Ravenscar-Java配置文件中可预测的内存利用率

J. Kwon, A. Wellings, S. King
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引用次数: 6

摘要

在本文中,我们从内存利用的角度介绍了Ravenscar-Java配置文件。这种受限制的编程模型删除了开销高、语义复杂的语言特性,在这些特性上很难执行各种静态分析。RTSJ中的几个类得到了改进,并添加了一些新类,所有这些都为开发软件密集型高完整性实时系统提供了一个紧凑但功能强大且可预测的计算模型。我们提供了在使用内存区域和其他可能对内存使用的可预测性产生影响的语言特性方面所做决定的基本原理。在此基础上,讨论了如何开发和有效利用这些分析方法。
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Predictable memory utilization in the Ravenscar-Java profile
In this paper, we present the Ravenscar-Java profile from the perspective of memory utilization. This restricted programming model removes language features with high overheads and complex semantics, on which it is hard to perform various static analyses. Several classes in the RTSJ are refined, and a few new classes are added, which all result in a compact, yet powerful and predictable computational model for the development of software-intensive high integrity real-time systems. We provide rationales behind the decisions we have made on the use of memory areas and other language features that can have an effect on the predictability of memory utilization. After that, some analysis approaches are discussed in terms of how they can be developed and beneficially used.
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