Download Analyzing Computer System Performance with Perl::PDQ by Neil J. Gunther PDF

By Neil J. Gunther

To resolve functionality difficulties in glossy computing infrastructures, frequently comprising millions of servers operating enormous quantities of purposes, spanning a number of degrees, you would like instruments that transcend mere reporting. you would like instruments that permit functionality research of program workflow around the whole company. that is what PDQ (Pretty rattling quickly) offers. PDQ is an open-source functionality analyzer in response to the paradigm of queues. Queues are ubiquitous in each computing surroundings as buffers, and because any software structure may be represented as a circuit of queueing delays, PDQ is a usual healthy for studying process performance.


Building at the good fortune of the 1st version, this significantly improved moment variation now includes 4 elements. half I includes the foundational ideas, in addition to a brand new first bankruptcy that explains the valuable function of queues in winning functionality research. half II offers the fundamentals of queueing thought in a hugely intelligible variety for the non-mathematician; little greater than high-school algebra being required. half III provides many sensible examples of the way PDQ could be utilized. The PDQ guide has been relegated to an appendix partly IV, in addition to ideas to the workouts contained in each one chapter.

Throughout, the Perl code listings were newly formatted to enhance clarity. The PDQ code and updates to the PDQ guide can be found from the author's site at

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Html). 1 Hardware Availability The concept of availability is closely related to reliability, but, since it is a little easier to grasp, we discuss it first. The availability metric is now in widespread use as a way to assess the reliability of commercial computers. The average availability of a computer system can be calculated from the measured uptime command as reported by unix administration tools. (See Chap. 4. A queueing model that incorporates the notions of availability, breakdown and, repair is discussed in Chaps.

7 Failing Big Time Achievable performance can be constrained significantly by poor reliability or lack of stability in a computer system. The importance of this, often ignored, aspect of performance analysis is captured in the time-honored adage, “High performance, high reliability, low cost; pick two! ” On the other hand, those who do recognize its importance have created a hybrid metric called performability to reflect the intimate relationship between performance and reliability. uk/ Risks. One of the most public and tragic examples of miscalculating reliability was the loss of NASA space shuttle Challenger (STS-51-L) and its crew on January 28, 1986 [Gunther 2000a].

Accommodating metastability usually takes the form of imposing a sufficient delay to allow any metastable condition to decay into a known state before being propagated. A required delay can be determined if the MTBF can be calculated. We can use the reliability equations derived earlier to calculate that MTBF. 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].

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