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What are the ideas for optimizing the performance of Android applications? In order to improve the quality of APP products, the most fundamental way is to optimize the performance of Android applications. So, as an APP developer, how should you optimize the performance of Android applications? Generally speaking, we should solve the performance problem of App from four aspects: mobile phone power optimization, interface stutter optimization, memory optimization and network optimization. Next, we will start from the above four aspects to explain the ideas of Android application performance optimization in detail.

1. Optimization of mobile phone power

As people become more and more dependent on mobile devices, mobile phone power optimization has become a top priority in Android application performance optimization. For users, the power loss of App is also an important aspect of user experience. To sum up, the factors affecting the power consumption of Android applications are nothing more than the light and shade of the screen, the switching of device awake,sleep, the operation of CPU, networks and sensors, and so on. Therefore, operations such as those that do not need to interact with the user in a timely manner can be dealt with later. Moreover, the application can schedule jobs while allowing the system to optimize based on memory, power, and connectivity.

2. Interface stutter optimization.

When performing the GC operation, any operation of any thread will need to be paused and wait for the GC operation to complete before other operations can continue to run, so if the program GC frequently, it will naturally lead to interface stutters. Starting from the interface stutter problem, we can try our best to reduce the layout level and complexity, avoid overcomplex layout and over-rendering, and use Layout Inspector for layout optimization.

3. Memory optimization

Common memory problems are as follows: memory leaks, memory jitter, picture Bitmap correlation, code quality and quantity, and so on. In view of the above problems, we can give their own solutions, such as releasing image resources after use, scaling images according to the resolution, and so on. As for memory jitter, the optimization idea is to avoid creating a large number of temporary small objects frequently. The quality of the code itself leads to a large number of memory problems, which can be optimized in terms of total code volume, data structures, data types, and data object references.

4. Network optimization

From the idea of network optimization, we need to reduce the frequency of network data acquisition, which reduces the power consumption of radio and controls the use of electricity. We can also reduce the size of acquired packets, which can reduce traffic consumption, make each request faster, perform well when the network is not good, and improve the user experience. Gzip is also used to compress request and response to reduce the amount of data transmitted, thereby reducing traffic consumption. It is also a good idea to consider using Protocol Buffer instead of JSON. In addition, controlling the size of pictures, network caching, packaging network requests, and so on are all good means of optimization.

This is the end of the explanation on the idea of optimizing the performance of Android applications, and there may be many friends who are not clear about some of the details of the optimization. If you want to learn more about Android application performance optimization, you can learn online in the search-related courses. This course will start with performance testing and analysis tools to help you familiarize yourself with the performance of a variety of common performance problems and design solutions based on a variety of performance problems.

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