Purpose-Driven Resource Matching in Connected Computing OS
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Solution Overview
Problem
Current computing technologies fail to efficiently identify, categorize, evaluate, and provision resources that align with users' specific purposes and contexts, leading to fragmented and inefficient resource utilization.
Innovation Solution
The Purpose Experience Resource Contextual Operating System (PERCos) systematizes resource access and provisioning by using Contextual Purpose Expressions (CPEs) to match user specifications with available resources, employing Coherence services and Repute Quality to Purpose, enabling standardized and purpose-responsive resource identification and provisioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current computing technologies are used for resource access, then basic computing operations can be performed, but resources cannot be efficiently identified, categorized, evaluated, and provisioned according to user purposes and contexts
Solution Approach 1:
The patent introduces a Purpose Experience Resource Contextual Operating System (PERCos) as an intermediary layer between users and computing resources. PERCos employs Contextual Purpose Expressions (CPEs) and Coherence services to mediate resource identification, categorization, evaluation, and provisioning, transforming complex resource management operations into purpose-driven automated processes that improve efficiency without proportionally increasing user-facing complexity
Solution Approach 2:
The system transforms resource management by changing the fundamental parameter from traditional resource attributes to Contextual Purpose Expressions (CPEs). By representing resources and user needs in terms of purposes and contexts rather than static technical specifications, the system enables dynamic matching and evaluation that improves resource utilization efficiency while maintaining manageable system complexity through standardized purpose frameworks
2Adaptability or versatility
If traditional resource provisioning methods are used, then resources can be accessed, but resource allocation does not align with user-specific purposes and contexts
Solution Approach 1:
The patent creates a universal framework for purpose-responsive resource management that can adapt to diverse user purposes and contexts. The Coherence services and Repute Quality to Purpose mechanisms provide multi-functional capabilities that work across different resource types and user scenarios, enabling purpose-specific alignment without requiring separate complex systems for each use case
Solution Approach 2:
The system implements dynamic resource provisioning that adapts to changing user purposes and contexts in real-time. Rather than static resource allocation, PERCos continuously evaluates Contextual Purpose Expressions and adjusts resource provisioning accordingly, enabling high adaptability while managing complexity through automated dynamic decision-making processes
3Measurement precision
If comprehensive resource evaluation is implemented, then resource quality can be assessed, but the evaluation process becomes complex and time-consuming
Solution Approach 1:
The patent implements preliminary action by pre-establishing Coherence services and Repute Quality frameworks that define evaluation criteria and methodologies in advance. These pre-configured mechanisms enable rapid resource evaluation without requiring complex real-time analysis, achieving high measurement precision while minimizing time loss through prepared evaluation infrastructure
Solution Approach 2:
The system employs feedback mechanisms where Repute Quality assessments and Coherence evaluations provide continuous information about resource suitability. This feedback loop enables precise resource evaluation by aggregating multiple quality indicators and using them to guide subsequent resource selection, reducing time loss through informed rapid decision-making
Data Source
AI summary
Systems and methods for purposeful computing are disclosed that, among other things, include enabling an operating system for connected computing configured for identification, evaluation, selection, and/or use of suitable to user purposes' resources to produce outcomes optimized to such purposes' fulfillment. Such resources populate a distributed resource ecosphere and have associated attributes that inform regarding resource suitability.