Backup Repository Arrangement Optimization for Cost and Availability
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Solution Overview
Problem
Current backup management systems face challenges in designing cost-effective backup configurations that reduce the scale of backup data storage destinations while meeting IT system requirements for backup and restoration processes, especially in virtualized environments and public clouds.
Innovation Solution
A backup management system that uses a processor and memory to calculate optimal backup repository arrangements based on business system configuration, repository configuration, and constraint rules, estimating processing times for backup and restoration to satisfy target completion times and selecting cost-effective combinations of backup data storage destinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the scale of backup data storage destination is reduced to improve cost effectiveness, then backup system cost is reduced, but backup capability and system availability may be compromised
Solution Approach 1:
The system dynamically changes parameters including backup storage location, storage capacity, backup frequency, and retention period based on calculated risk scores and business requirements. This allows optimization of backup configuration to achieve cost effectiveness while maintaining necessary reliability levels for different data types and business scenarios.
Solution Approach 2:
Different backup strategies are applied to different data based on their specific characteristics and business importance. Critical data receives more robust backup protection while less critical data uses simplified backup approaches, allowing cost reduction in non-critical areas while maintaining reliability for essential systems.
2Device complexity
If backup configuration is simplified to reduce device complexity, then ease of construction is improved, but ability to meet diverse backup requirements may be compromised
Solution Approach 1:
The system automatically calculates risk scores, determines optimal backup configurations, and generates implementation plans without requiring manual expert intervention. This self-service approach simplifies the user interface and construction process while maintaining the ability to handle diverse backup requirements through automated analysis and decision-making.
Solution Approach 2:
The system performs preliminary analysis of business systems, data characteristics, and risk factors before configuring backup solutions. By pre-calculating risk scores and determining optimal configurations in advance, the system simplifies the actual implementation process while ensuring diverse requirements are met through thorough prior planning.
Data Source
AI summary
An arrangement combination of a backup repository satisfying an arrangement constraint rule is calculated based on business system configuration information related to a configuration of a business system server included in a management target, backup repository configuration information which is information related to a configuration of a repository server for storing the backup data, input backup setting information, and the arrangement constraint rule for determining an arrangement of backup data according to a backup purpose, Estimated are a processing time of predetermined backup for an arrangement of the backup repository and a processing time of predetermined restoration for an arrangement of the backup repository and a restoration purpose. The combination in which the processing times of the backup and the restoration satisfy a target backup completion time and a target restoration processing time included in the input backup setting information is derived among arrangement combinations of the backup repository.