基于内存池的应用程序级页面置换算法

摘要

When massive spatial data are processed with computer, the data exchange between external memory and internal memory is one of the key factors affecting the efficiency of system. This paper firstly analyzes the drawbacks of system-level page replacement algorithm, then proposes the concept of application-level page replacement, and also describes in detail its implementation in Windows operating system. This algorithm is validated in face recognition system, the results show that it performs better than the original algorithm in efficiency greatly.%计算机处理海量数据时,内外存数据的交换是影响系统效率的关键因素之一.本文在分析系统级页面置换算法不足的基础上,提出应用程序级页面置换的概念,同时详细介绍其在Windows操作系统下的实现,并在人脸识别系统中对算法进行验证,结果表明本算法执行效率优于原始算法.