Planar File System for Heterogeneous Data Management
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Solution Overview
Problem
Existing data organization techniques for large amounts of heterogeneous data in high performance computing environments are inefficient, lacking robust methods to create logical relationships between data.
Innovation Solution
A planar file system is introduced, which groups data into logical storage constructs called planes, allowing users to define relationships between planes and sub-planes, enabling efficient organization and interrelation of large data sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional hierarchical file systems are used to store large amounts of heterogeneous data, then data can be organized in a structured manner, but it becomes increasingly difficult to manage and create logical relationships between data as data volume increases by orders of magnitude
Solution Approach 1:
The patent segments the monolithic hierarchical file system into multiple two-dimensional planes, where each plane represents a specific dimension or category of data organization. This segmentation allows independent management of different data types and relationships, reducing overall system complexity while improving management efficiency for large heterogeneous data sets.
Solution Approach 2:
The patent transitions from traditional one-dimensional hierarchical file structures to a multi-dimensional planar structure. Each plane introduces an additional dimension for organizing data, enabling more efficient representation of complex relationships between heterogeneous data elements without increasing management overhead.
2Quantity of substance
If large quantities of heterogeneous data files are stored using conventional techniques, then data storage capacity is achieved, but significant overhead is required to manage the data and robust techniques for creating logical relationships are lacking
Solution Approach 1:
The planar data structure serves multiple functions simultaneously: it provides scalable storage capacity for heterogeneous data, establishes logical relationships through plane intersections, and reduces management overhead by providing a unified interface for accessing data across multiple dimensions. This multi-functionality eliminates the need for separate management systems for storage and relationship tracking.
3Reliability
If traditional file systems are used, then data can be stored, but robust techniques for creating and managing logical relationships between large quantities of heterogeneous data are not provided
Solution Approach 1:
The patent uses multi-dimensional planes to represent different types of logical relationships between data. Each plane corresponds to a specific relationship type or category, and intersections between planes naturally define the logical connections between data elements. This dimensional approach provides robust relationship management without requiring complex relationship tracking mechanisms.
Data Source
AI summary
In certain embodiments, a computer-implemented method includes: receiving, from a user interface and at a planar file system manager executing on one or more processors, a planar file system configuration request comprising a plurality of planes and a plurality of plane relationships, wherein the plurality of plane relationships comprise a sub-planar relationship between a plane and a sub-plane and an orthogonal relationship between two separate planes of the plurality of planes; configuring, by the planar file system manager, a storage environment to include a planar file system based on the planar file system configuration request; receiving, from the user interface, a plane operation request to perform an operation on a plane of the planar file system, wherein the plane operation request comprises a plane identifier corresponding to the plane; and performing, based on the plane operation request, the operation on the plane.