基子遗传算法的自适应Linux内存管理系统研究

Research on adaptive Linux memory management system based on genetic algorithms

本文针对Linux内存管理系统的重要算法与相应参数在不同系统环境下对整个系统和其它应用程序性能的影响，提出了在内存管理系统裹增加一个基于遗传算法的自适应内存管理系统参数调整功能。当操作系统的状态发生重大改变时，使用遗传算法将它们转换为相应的参数调整策略，然后在适当的时候对系统参数进行调整，从而达到改善系统性能的目标。

In this paper, the influence of the important algorithms and parameters of the Linux MMS on system and applications in different system environments are classified and analyzed. Meanwhile a new function of using genetic algorithms to adjust parameters is introduced. When the states of Linux MMS change, the algorithm can dynamically make the strategies of adjusting the relative parameters, and then adjust the relative parameters at the fight time, which will improve the efficiency of the system.