A professional, technical guide to diagnosing Android system performance, understanding the Linux kernel scheduler, and identifying the root causes of lag and battery drain.
Most Android "optimization" guides focus on placebos: clearing cache, killing background apps, or installing "performance modules."
This repository takes a Systems Engineering approach. We analyze the Android OS at the kernel level to understand:
- What "Load Average" actually means (hint: it's not just CPU usage).
- Why your phone lags even when the CPU is idle (I/O Wait).
- How to scientifically prove which app is causing battery drain using tracing tools.
Stop guessing. Learn the difference between CPU Usage, Run Queues, and Uninterruptible Sleep (D-State). This is the foundation of all diagnostics.
Master the command line. A deep dive into uptime, top, vmstat, and dumpsys cpuinfo. Learn how to read the kernel's vitals with zero overhead.
From enthusiast apps like Scene and Franco Kernel Manager to professional engineering tools like Perfetto and Systrace. Visualize the stutter.
Why flashing a custom kernel might be hurting your performance. An analysis of Energy Aware Scheduling (EAS), out-of-tree drivers, and the stability risks of "overclocking."
If you have root access (su), run this command to see your system's heartbeat immediately:
# View 1min, 5min, 15min load averages
su -c uptimeIf the first number is higher than your CPU core count (e.g., > 8.0 on an octa-core device), your system is saturated.
To see what is causing it (sorted by CPU usage):
su -c top -m 10 -s cpuJoin our community for high-level discussions on Android internals, optimization, and development.
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This repository is licensed under the MIT License. feel free to fork, contribute, and share.