Biomarker Prioritization for Edge Computing Latency Reduction
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Solution Overview
Problem
In edge computing environments with limited resources, particularly in healthcare settings like IoMT, concurrent requests exceeding processing capacity lead to queuing and degradation in quality of service (latency), posing risks to patient health.
Innovation Solution
A biomarker prioritization method that collects medical device data, identifies relevant biomarkers, associates them with concerned components or models, assigns priorities based on expert-defined, inferred, or registered methods, and generates a schedule for resource processing to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computing resources are increased to handle concurrent requests, then processing capacity improves, but device complexity and cost increase
Solution Approach 1:
The patent changes the parameter of request prioritization by introducing biomarker-based priority levels. Instead of treating all requests equally, the system assigns different priority parameters to requests based on the criticality of their associated biomarkers, allowing efficient resource allocation without increasing overall processing capacity
Solution Approach 2:
The patent segments incoming data requests into different priority queues based on biomarker criticality. High-priority requests (e.g., critical patient monitoring) are separated from low-priority requests (e.g., non-critical telemetry data), enabling the system to process critical requests first without being blocked by less important traffic
2Stability of the object's composition
If requests are queued to manage load, then system stability is maintained, but quality of service degrades due to latency
Solution Approach 1:
The patent implements dynamic request prioritization where priority levels are not fixed but can change based on current system conditions and biomarker criticality. The scheduling algorithm dynamically adjusts which requests are processed first, allowing the system to maintain stability while minimizing latency for time-sensitive requests
Solution Approach 2:
The system uses feedback from biomarker data to continuously adjust request prioritization. When critical biomarkers are detected, the system automatically increases priority for related processing requests, creating a closed-loop control system that responds to actual patient needs rather than following static priorities
3Ease of operation
If all data is processed equally, then fairness is maintained, but critical patient data may experience delays
Solution Approach 1:
The patent applies local quality by treating different types of data requests differently based on their specific characteristics. Critical patient monitoring requests receive higher priority processing, while non-critical requests like routine telemetry receive lower priority, allowing the system to be fair overall while ensuring critical data is handled with urgency
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for biomarker prioritization is provided. The embodiment may include collecting data from a medical device associated with a user. The embodiment may also include identifying, for each type of data, at least one biomarker generated by the medical device associated with the user. The embodiment may further include associating each biomarker with a concerned component and/or a medical model. The embodiment may also include assigning a biomarker priority to a related component. The embodiment may further include generating a schedule for resource processing based on the biomarker priority. The embodiment may also include executing the schedule for resource processing.