Cloud Storage Destination Identification via NLP Analysis
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Solution Overview
Problem
In cloud storage environments, users face difficulties in locating appropriate folders within cloud storage service providers due to extensive folder lists and varying storage requirements for different data file types, such as privacy, financial, or multimedia data, which necessitate specific storage capabilities and compliance with enterprise or governmental regulations.
Innovation Solution
A system utilizing natural language processing to analyze data file content and metadata, contextual analysis of available cloud storage service providers, and creation of new folders if necessary, to recommend appropriate cloud storage service providers and folder locations based on cloud storage policies and user permissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually locate appropriate folders in cloud storage service providers, then storage operations can be completed, but the extensive folder lists and varying storage requirements make the process time-consuming and difficult
Solution Approach 1:
The system automatically analyzes data file content and metadata to identify appropriate cloud storage folders without requiring manual user search. The natural language processing system performs self-service by autonomously matching file characteristics with storage requirements, eliminating the time-consuming manual folder location process while maintaining accurate compliance-based routing
Solution Approach 2:
The patent introduces an intermediary natural language processing system that acts as a mediator between the data file and the cloud storage folders. This intermediary analyzes file content, extracts meaningful information, and intelligently matches files with appropriate storage locations based on compliance requirements, thereby resolving the contradiction between ease of operation and time consumption
2Reliability
If cloud storage service providers offer multiple specialized folders for different data types, then storage compliance and security are improved, but the complexity of folder lists and storage selection increases
Solution Approach 1:
The natural language processing system serves as an intermediary that handles the complexity of folder structure analysis and matching. It automatically interprets folder requirements, analyzes data file characteristics, and performs the complex matching process, thereby maintaining high storage compliance while shielding users from the underlying folder structure complexity
Solution Approach 2:
The patent replaces the manual mechanical process of folder selection with an automated natural language processing system. This substitution transforms the complex manual task of navigating extensive folder lists into an automated intelligent analysis process, maintaining reliability through accurate compliance matching while eliminating the operational complexity for users
3Reliability
If users analyze data file content to determine appropriate storage locations, then storage compliance is improved, but the processing time and computational resources increase
Solution Approach 1:
The system applies partial analysis by focusing on key content characteristics and metadata that are most relevant for compliance determination rather than analyzing every aspect of the data file. This selective approach maintains storage compliance accuracy by identifying the critical elements needed for proper folder matching while reducing overall processing time and computational resources
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for identifying cloud storage destination. The embodiment may include identifying content of a data file being created or updated. The embodiment may include identifying cloud storage criteria of the data file. The embodiment may include determining whether an existing storage solution within a cloud storage service provider (CSSP) knowledge corpus is applicable to the data file. In response to determining that an existing storage solution is not applicable to the data file, the embodiment may include creating a new storage solution for the data file based on the identified content and cloud storage criteria of the data file.