Purpose Expressions for Resource Matching in PERCos
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Solution Overview
Problem
Current computing technologies fail to efficiently match and provision resources to users' specific purposes, leading to suboptimal resource utilization and user dissatisfaction due to the vastness and complexity of available resources, lacking a systematic approach to identify and align resources with user contexts and objectives.
Innovation Solution
The Purpose Experience Resource Contextual Operating System/Environment (PERCos) facilitates user-purpose alignment by structuring a network of resources with contextual purpose expressions, coherence services, and resource management, enabling users to identify, evaluate, and provision resources that match their specific needs through standardized purpose expressions and Repute quality assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users directly access the vast distributed array of computing resources, then resource availability increases, but user ability to identify and utilize appropriate resources decreases
Solution Approach 1:
The patent introduces purpose expressions as intermediary constructs that mediate between user needs and the vast distributed resource array. These purpose expressions serve as standardized interfaces that translate user objectives into resource-matching criteria, enabling users to access resources without needing to navigate the complexity of the underlying resource distribution. The purpose expression acts as a mediator that bridges the gap between user intent and resource identification.
Solution Approach 2:
The patent segments the monolithic task of resource identification into smaller, manageable components through structured purpose expressions. By breaking down resource selection into discrete purpose statements with specific criteria, the system allows users to address resource needs incrementally rather than attempting to evaluate the entire distributed resource array at once. This segmentation makes the overwhelming task of resource identification tractable.
2Adaptability or versatility
If the computing system provides access to vast arrays of distributed resources, then resource diversity increases, but system complexity increases
Solution Approach 1:
The patent creates a universal purpose expression framework that can handle diverse resource types through a single standardized interface. Rather than requiring separate mechanisms for different resource categories, the purpose expression system provides a multi-functional approach where the same structural framework accommodates various resource types by adjusting the specific purpose criteria. This universality manages complexity by providing a single entry point for resource access regardless of resource diversity.
Solution Approach 2:
The patent manages resource diversity by changing parameters within the purpose expression structure rather than creating fundamentally different systems for different resource types. The purpose expression framework allows flexible parameter adjustment to accommodate diverse resources while maintaining structural consistency. This parameter-based approach enables the system to handle resource diversity without proportionally increasing system complexity.
3Measurement precision
If users attempt to evaluate all available resources to find the best match, then resource matching accuracy improves, but time consumption increases
Solution Approach 1:
The patent applies preliminary action by structuring purpose expressions in advance with predefined criteria and constraints. Rather than evaluating resources ad hoc, users formulate comprehensive purpose statements that pre-establish matching criteria. This preliminary structuring of evaluation criteria enables more efficient resource matching by preparing the evaluation framework before resource assessment begins, reducing the time needed during actual resource selection while maintaining accuracy.
4Productivity
If the system structures resources with contextual purpose expressions, then resource identification efficiency improves, but implementation complexity increases
Solution Approach 1:
The patent enables self-service by designing purpose expressions that are self-descriptive and self-contained. Each purpose expression includes its own criteria, constraints, and matching rules, allowing the system to automatically process and match resources without requiring complex external coordination. This self-service characteristic improves identification efficiency while managing implementation complexity by making each purpose expression independently processable.
Data Source
AI summary
A system, method, and computer-readable storage medium configured to facilitate user purpose in a computing architecture.