Enumeration Class Metadata Structure for Distributed Processing Efficiency
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Solution Overview
Problem
Existing computer systems face challenges in efficiently processing and managing enumerations within class definitions, particularly in representing and interacting with enumeration classes in distributed environments, where enumerations are used to define finite sets of named constants with unique values.
Innovation Solution
The implementation involves acquiring and transforming class definitions associated with enumerations into data structures organized as tree-like hierarchies, including nodes for instances and identifiers, and generating metadata to represent these classes, allowing for efficient processing and interaction within a technical computing environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If enumerations are processed in distributed environments using traditional methods, then processing capability is maintained, but processing efficiency and management effectiveness deteriorate
Solution Approach 1:
The patent introduces an intermediary layer (the enumeration processing system with metadata structures) between the distributed components and the enumeration data. This intermediary manages the complexity of enumeration handling by providing standardized interfaces and data structures, thereby improving processing efficiency without increasing the perceived complexity for individual components.
Solution Approach 2:
The patent transforms enumeration data into structured metadata formats with specific parameters and hierarchies. By changing the representation parameters of enumeration data (from simple constants to structured metadata objects with nodes, edges, and relationships), the system achieves more efficient processing and management in distributed environments.
2Productivity
If class definitions with enumerations are transformed into structured data formats, then processing efficiency is improved, but data structure complexity increases
Solution Approach 1:
The patent segments class definitions with enumerations into discrete metadata nodes and relationships. Each enumeration constant, class, and their relationships are broken down into individual metadata objects that can be processed independently, improving efficiency while managing complexity through modular organization.
Solution Approach 2:
The patent adds structural dimensions to enumeration data by organizing it into hierarchical metadata structures with multiple levels (classes, enumerations, constants, relationships). This dimensional organization enables more efficient processing through structured access patterns while containing complexity through clear hierarchical boundaries.
Data Source
AI summary
In an embodiment, a technique for acquiring a class definition of a class, the class associated with an enumeration, the enumeration enumerating a partial list of instances of the class; generating a data structure based on the class definition, the data structure associating one or more identifiers with an instance enumerated in the enumeration; and storing the data structure in a computer storage.