By Philipp K. Janert
How will you reap the benefits of suggestions regulate for company programming? With this ebook, writer Philipp okay. Janert demonstrates how an analogous ideas that govern cruise regulate on your vehicle additionally observe to information heart administration and different company platforms. via case reports and hands-on simulations, you are going to study the right way to clear up a number of regulate matters, together with mechanisms to spin up extra servers immediately whilst net site visitors spikes. suggestions is perfect for controlling huge, complicated platforms, yet its use in software program engineering increases distinctive concerns. This ebook presents uncomplicated conception and many useful recommendation for programmers with out past heritage in suggestions keep watch over.
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Extra resources for Feedback Control for Computer Systems: Introducing Control Theory to Enterprise Programmers
Example text
The control problem therefore consists of adjusting the configuration pa‐ rameters in such a way that the monitored metrics fall within the range prescribed by the quality-of-service requirements. As far as the control problem is concerned, the configuration param‐ eters are the variables that we can influence or manipulate directly. They are sometimes called the manipulated variables or simply the (control) inputs. info to influence, and they are occasionally known as the process variables or the (control) outputs.
The open circle forms the sum of all incoming signals. The need for a controller—simply to perform numerical transforma‐ tions—becomes apparent if we consider some examples. info else we need to transform units and numerical values. In the case of the read-through cache, the controller input is a hit rate and so, by construction, a number between 0 and 1 in magnitude. In contrast, the size of the cache is always positive and possibly quite large (hun‐ dreds or thousands of elements). Again, there is (at least) a need to perform a transformation of the numerical values.
We should make the best use of this freedom and make an effort to identify and use those output variables that respond the most quickly to changes in process input. In general, metrics that are calculated as averages or other summaries will tend to respond more slowly than quantities based on individual observations; the same is true for quantities that have been “smoothed” to avoid noise. In fact, it is often better to use a noisy signal directly than to run it through a smoothing filter: The slowdown incurred through the filtering outweighs the benefits of having a smoother sig‐ nal.
