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

By Neil J. Gunther

To clear up functionality difficulties in glossy computing infrastructures, usually comprising millions of servers operating thousands of purposes, spanning a number of ranges, you would like instruments that transcend mere reporting. you wish instruments that allow functionality research of software workflow around the complete company. that is what PDQ (Pretty rattling speedy) presents. PDQ is an open-source functionality analyzer in response to the paradigm of queues. Queues are ubiquitous in each computing setting as buffers, and because any software structure might be represented as a circuit of queueing delays, PDQ is a ordinary healthy for examining method performance.

 

Building at the good fortune of the 1st version, this significantly elevated moment version now includes 4 components. half I comprises the foundational strategies, in addition to a brand new first bankruptcy that explains the important function of queues in profitable functionality research. half II offers the fundamentals of queueing idea in a hugely intelligible kind for the non-mathematician; little greater than high-school algebra being required. half III provides many useful examples of ways PDQ could be utilized. The PDQ handbook has been relegated to an appendix partly IV, besides options to the routines contained in every one chapter.

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

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Since the end-toend response time is the accumulation of these component times, it typically belongs to a distribution that is more general than the simple exponential distribution (see Fig. 9 in Chap. 5). The gamma distribution is one example of a more general distribution that can be used to fit end-to-end response time measurements. 1 Gamma Distribution The gamma distribution is a continuous statistical function [Orwant et al. 1999]. pm is available from CPAN. It is also available in other tools such as Excel.

It is also assumed to be irreflexive in that an event preceding itself, A → A, has no meaning in this context. Also, two events are defined to be concurrent if A B and B A. These requirements define a partial ordering on the set of all events {ei }. Only a partial ordering of events is possible at this level since it may not be possible, in general, to say which of A and B occurred first. Lamport [1978] showed how total ordering could be achieved from this partial ordering. We need to establish a total ordering of events for the purposes of synchronization, especially in the case where there is a requirement for consistency of shared data, as there is in any multiprocessor computer system.

Since the end-toend response time is the accumulation of these component times, it typically belongs to a distribution that is more general than the simple exponential distribution (see Fig. 9 in Chap. 5). The gamma distribution is one example of a more general distribution that can be used to fit end-to-end response time measurements. 1 Gamma Distribution The gamma distribution is a continuous statistical function [Orwant et al. 1999]. pm is available from CPAN. It is also available in other tools such as Excel.

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