Automated Machine Health Monitoring and Plug-in Deployment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current computer network management lacks effective monitoring of machine health, relying on human operators who incur high costs and are prone to errors, leading to potential data loss and user frustration.
Innovation Solution
A system and method for monitoring client machines in real-time or scheduled intervals to detect health risks, generating notifications, and automatically deploying purpose-specific plug-ins to resolve issues when not addressed timely.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human operators are used to monitor machine health, then machine health can be detected and resolved, but operational costs increase and human errors occur
Solution Approach 1:
The system enables machines to self-diagnose and self-report their health status through automated monitoring agents that continuously collect system metrics and compare them against predefined thresholds, eliminating the need for human operators to perform routine health checks
Solution Approach 2:
The patent replaces the mechanical human operator system with an automated electronic monitoring system that uses software agents, algorithms, and communication networks to detect, report, and respond to machine health issues without human intervention
2Reliability
If human operators monitor machines, then problems can be identified, but the investment in human resources increases operational costs
Solution Approach 1:
Machines automatically monitor and report their own health status through embedded monitoring agents that collect system metrics, compare them against thresholds, and generate notifications without requiring human operator time or expertise
Solution Approach 2:
The system creates virtual copies of monitoring functions through software agents that replicate the diagnostic capabilities previously performed by human operators, allowing multiple machines to be monitored simultaneously without proportionally increasing operational costs
3Ease of repair
If human operators respond to machine problems, then issues can be resolved, but mistakes may occur causing data loss
Solution Approach 1:
The system automatically resolves machine health issues by deploying remediation scripts and configurations in response to detected problems, eliminating human error entirely by removing human operators from the repair process
Solution Approach 2:
The monitoring system continuously receives feedback from machine health metrics, compares them against predefined thresholds, and automatically triggers appropriate remediation actions when anomalies are detected, creating a closed-loop system that responds immediately without human intervention
4Extent of automation
If automated monitoring is implemented, then operational costs are reduced, but system complexity increases
Solution Approach 1:
The automated monitoring system is divided into distinct modular components including health monitoring agents, notification services, and remediation modules that can be independently deployed and managed, reducing overall system complexity through functional segmentation
Data Source
AI summary
Systems and methods for maintaining the health of a client machine are provided. One or more trigger specifications, each having pre-defined threshold values representative of desired parameters for optimal operation, may be associated with the client machine. Trigger specifications may be monitored, in real-time or according to a schedule, to ascertain a health status of the client machine. When a threshold value of a trigger specification is exceeded, a health-risk event may be detected on the client machine and a plug-in associated with the trigger specification may be deployed to resolve the detected health-risk event.