Edge Power Monitoring for Health And Security State Detection
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Solution Overview
Problem
Existing computing systems face challenges in managing power consumption effectively, leading to undesired operational states and security vulnerabilities due to irregular power requirements caused by malware or other factors, which impact the performance of computer-implemented services.
Innovation Solution
A system and method for managing power consumption by monitoring and analyzing CPU, memory, and network traffic usage to determine operational, health, and security states of edge devices, and taking remedial actions such as constraining, reinitializing, or disabling services to maintain desired operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power consumption monitoring and remedial actions are implemented, then reliability of computer-implemented services is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by establishing baseline power consumption profiles for normal operation before anomalies occur. These baselines are used to proactively detect deviations indicating malware or faults, enabling early remediation before service degradation happens.
Solution Approach 2:
The system implements continuous feedback loops where power consumption metrics are monitored, compared against baselines, and used to trigger automated remedial actions. This closed-loop feedback mechanism maintains reliability by constantly adjusting system state based on observed power patterns.
2Reliability
If detailed power consumption monitoring is performed, then security state detection is improved, but use of energy increases
Solution Approach 1:
The system applies partial monitoring by focusing only on power consumption metrics relevant to security and health detection, rather than comprehensive system monitoring. This selective approach provides sufficient security detection capability while minimizing the energy overhead of the monitoring system itself.
Solution Approach 2:
The monitoring system leverages existing power management infrastructure and metrics that are already being collected for other purposes. By repurposing these existing data streams for security detection, the system avoids duplicating monitoring efforts and reduces additional energy consumption.
3Productivity
If automated remedial actions are taken, then productivity of service provision is improved, but device complexity increases
Solution Approach 1:
The system implements self-service remediation where edge devices automatically detect and correct their own operational issues based on power consumption analysis. This autonomous self-diagnosis and self-correction capability improves service productivity by eliminating manual intervention while keeping the remediation logic relatively simple and localized to each device.
Data Source
AI summary
Methods and systems for managing operation of a deployment are disclosed. The operation may be managed by determining whether an edge device is operating in an undesired manner. The determination may be made by determining a health state and/or a security state of the edge device. The health state and/or the security state may be determined by obtaining at least one power consumption level of the edge device and classifying an operational state of the edge device. If the edge device is determined to be operating in the undesired manner, the operation of the edge device may be remediated to improve a provision of computer implemented services.