Cloud Medical Data Storage Tiering and Restoration Warnings
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Solution Overview
Problem
Cloud-based medical image data storage systems face challenges in managing data between storages with different access rates, particularly when low-speed storage requires significant time for file restoration, which is not adequately addressed in existing technologies.
Innovation Solution
A medical information storing system that includes a hardware processor for storing medical data in a first cloud storage, transferring data satisfying designated conditions to a second storage with a longer reading time, managing the storing state, and outputting warning information for data restoration, thereby improving the control of storages with different performances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If medical data is stored in low-speed storage to reduce costs, then storage cost is reduced, but data accessibility speed deteriorates
Solution Approach 1:
The storage system is segmented into multiple storage devices with different performance characteristics (high-speed and low-speed storage). Medical data is selectively placed in different storage devices based on access patterns and requirements, allowing the system to optimize between cost and speed by using low-speed storage for less frequently accessed data while maintaining high-speed storage for critical data.
Solution Approach 2:
The system dynamically manages data placement between high-speed and low-speed storage devices based on real-time access patterns. When data is accessed frequently, it is moved to high-speed storage; when access patterns indicate lower demand, data is migrated to low-speed storage. This dynamic adjustment allows the system to adapt storage allocation to actual usage requirements, optimizing the balance between cost and performance.
2Loss of energy
If data is transferred to low-speed storage for cost reduction, then storage cost is reduced, but restoration time increases
Solution Approach 1:
The system performs preliminary actions by pre-moving frequently accessed or recently accessed data from low-speed storage back to high-speed storage before it is actually needed. This proactive data migration reduces restoration time when data is requested, as the data is already positioned in the faster storage device. The system uses access pattern prediction and thresholds to determine when such preliminary migration should occur.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor data access patterns, storage device performance metrics, and data importance levels. Based on this feedback, the system automatically adjusts data placement decisions, moving data between high-speed and low-speed storage devices to optimize both cost and restoration time. The feedback loop ensures that restoration time remains acceptable while maximizing cost savings.
3Loss of energy
If multiple storage devices with different access rates are used, then storage cost is optimized, but system complexity increases
Solution Approach 1:
The storage system implements self-service capabilities where the management apparatus automatically monitors storage device performance, analyzes data access patterns, and performs data migration between high-speed and low-speed storage devices without requiring manual intervention. The system autonomously makes placement decisions based on predefined policies and real-time metrics, significantly reducing the operational complexity of managing multiple storage devices with different performance characteristics.
Solution Approach 2:
The storage management apparatus serves multiple functions: it monitors storage device status, analyzes access patterns, determines optimal data placement, executes data migration, and provides reporting. By consolidating these diverse functions into a single multi-functional management system, the patent reduces the overall complexity that would otherwise require separate specialized components for each storage device type.
Data Source
AI summary
A medical information storing system includes: a hardware processor that: stores medical data related to medical care in a first storage provided in a cloud; transfers, from the first storage, the medical data satisfying a designated condition to a second storage provided in the cloud, wherein the second storage requires a longer reading time period than the first storage does; manages a storing state of the medical data; and outputs to a display the storing state, or warning information about restoration of the medical data stored in the second storage and having been referred to.