So, optimizations performed by the meting is considered as greater than the automotive software due to the constraint of embedded system. Here is an example how I have optimized Android based in-vehicle infotainment system to reduce the resource consumption. I was working on the Android based IV system running on the SoC platform with multiple displays. The system needed to perform efficiently to provide the smooth user experience, minimize latency and ensure low power consumption of the operating functionality. So, in the optimization process, did the profiling and identification, identifying bottlenecks, performance profiling, used the performance profiling tools in the Android Studio profile. The system trace is perfect to identify the bottlenecks in the system. Resource monitoring. So, monitor the CPU usage, memory consumption, CPU usage and power consumption to pinpoint the area of high resource usage. Optimize CPU usage. Thread banishment. Identify the multiple taskbars. Running the main MIUI thread. Calculate the latency of loading and transfer tasks. The background thread using the same task. Then handle threads and execute the service. Then efficient coding practice. Be practical to avoid unnecessary computations and loops. Efficient data structure and algorithm to reduce the CPU overhead. Reduced memory consumption. So, for memory leak use the tools like leak canning to detect and fix the memory leaks Proper life cycle management of activity and fragmenting of the loading. Reference unnecessary. Bitmap. Then bitmap optimization. Optimize the MIUI's loading by resizing the bitmap. Recoil the time machines using the bitfactory options in the Caspian. Low cache to store frequently used bitmap. Then functionality. Review performance. UI and ring surface view. Optimize the IO operations. Power optimization with power profiling. Use the battery status and battery history to monitor the power. Power handling component. Optimize the user's wake logs. Handle the wake logs. Remember the user's wake logs to ensure that they respond promptly to avoid draining the battery. So, after the implementation of this optimization, the IBIS system demonstrated a significant improvement in the performance. The user's CPU uses low memory consumption, hence the relative performance. Improved the power efficiency.
