Modular Electronic Device Resource Negotiation
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Solution Overview
Problem
Modular electronic devices face challenges in efficiently managing task performance based on the dynamic availability of computing resources from ad hoc combinations of modules and devices, leading to suboptimal task execution due to resource mismatches and lack of real-time resource negotiation.
Innovation Solution
A computer-implemented method and system that identifies computing tasks, determines required resources, senses available resources, and compares them to select and perform tasks autonomously or user-guided, using resource negotiation and priority management to optimize task performance across ad hoc device combinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If modular electronic devices perform tasks without real-time resource negotiation, then device complexity is reduced, but task execution efficiency deteriorates due to resource mismatches
Solution Approach 1:
The patent implements a feedback mechanism where the modular electronic device continuously monitors available computing resources from ad hoc combinations of modules and devices, compares them against required resources for pending tasks, and dynamically adjusts task selection and execution. This closed-loop resource negotiation ensures optimal task performance while adapting to changing resource availability, resolving the contradiction between simplified operation and execution efficiency.
Solution Approach 2:
The system dynamically evaluates and re-evaluates task performance decisions based on real-time resource availability. Instead of static task assignment, the device continuously senses computing resources, updates resource availability information, and recalibrates task execution strategies. This dynamic approach allows the system to optimize task execution efficiency without requiring complex pre-planning, effectively resolving the contradiction between operational simplicity and productivity.
2Productivity
If modular electronic devices dynamically negotiate resources in real-time, then task execution efficiency is improved, but device complexity increases due to resource sensing and negotiation mechanisms
Solution Approach 1:
The modular electronic device performs self-service by autonomously sensing its own available computing resources, evaluating task requirements, and making independent decisions about which tasks to execute. The device negotiates resources with other modules and devices without requiring complex external coordination or centralized control. This self-service approach improves task execution efficiency while limiting complexity growth by distributing intelligence to the individual device level.
Solution Approach 2:
The patent employs a universal resource negotiation framework that can handle multiple task types and resource configurations through a single standardized mechanism. The same resource sensing, evaluation, and selection processes apply regardless of the specific module combination or task nature. This universality allows the system to achieve high task execution efficiency across diverse scenarios without proportionally increasing device complexity, as the same core mechanisms serve multiple functions.
3Ease of operation
If modular electronic devices use static task assignment, then ease of operation is maintained, but adaptability to dynamic resource availability deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-evaluating task requirements and establishing a framework for resource negotiation before actual task execution. The modular electronic device prepares by identifying available computing resources from ad hoc module combinations and creating a structured approach for matching tasks to resources. This preliminary preparation maintains operational simplicity by organizing the complexity in advance, while enabling adaptability when resource availability changes during task execution.
Solution Approach 2:
The patent implements adaptability through parameter changes in the resource evaluation process. The device monitors changes in computing resource availability parameters from different module combinations and adjusts task selection parameters accordingly. When resources become available or unavailable, the system dynamically changes its task assignment parameters to optimize performance. This parameter-based adaptation maintains ease of operation by using standardized adjustment mechanisms while achieving high versatility in responding to dynamic resource conditions.
Data Source
AI summary
The present disclosure provides modular electronic devices that are capable of managing task performance based on a particular context of computing resources currently available from the ad hoc combination of devices.