Model based self adaptive behavior language for large scale real time embedded systems

S. Shetty, S. Neema, T. Bapty
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引用次数: 7

Abstract

At Fermi lab, high energy physics experiments require very large number of real time computations. With thousands of processors (around /spl sim/1000 FPGA's, /spl sim/2500 embedded processors, /spl sim/2500 PC's and /spl sim/25,000,000 detector channels) involved in performing event filtering on a trigger farm, there is likely to be a large number of failures within the software and hardware systems. Historically, physicists have developed their own software and hardware for experiments such as BTeV [J.N. Buttler (2002)]. However, their time is best spent working on physics and not software development. The target users of this tool are the physicists. The tool should be user-friendly and the physicists should be able to introduce custom self-adaptive behaviors, since they can best define how the system should behave in fault conditions. The BTeV trigger system is being used as a model for researching tools for defining fault behavior and automatically generating the software. This paper presents a language to define the behaviors and an application scenario for the BTeV system and its expected fault scenarios. These self adaptive system tools are implemented using model integrated computing. The domain specific graphical language (DSL) is implemented within the generic modeling environment (GME) tool, which is a meta-programmable modeling environment developed at Vanderbilt University.
基于模型的大规模实时嵌入式系统自适应行为语言
在费米实验室,高能物理实验需要大量的实时计算。由于在触发场上执行事件过滤涉及数千个处理器(大约/spl sim/1000个FPGA, /spl sim/2500个嵌入式处理器,/spl sim/2500个PC和/spl sim/25,000,000个检测器通道),因此软件和硬件系统中可能会出现大量故障。从历史上看,物理学家已经开发了自己的实验软件和硬件,如BTeV [J.N.男管家(2002)]。然而,他们的时间最好花在物理上,而不是软件开发上。这个工具的目标用户是物理学家。该工具应该是用户友好的,物理学家应该能够引入自定义的自适应行为,因为他们可以最好地定义系统在故障条件下的行为。BTeV触发系统被用作研究故障行为定义工具和自动生成软件的模型。本文提出了一种定义BTeV系统行为和应用场景的语言,以及BTeV系统可能出现的故障场景。这些自适应系统工具采用模型集成计算实现。领域特定的图形语言(DSL)是在通用建模环境(GME)工具中实现的,GME是Vanderbilt大学开发的元可编程建模环境。
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