Biometric Correlation for Distributed Application Performance
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Solution Overview
Problem
Complex distributed applications face challenges in diagnosing performance issues and allocating resources effectively, as traditional monitoring systems fail to account for user subjective experience, leading to difficulties in identifying which aspects of the application impact end-users and where to focus improvements.
Innovation Solution
Integration of biometric data with system monitoring to correlate psychophysical and objective performance metrics, allowing for proactive alerts and resource allocation based on user biometrics such as heart rate and blood pressure, creating a proactive stress-informed computing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring systems are used to track distributed application performance, then system metrics can be collected, but user subjective experience cannot be measured
Solution Approach 1:
The patent combines traditional objective system monitoring with subjective user experience measurement by integrating biometric sensors and survey tools into the monitoring infrastructure. This merging allows simultaneous collection of both system metrics and user experience data from the same monitoring platform.
Solution Approach 2:
The patent introduces psychophysical performance values as an intermediary metric that bridges objective system measurements and subjective user experience. These values serve as a mediator that translates biometric and survey data into comparable performance metrics that can be correlated with traditional system metrics.
2Adaptability or versatility
If distributed applications are broken into microservices for scalability, then system flexibility and reuse improve, but performance troubleshooting complexity increases
Solution Approach 1:
The patent applies segmentation by breaking down psychophysical performance measurements into service-specific and transaction-specific components. This allows performance issues to be isolated to specific microservices or transactions, making troubleshooting in complex distributed systems more manageable.
Solution Approach 2:
The patent implements feedback mechanisms that correlate user experience measurements with specific services and transactions in the distributed application. This feedback loop enables automatic identification of which microservices are impacting user experience, simplifying performance troubleshooting.
3Productivity
If resources are allocated based on traditional metrics, then infrastructure performance can be optimized, but user experience improvements cannot be targeted
Solution Approach 1:
The patent changes the parameters used for resource allocation by introducing psychophysical performance values as a new dimension for decision-making. Instead of relying solely on traditional infrastructure metrics, resource allocation now considers user experience impact, allowing targeted improvements where they matter most to users.
Data Source
AI summary
Provided is a process including: receiving biometric measurements; receiving from application components or network hosts, events or metrics indicative of objective performance; correlating psychophysical-performance values based on the biometric measurements indicative of psychophysical performance with objective-performance values based on the events or metrics indicative of objective performance; storing the correlation between the psychophysical-performance values and the objective-performance values in memory; and accessing the correlation to select hosts, application components, or routines to be adjusted to improve objective performance of the distributed application or psychophysical performance of the distributed application.