Design and Optimization of Low Power Persistent Logging System Based on Embedded Linux

Aiming at the demand for reliable storage of logs during the operation of AR/VR and smart glasses devices, this paper designs and implements a persistent logging system based on AOSP logd-persist. The system adopts a multi-threaded production-consumption model, and introduces a file rotation mechanism, a write throttling algorithm and a cache optimization strategy, which significantly reduces power consumption while ensuring system stability. Test results on the Meta Smart Glasses platform show that the architecture saves more than 30 minutes of standby power consumption, improves system debuggability and extends flash memory lifetime. The results show that the logging framework has good engineering utility and platform portability.