Differential Data Storage Routing for Higher Compression Archiving
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Solution Overview
Problem
Current data storage systems face challenges in efficiently managing and archiving large volumes of electronic data due to increasing data generation rates, storage capacity limitations, and high administrative overhead, leading to impracticality in commercial and economical terms.
Innovation Solution
A distributed, differential electronic-data storage system that employs compression-enhancing data-object routing methods to direct data objects to component storage systems, utilizing logical bins and query-based routing techniques to achieve high data compression ratios and efficient storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in traditional mass-storage devices with increasing capacity, then storage capacity is improved, but expense and administrative overhead increase to impractical levels
Solution Approach 1:
The patent segments the storage system into multiple component storage systems, each handling a portion of the data. This segmentation allows the system to scale capacity by adding individual components rather than requiring ever-larger monolithic storage devices, thereby avoiding the administrative overhead and expense associated with managing single large-scale storage infrastructure.
2Quantity of substance
If data compression is increased to reduce storage requirements, then storage efficiency is improved, but data retrieval and processing complexity increases
Solution Approach 1:
The patent introduces a routing component as an intermediary that manages the compressed data across multiple storage systems. This routing component maintains metadata and routing information that enables efficient data retrieval without requiring complex decompression and re-compression operations, thus achieving high storage efficiency while keeping data retrieval manageable through intelligent routing rather than brute-force decomposition.
3Productivity
If data is distributed across multiple storage systems, then storage scalability is improved, but data routing and management complexity increases
Solution Approach 1:
The patent implements a routing component that automatically routes data objects to appropriate component storage systems based on content analysis and compression potential. This self-service routing mechanism eliminates the need for manual data placement decisions and reduces management complexity by allowing the system to autonomously optimize data distribution across multiple storage systems, thereby achieving scalability without proportional increases in routing complexity.
Data Source
AI summary
One embodiment of the present invention provides a distributed, differential electronic-data storage system that includes client computers, component data-storage systems, and a routing component. Client computers direct data objects to component data-storage systems within the distributed, differential electronic-data storage system. Component data-storage systems provide data storage for the distributed, differential electronic-data storage system. The routing component directs data objects, received from the clients computers, through logical bins to component data-storage systems by a compression-enhancing routing method.