Networked Storage Resource Management via Unstructured Data API Indexing
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Solution Overview
Problem
Existing networked storage systems face challenges in efficiently managing and monitoring resources due to limitations in fixed schema formats, which fail to accommodate user demands for diverse data sources and varying attribute information.
Innovation Solution
The introduction of an application programming interface (API) that receives unstructured data, interprets it, and transforms it into a logical index format, allowing for flexible management and monitoring of both structured and unstructured data objects within networked storage environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed schema formats are used for data management, then data structure consistency is maintained, but adaptability to diverse data sources and varying attribute information deteriorates
Solution Approach 1:
The patent implements dynamic schema evolution by allowing the data model to adapt and change over time based on incoming data sources and requirements. The system transitions from static fixed schemas to dynamic schemas that can be modified, extended, and reconfigured without complete system redesign, enabling adaptability while maintaining manageable complexity through controlled evolution mechanisms.
Solution Approach 2:
The system allows modification of schema parameters and data structure attributes to accommodate diverse data sources. By enabling parameter changes in the data model including adding, removing, or modifying attributes and relationships, the system achieves versatility while managing complexity through version control and migration strategies.
2Adaptability or versatility
If unstructured data is accommodated, then data source diversity is improved, but data processing complexity increases
Solution Approach 1:
The patent introduces intermediary layers including data normalization services and abstraction mechanisms that mediate between diverse unstructured data sources and the core system. These intermediaries transform and standardize incoming data before processing, enabling support for diverse data sources while containing processing complexity within the intermediary layer rather than propagating it throughout the entire system.
Solution Approach 2:
The system segments data processing into distinct modules and layers, each handling specific aspects of unstructured data management. By dividing the processing pipeline into separate components for ingestion, normalization, validation, and storage, the system achieves data source diversity while managing overall complexity through modular architecture that allows independent development and maintenance of each segment.
3Ease of operation
If flexible data models are implemented, then user query customization is improved, but system reliability deteriorates
Solution Approach 1:
The patent implements preliminary validation and schema definition mechanisms that establish rules and constraints before data processing and querying occurs. By pre-defining data models, validation rules, and query templates, the system enables user query customization while maintaining reliability through automated validation that ensures queries conform to established patterns and business rules, preventing erroneous operations.
Solution Approach 2:
The system incorporates feedback mechanisms including validation feedback, error reporting, and query result verification that monitor and control flexible data operations. These feedback loops ensure that customized queries and data modifications maintain system integrity and reliability by detecting and correcting deviations from expected behavior while still allowing user customization within safe boundaries.
Data Source
AI summary
Methods and systems for a networked storage environment are provided. One method includes maintaining by a processor of a management console, a plurality of structured objects representing a plurality of resources in a networked storage system for storing and retrieving client data from a plurality of storage devices; receiving by the processor unstructured data from an application programming interface (API) associated with a resource of the networked storage system; parsing by the processor, the unstructured data and generating an identifier hash value based on uniquely identifying fields of the unstructured data for an unstructured object; and generating by the processor a logical index with a configuration index and a performance index for the unstructured object identified by the identifier hash value for responding to user requests for performance information regarding the unstructured object.