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New PDF release: Analyzing Computer System Performance with Perl::PDQ

By Neil J. Gunther

ISBN-10: 3642225829

ISBN-13: 9783642225826

To resolve functionality difficulties in smooth computing infrastructures, usually comprising millions of servers working countless numbers of functions, spanning a number of levels, you would like instruments that transcend mere reporting. you would like instruments that let functionality research of program workflow around the whole firm. That's what PDQ (Pretty rattling speedy) offers. PDQ is an open-source functionality analyzer in line with the paradigm of queues. Queues are ubiquitous in each computing atmosphere as buffers, and because any software structure might be represented as a circuit of queueing delays, PDQ is a traditional healthy for examining process functionality.   construction at the luck of the 1st variation, this significantly accelerated moment version now contains 4 elements. half I comprises the foundational strategies, in addition to a brand new first bankruptcy that explains the important position of queues in winning functionality research. half II presents the fundamentals of queueing thought in a hugely intelligible kind for the non-mathematician; little greater than high-school algebra being required. half III offers many useful examples of ways PDQ might be utilized. The PDQ guide has been relegated to an appendix partially IV, in addition to ideas to the routines contained in every one bankruptcy. all through, 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 website at

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Additional info for Analyzing Computer System Performance with Perl::PDQ

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1917 Erlang presents extensions to his 1909 paper by analyzing the performance of the Internet of his day—the early telephone system. This includes multiple servers or trunk lines with a “waiting room” or buffer (see Sect. 1), as well as multiple servers without a buffer (see Sect. 3). 7 A Brief History of Buffers 19 1917 and the application of queueing theory to computer performance analysis by Allan Scherr in 1967. 127). 127) for the M/G/1 queue. See Chap. 4. 1940 Alan Turing’s electrical-relay bombe was first installed at Bletchley Park to crack the German U-boat Enigma codes during World War II.

1007/978-3-642-22583-3_1, © Springer-Verlag Berlin Heidelberg 2011 3 4 1 Why Queues Rule Performance Analysis All modern computer architectures can be thought of as networks of buffers, and all buffers can be abstracted as queues. 7. Therefore, all computer architectures can be abstracted as networks of queues, and that is precisely what we shall consider in more detail in Chap. 5. Before we embark on any discussion about queueing theory, however, I want to underscore the importance of performance models.

The question naturally arises, how can you determine if your data are Poisson or not? Erlang [1909] was the first to note that incoming telephone calls are exponentially distributed and this led to the development of Markovian queues like M/M/m discussed in Chap. 4. A commonly used statisitcal test for how well data fits a particular distribution is the Chi-square goodness of fit test [Lilja 2000]. One drawback of this technique is that it is not very robust unless the distribution you are fitting is discrete and you have a large number of sample measurements.

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

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