, enabling rapid automated failover decisions while maintaining comprehensive assessment accuracy.
2Reliability
If multiple disaster recovery sites are evaluated with dynamic factors, then the most suitable site can be identified, but the complexity of evaluation increases
Solution Approach 1:
The patent introduces an AI engine as an intermediary that automatically analyzes multiple dynamic factors including infrastructure strength, current threats, and site status. The AI engine processes complex evaluations by accessing blockchain-stored data about potential recovery sites and threat information, then recommends the most suitable site. This intermediary approach maintains high reliability in site selection while reducing evaluation system complexity through automated intelligent processing.
3Adaptability or versatility
If real-time threat information is incorporated into recovery site evaluation, then the selected site is more suitable for current conditions, but data processing requirements increase
Solution Approach 1:
The system performs preliminary data preparation by continuously collecting and storing threat information, infrastructure data, and site status in a blockchain ledger before disasters occur. This pre-processing of data ensures that when a disaster event happens, the AI engine can quickly query and analyze pre-prepared information without intensive real-time data processing, thereby maintaining adaptability to current threats while reducing energy consumption during critical failover decisions.
Data Source
AI summary
A computer-implemented method according to one embodiment includes accessing a copy of a ledger that includes information associated with a plurality of potential recovery sites of a multi-site environment. The information of the copy of the ledger is stored on a blockchain by the potential recovery sites. A current threat to a production site of the multi-site environment is identified. The method further includes, analyzing, based on the current threat, the copy of the ledger to determine one of the potential recovery sites to use as a failover for the production site, and in response to a determination that the current threat has caused a disaster event on the production site, causing the production site to failover to the determined recovery site.