Storage Device Scoring for Cross-Environment Migration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies are unable to effectively evaluate and compare storage devices in both on-premises and cloud environments, making it difficult to balance load, cost, and performance, and efficiently migrate data between them.
Innovation Solution
A storage operation support apparatus and method that evaluates storage devices by calculating environment scores, cost scores, and performance scores, facilitating the selection of appropriate devices and stable data migration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If storage devices in on-premises and cloud environments are evaluated separately using existing techniques, then evaluation of each environment can be performed, but comprehensive comparison and selection between environments becomes difficult
Solution Approach 1:
The patent creates a universal evaluation system that can assess storage devices across different environments (on-premises and cloud) using a unified methodology. The system calculates standardized scores including environment scores (carbon dioxide emission amounts), cost scores, and performance scores, enabling comprehensive comparison and selection of storage devices regardless of deployment environment.
2Adaptability or versatility
If multiple evaluation metrics (environment load, cost, performance) are considered to balance load, cost and performance, then comprehensive evaluation is achieved, but evaluation complexity increases
Solution Approach 1:
The patent segments the comprehensive evaluation into distinct, manageable components: environment scores (measuring carbon dioxide emission amounts and environmental load), cost scores (evaluating financial aspects), and performance scores (assessing read/write speeds). Each component is calculated separately using specific metrics, then integrated into an overall evaluation, making the complex assessment process systematic and manageable.
Solution Approach 2:
The patent transforms multiple qualitative evaluation aspects (environmental impact, cost, performance) into quantifiable parameters with standardized scoring. By converting environmental load to carbon dioxide emission amounts, cost to monetary values, and performance to speed metrics, the system enables objective comparison across different dimensions through numerical parameters.
3Productivity
If data migration is performed without evaluating read/write performance of source and destination storage devices, then migration can be executed, but data usability may be compromised and migration timing cannot be optimized
Solution Approach 1:
The patent performs preliminary evaluation of storage device read/write performance before initiating data migration. By assessing the I/O performance characteristics of both source and destination storage devices in advance, the system can determine optimal migration timing and strategies, ensuring that migration operations are scheduled when they will not compromise data usability or system performance.
Data Source
AI summary
A storage operation support apparatus includes a storage unit that stores storage device information that stores information on a state of a storage device and an evaluation unit that evaluates an evaluation target storage device to be evaluated. With reference to the storage device information, the evaluation unit calculates an environment score indicating a magnitude of a load on an environment of the evaluation target storage device, calculates a cost score indicating a magnitude of a cost of the evaluation target storage device, calculates a performance score indicating a slow speed of reading and writing data of the evaluation target storage device, and calculates a total score using the environment score, the cost score, and the performance score.