Automated Disaster Recovery Pattern Selection for Storage Systems
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Solution Overview
Problem
Designing a disaster recovery constitution for large-scale storage systems with multiple sites is complex and time-consuming due to the need to consider various parameters such as physical distance, communication speed, and quality, making it difficult to implement effectively.
Innovation Solution
A storage system with a site information acquisition section, user condition acquisition section, candidate pattern generation section, pattern evaluation section, and pattern selection section that generates and evaluates candidate patterns based on predetermined indices and user conditions to select an applicable disaster recovery pattern, along with document output for construction and operation procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a plurality of sites are connected to form a disaster recovery constitution, then disaster tolerance is increased, but the overall system constitution becomes complicated and design effort increases
Solution Approach 1:
The patent segments the disaster recovery constitution design into modular components: site information acquisition, user condition acquisition, candidate pattern generation, pattern evaluation, and pattern selection. Each module handles a specific aspect of the complex design process, making the overall system manageable while achieving high disaster tolerance through multiple site connections.
Solution Approach 2:
The patent changes the approach from manual design based on multiple parameters (physical distance, communication speed, quality) to automated pattern generation that evaluates candidate configurations against predefined indices. This transforms the complex design process into a systematic parameter evaluation, reducing design effort while maintaining reliability.
2Reliability
If multiple parameters are considered for site connections, then disaster recovery performance is improved, but design time and effort increase
Solution Approach 1:
The patent performs preliminary actions by pre-defining indices for evaluation (such as physical distance, communication speed, quality) and pre-generating candidate patterns before the actual design process. This allows the system to quickly evaluate and select from pre-prepared options, significantly reducing design time while maintaining comprehensive consideration of multiple parameters.
Solution Approach 2:
The patent replaces the manual mechanical process of designing disaster recovery constitutions by considering multiple parameters with an automated information processing system. The system automatically acquires site information, generates candidate patterns, evaluates them against user conditions, and selects the best configuration, eliminating time-consuming manual analysis while improving disaster recovery performance.
3Ease of operation
If user-friendly design is implemented, then ease of operation is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling the system to automatically acquire site information, generate candidate patterns, evaluate them against user conditions, and select the best configuration without requiring extensive user expertise. The system serves itself by processing information and making design decisions, improving user friendliness while managing internal complexity through automated mechanisms.
Data Source
AI summary
The present invention detects patterns that conform to the user conditions in cases where a disaster recovery constitution is constructed by connecting a plurality of sites. The design system is used in cases where the disaster recovery constitution is provided in a storage system. The site information acquisition section acquires information relating to the constitution in the sites and information relating to the connections between the sites, and stores the information in the site information table. The candidate pattern generation section generates candidate patterns for each of the parameters on the basis of the site information table and a basic pattern table. The candidate pattern evaluation section evaluates the respective candidate patterns by using the user condition table and presents patterns which conform to the user conditions to the user. The document output section generates a construction procedure and operating procedure on the basis of patterns selected by the user.