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

By Neil J. Gunther

ISBN-10: 3642225829

ISBN-13: 9783642225826

ISBN-10: 3642225837

ISBN-13: 9783642225833

To clear up functionality difficulties in sleek computing infrastructures, frequently comprising millions of servers operating hundreds of thousands of functions, spanning a number of levels, you would like instruments that transcend mere reporting. you would like instruments that allow functionality research of program workflow around the whole company. that is what PDQ (Pretty rattling fast) presents. PDQ is an open-source functionality analyzer in line with 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 normal healthy for interpreting procedure performance.

Building at the luck of the 1st version, this significantly improved moment variation now contains 4 components. half I includes the foundational strategies, in addition to a brand new first bankruptcy that explains the crucial function of queues in profitable functionality research. half II offers the fundamentals of queueing concept in a hugely intelligible kind for the non-mathematician; little greater than high-school algebra being required. half III provides many functional examples of the way PDQ may be utilized. The PDQ handbook has been relegated to an appendix partially IV, in addition to options 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 handbook can be found from the author's site at

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Extra resources for Analyzing Computer System Performance with Perl::PDQ

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Essentially, it is a measure of how many things are waiting relative to how many things are being serviced. What makes the stretch factor really useful is that it can be compared easily with servicelevel targets. , quotes per hour is a common business unit of work in the insurance industry. The expected service level is called the service-level objective (SLO), and is expressed as multiples of the relevant service unit. An SLO might be documented as the average user response time is not to exceed 15 service units between the peak operating hours of 10 am and 2 pm.

Metric Xmax XN Xlin Rlin RN Rmin N Fig. 5. 1) is: R(N ) = N −Z X(N ) and includes the think time Z. Find out more in Sect. 4 Bandwidth and Latency Are Related 11 representing the number of virtual users or client-side processes. All load-test throughput curves have this general concave shape and all latency curves have the complementary convex shape. These curves are what you should always expect to see. If certain data do not conform to these shapes, it doesn’t necessarily mean those data are wrong, but someone does have a lot of explaining to do.

Pl. 2 generates exponential variates using a robust pseudo-random number generator. 10 Performance Measurement Standards Some performance management standards [see Gunther 2000a, Chap. 2. Exponential variate generator #! 0)); } sub exp_variate { # Return an exponential variate. # log == Ln in Perl.

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

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