Cloud Metadata Tagging for Storage Efficiency
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Solution Overview
Problem
Cloud storage services face space limitations and inefficiencies in data management, particularly in handling content uploads and sharing across terminals, where metadata classification and interoperability are lacking, leading to redundant storage and increased network traffic.
Innovation Solution
A data management method and system that classify and extract metadata on a per-terminal basis, using tag information associated with the metadata to enable data interoperability and community generation between terminals, minimizing redundant storage and optimizing network usage by managing metadata and content sharing efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all content data is stored in storage space when users upload content, then complete data availability is achieved, but storage space consumption increases significantly
Solution Approach 1:
The patent extracts only the metadata from the uploaded content and stores it in the storage space, while the actual content is stored locally on the terminal. This separation allows the system to maintain data availability through metadata indexing while dramatically reducing storage space consumption on the server.
Solution Approach 2:
The patent creates a metadata copy of the uploaded content, which contains essential information for data retrieval and management. This metadata copy enables the system to manage and access content information without storing the full content data, thus reducing storage requirements while maintaining functionality.
2Adaptability or versatility
If metadata is classified and extracted on a per-terminal basis with tag information, then data interoperability between terminals is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal metadata classification system with standardized tag information that can be applied across different terminals and content types. This universal metadata structure enables data interoperability between various terminals while maintaining a manageable system complexity through consistent classification rules.
3Quantity of substance
If content is shared between terminals by checking for identical content, then redundant storage is reduced, but processing time increases
Solution Approach 1:
The patent performs preliminary metadata extraction and classification when content is initially uploaded, creating an indexed metadata structure that enables rapid comparison and identification of identical content across terminals. This preliminary action reduces the processing time required for subsequent content sharing operations by avoiding full content scanning.
Data Source
AI summary
The present invention relates to a data management method based on cloud computing and a system and apparatus therefor. In particular, when a user uploads or downloads content to or from a metacloud-type storage server, data interoperability between terminals is performed using tag information associated with the metadata of the corresponding content, and thus the extraction of metadata is differently performed for each terminal, for each time, or for each user, so that a load between a terminal and a server can be minimized and a metacloud function can be smoothly provided. Furthermore, a metadata extraction target is controlled by a server, so that centralized requirements can be applied to the terminals at the same time and thus uniform service quality can be provided.