铁路控制系统仿真:作用域内存消耗的动态分析

H. Hamza, S. Counsell
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引用次数: 0

摘要

RTSJ (Java实时规范)中的范围内存管理实现了在使用垃圾收集技术的应用程序中无法找到的可预测性。然而,在开发过程中使用作用域是一项困难的任务。决定适当数量的作用域以及应该将哪些对象或线程分配到其中需要辅助工具。本文介绍了在RTS2.2虚拟机上运行的铁路控制系统仿真。可以在此模拟中实现不同的作用域内存设计模型,以测量每次超时的内存消耗。仿真结果表明,在实现不同的作用域内存模型时,开发人员可以比较和选择最合适的作用域内存设计模型,实现最小的内存占用
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of a Railway Control System: Dynamic Analysis of Scoped Memory Consumption
Scoped memory management in RTSJ (Real-time Specification for Java) achieves a level of predictability not found in applications that use garbage collection techniques. However, using scopes in the development process is a difficult task. Deciding on the appropriate number of scopes and which objects or threads should be allocated into them require assisting tools. This paper presents a simulation of railway control system executed in RTS2.2 virtual machine. Different scoped memory design models can be implemented in this simulation to measure the memory consumption for each overtime. Data obtained by the simulation when different scoped memory models implemented showed that the developer can compare and choose the most appropriate scoped memory design model that achieves the least memory footprint
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