Analyzing Computer Systems Performance: With Perl: PDQ by Neil J. Gunther

By Neil J. Gunther


The major motivation for this e-book stems from the statement that the folk who such a lot have to know the way to do functionality research are quite often thwarted by way of the quantity of

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12) From this definition, it is clear that the availability metric lies in the range 0 ≤ A ≤ 1. 4. 25 days and was down for 10 h. What is the average availability? 99 . 0% of the time This availability appears satisfactory, but, as we shall see shortly, there are two shortcomings in using an availability metric alone. 0% availability not being a sufficient measure for most production operations. The second shortcoming arises from the multiplicity of up and down times that satisfy the same availability criterion.

Experimental measurements have revealed that the setup window w for the input signal is a function of three parameters: T0 and τ , which are specific to the type of synchronizer technology being used, and the resolution time tr = tc − ts which is a function of the clock period tc and the setup time ts [Kleeman and Cantoni 1987]. The width of the window is given by: w = T0 e− tr/τ . 27) If the asynchronous input signal occurs within w, the output of the synchronizer remains metastable for a period greater than the resolution time tr .

The receipt of this message from p1 generates the second event for process p2 . Using the above rules, process p1 updates its clock from 1 to 2, prior to sending the message, then p1 sends that value along with its message. Prior to receiving the message from p1 , process p2 would have computed its local time to be 2(= 1 + 1). Instead, it calculates the max(2, 2), which in this case produces the same result. Next, according to procedure 2, p2 must now update its own local clock to be 3(= 2 + 1) and finally deliver the message.

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