Digital Content Segmentation for Storage Optimization
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Solution Overview
Problem
Existing content management systems (CMSs) face challenges in efficiently storing and retrieving digital content due to the large size and complexity of content, which can lead to significant memory consumption and slower response times.
Innovation Solution
A computer-implemented method that analyzes and divides digital content into a common portion and a unique portion, where the common portion is stored as a template if it does not match existing templates, allowing for efficient storage and retrieval by combining the common and unique portions at content retrieval time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If digital content is stored in its entirety in a cache, then content retrieval speed is improved, but memory consumption increases significantly
Solution Approach 1:
The patent segments digital content into two distinct portions: a common portion that is stored in the cache as a template, and a unique portion that is stored separately. This segmentation allows the system to store only the essential common structure in memory while keeping the variable content elsewhere, thereby reducing memory consumption while maintaining fast retrieval capability for the common portion.
Solution Approach 2:
The patent extracts the common portion from the complete digital content and separates it into a template that is stored in the cache. By taking out and isolating the common elements, the system reduces the amount of data that needs to be stored in memory, as only the common portion needs to be cached rather than the entire content including unique variations.
2Productivity
If the cache is made larger to store more content, then content retrieval efficiency is improved, but system cost increases
Solution Approach 1:
The patent applies segmentation by dividing content into common and unique portions, allowing the cache to store only the common portion as templates. This reduces the required cache size significantly compared to storing complete content, thereby improving retrieval efficiency without requiring proportionally large storage capacity.
Solution Approach 2:
The patent creates a universal template approach where a single common portion template can serve multiple different digital content items that share similar structures. This multi-functionality allows the cache to store one template that can be reused for multiple content types, improving retrieval efficiency while minimizing the total storage capacity required.
3Quantity of substance
If digital content is divided into common and unique portions, then storage requirements are reduced, but content processing complexity increases
Solution Approach 1:
The patent segments content into common and unique portions using automated analysis tools that examine content structure and identify reusable elements. This segmentation reduces storage requirements by allowing the system to store only the common portion as a template, while the complexity of the segmentation process itself is managed through automated detection and classification mechanisms.
Data Source
AI summary
In an approach to analyzing and dividing content for efficient storage and retrieval, one or more computer processors receive a first digital content from a user. One or more computer processors divide the first digital content into a first unique portion and a first common portion. One or more computer processors analyze the first common portion to determine whether the first common portion matches a previously stored template. One or more computer processors determine the first common portion does not match a previously stored template. In response to determining the first common portion does not match a previously stored template one or more computer processors store the first common portion as a new template. One or more computer processors distribute the new template to the user.