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DISTRIBUTION OF TIME INTERVAL BETWEEN SUCCESSIVE INTERRUPT REQUESTS

机译:连续中断请求之间的时间间隔分布

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摘要

In majority of computer systems, the most time-critical tasks are performed by interrupt service routines. In some cases pooling methods are utilized, especially when I/O hardware is not capable of stand-alone operation. When these two approaches are mixed together conflicts are likely. Pooling procedure may not tolerate delays caused by interrupts and interrupt-driven procedures may not be able to wait until pooling driver finishes its job. In various systems some of the time-critical operations can be repeated or skipped, if CPU fails to service them in time. Statistical methods can be used to verify if system performance satisfies requirements. To apply them the distribution function of time interval between two consecutive interrupt requests is calculated on the basis of a simple theoretical model. The model is then verified by empirical measurements.
机译:在大多数计算机系统中,大多数时间紧迫的任务都是由中断服务程序执行的。在某些情况下,尤其是在I / O硬件无法独立运行的情况下,使用池化方法。当这两种方法混合在一起时,可能会发生冲突。池化程序可能无法容忍由中断引起的延迟,并且中断驱动程序可能无法等待池化驱动程序完成其工作。在各种系统中,如果CPU无法及时为它们服务,那么一些时间紧迫的操作可以重复或跳过。可以使用统计方法来验证系统性能是否满足要求。为了应用它们,在一个简单的理论模型的基础上计算了两个连续中断请求之间的时间间隔的分布函数。然后通过经验测量验证模型。

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