Storage Gateway Dynamic Data Migration
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Solution Overview
Problem
Existing data management systems fail to dynamically adapt to changing storage topologies and quality of service requirements over the lifetime of data, leading to suboptimal storage and retrieval of client data in networked environments.
Innovation Solution
A storage gateway system that utilizes a data history map to store, migrate, and replicate data across different storages based on quality of service requirements, dynamically selecting storage locations to ensure optimal service characteristics over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is stored in a fixed storage location, then storage management is simple, but the system cannot adapt to changing quality of service requirements over time
Solution Approach 1:
The patent implements dynamic data migration by transitioning from static storage allocation to dynamic storage selection. The system continuously monitors quality of service requirements and automatically migrates data between storage locations based on changing conditions, making the storage management system adaptive rather than fixed.
Solution Approach 2:
The system employs feedback mechanisms by monitoring quality of service requirements and storage conditions, then using this information to make intelligent migration decisions. The feedback loop enables the system to adapt to changing conditions while maintaining automated control, resolving the contradiction between adaptability and complexity.
2Reliability
If data is migrated frequently to meet quality of service requirements, then service quality is maintained, but storage operations become inefficient
Solution Approach 1:
The system applies partial action by migrating only when necessary rather than continuously. It monitors quality of service requirements and triggers migration operations selectively based on actual needs, avoiding unnecessary migrations that would waste resources while still maintaining service quality when required.
Solution Approach 2:
The system changes migration parameters dynamically by adjusting migration triggers and thresholds based on quality of service requirements. This allows the system to optimize between service quality and operational efficiency by modifying migration behavior according to current conditions rather than using fixed migration policies.
3Measurement precision
If manual intervention is used for data migration decisions, then migration precision is high, but user burden increases
Solution Approach 1:
The system implements self-service by enabling automated migration decisions based on monitored quality of service requirements. The system independently evaluates migration needs and executes migrations without requiring user intervention, while maintaining accurate decision-making through continuous monitoring and intelligent algorithms.
Solution Approach 2:
The patent introduces an intermediary automated migration management system that acts between user requirements and storage operations. This intermediary layer handles the complexity of migration decisions automatically, providing accurate migration timing and location selection without requiring direct user involvement in the decision-making process.
Data Source
AI summary
A storage gateway for managing data includes a persistent storage and a processor. The persistent storage stores a stored data history map. The processor obtains a data storage request for a datum from a client; stores the datum in a first storage based on a quality of storage service requirement associated with the datum; after the datum is stored in the first storage, updates the stored data history map associated with the datum based on the quality of storage service characteristics of the first storage; and after updating the stored data history map, migrates the datum to a second storage based on the quality of storage service requirement and the updated stored data history map.