Alessandro Migale
Configuration and optimization of the operating system running on the infotainment ECU.
Rel. Massimo Violante. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2024
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Abstract
This thesis investigates the optimization of boot performance for the Android Auto 14 operating system. The rapid advancement of automotive technology, particularly in Infotainment systems, demands efficient and reliable performance to enhance user experience and safety. This study focuses on achieving swift startup, crucial for minimizing delays and improving overall system efficiency. The work is divided into several phases: initially, the architecture of infotainment systems and the integration of Android Auto within the Android ecosystem are analyzed. Subsequently, optimization methodologies are explored, with a specific focus on boot time optimization. A practical case study is presented, detailing the setup environment using Raspberry Pi 4 and Android 14, based on the existing project "raspberry-vanilla" on GitHub.
Detailed log analysis using tools like Bootchart and Logcat from Android Studio identified key performance indicators (KPIs) related to boot performance
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