An Optimized Memory Management Algorithm for Realtime Simulation on Linux Operation System

Miao Zhang, Zhiwen Jiang, Yiping Yao, Tianlin Li
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Abstract

As an important branch of simulation technology, realtime hardware-in-the-loop simulation has been widely used in industrial design and equipment testing. The current real-time simulation software is mostly based on proprietary systems or realtime transformation of the Windows system and cannot run in the general Linux system with a large number of users. At the same time, the existing memory management algorithm has low utilization rate and cannot adapt to the needs for a long time simulation. In view of this problem, this paper combines the design method of the existing real-time software to design the real-time simulation framework in Linux environment, and improves the memory management method to meet the needs of largescale and long-term simulation. The experimental results
面向Linux操作系统实时仿真的优化内存管理算法
实时半实物仿真作为仿真技术的一个重要分支,在工业设计和设备测试中得到了广泛的应用。目前的实时仿真软件大多是基于专有系统或Windows系统的实时改造,无法在用户数量庞大的通用Linux系统上运行。同时,现有的内存管理算法利用率低,不能适应长时间仿真的需要。针对这一问题,本文结合现有实时软件的设计方法,设计了Linux环境下的实时仿真框架,并对内存管理方法进行了改进,以满足大规模、长期仿真的需要。实验结果
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