A Hardware-Assisted Log-Structured File System with Temporal Locality Optimization Under Resource Constraints

With the rapid advancement of IoT devices, there is an increasing demand for MPU environments that are low in overall system resources while achieving low power consumption, high energy efficiency, and high performance. Such systems must be capable of controlling multiple sensors and wireless communication modules on minimal battery power, while retaining several days to weeks of logs even under unstable wireless conditions. In logging applications, sensor data are continuously generated and written to non-volatile memory. However, conventional file systems are not designed to handle these operations efficiently. This is because they generally lack a ring-buffer–based logical interface, and attempting to simultaneously achieve low power consumption, high performance, and power-failure resilience often introduces significant overhead and complexity, ultimately degrading energy efficiency. In short, traditional file systems inherently face trade-offs between power efficiency, functionality, and performance. In typical designs, achieving low power consumption, high performance, and powerfailure resilience without relying on specialized modules or custom hardware components ironically requires more resources—such as CPU cycles, power, circuit size, and component count—leading to increased complexity. Therefore, realizing these properties using only general-purpose resources remains a challenging task.