Storage Management System for Suggesting Data Deletion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Electronic data storage media in devices like portable media players face challenges in efficiently managing limited storage space, as users struggle to locate and delete unwanted data due to the intangible nature of electronic data, leading to clutter and accidental deletion.
Innovation Solution
A system that detects data transfer initiation between storage media, determines available storage, and generates a list to suggest content for deletion based on user preferences and parameters, allowing users to select and back up data for efficient storage management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually browse and examine every data in the storage medium to delete unnecessary data, then storage space can be efficiently managed, but it is time-consuming and laborious
Solution Approach 1:
The system automatically analyzes storage contents and generates deletion suggestions without requiring manual user intervention. The processor autonomously identifies candidate files based on predefined criteria (file age, size, access patterns) and presents organized suggestions to users, allowing the system to serve itself in the storage management task.
Solution Approach 2:
The patent replaces the manual mechanical process of browsing and examining files with an automated computational system. The processor uses algorithms to analyze file metadata, access patterns, and storage characteristics to generate intelligent deletion suggestions, substituting human cognitive effort with automated information processing.
2Quantity of substance
If electronic storage media are used to store large volumes of information, then storage capacity is maximized, but the intangible nature of electronic data makes it difficult to locate and manage
Solution Approach 1:
The system visually categorizes and highlights different types of files and storage regions using color-coded indicators in the user interface. Candidate files for deletion are marked with distinct visual cues, allowing users to quickly identify and differentiate between various data types without manually searching through the intangible digital storage medium.
Solution Approach 2:
The patent introduces an intermediary layer between the user and the raw storage medium. This intermediary system (the processing unit and suggestion generator) translates the complex, intangible data structure into manageable, visually representable categories and suggestions, making the storage medium accessible and controllable despite its intangible nature.
3Productivity
If automatic deletion suggestions are generated, then time and effort are saved, but there is a risk of suggesting deletion of important data
Solution Approach 1:
The system generates deletion suggestions for only a subset of files that meet specific criteria (older files, larger files, less frequently accessed files) rather than making blanket deletion recommendations. This partial action approach reduces the risk of erroneous deletions while still achieving storage management goals by targeting the most suitable candidates.
Solution Approach 2:
The system incorporates user feedback mechanisms where users can review, approve, or reject deletion suggestions. The system learns from user decisions and adjusts its suggestion criteria accordingly, improving the reliability of future recommendations while maintaining high productivity in storage management.
Data Source
AI summary
An approach is provided for suggesting data for deletion from an electronic data storage medium. An external device detects initiation of transfer of data from first storage medium to second storage medium. Next, the external device determines an available storage in the second storage medium for the data. Then, the external device generates a list to suggest content for deletion within the second storage medium to accommodate the data.