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

By Neil J. Gunther

To resolve functionality difficulties in smooth computing infrastructures, usually comprising millions of servers working enormous quantities of purposes, spanning a number of levels, you wish instruments that transcend mere reporting. you wish instruments that allow functionality research of program workflow around the complete firm. That's what PDQ (Pretty rattling quickly) presents. PDQ is an open-source functionality analyzer in accordance with the paradigm of queues. Queues are ubiquitous in each computing atmosphere as buffers, and because any program structure will be represented as a circuit of queueing delays, PDQ is a ordinary healthy for interpreting approach functionality.   construction at the good fortune of the 1st version, this significantly increased moment variation now includes 4 elements. half I comprises the foundational thoughts, in addition to a brand new first bankruptcy that explains the principal position of queues in winning functionality research. half II offers the fundamentals of queueing idea in a hugely intelligible sort for the non-mathematician; little greater than high-school algebra being required. half III offers many functional examples of ways PDQ may be utilized. The PDQ handbook has been relegated to an appendix partially IV, besides recommendations 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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Extra resources for Analyzing Computer System Performance with Perl::PDQ

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7. RX 10 8 X 6 4 2 RN 0 2 4 6 8 10 X Fig. 7. Apparent independence of throughput and latency for a deterministic (clocked) network Latency and throughput behave as though they are always independent, as long as the objects or packets remain clocked correctly. Notice that under these special circumstances, both the throughput X and the latency R look like straight-line segments. In fact, they look exactly like the dashed lines in 14 1 Why Queues Rule Performance Analysis the southwest corner of the throughput-latency plot in the earlier section on load-test server characteristics.

Instead, the queueing model can be solved for a range of scenarios to gauge what physical sizes are most appropriate for a given application. In other words, we solve the queueing model without any constraints on buffer sizes, and let the queueing model tell us what the optimal buffer sizes ought to be. Finally, although queueing theory may be unfamiliar to you, in some sense it is rather new for all of us. As I write this chapter in 2009, it is the centenary of the seminal queueing theory paper by A.

Unlike much of mathematics, queueing theory is a relatively young science, so in Sect. 7, we provide a short history of buffers. 2 Buffers Are Queues The primary reason for invoking the queueing paradigm is that queues are the correct model of how buffers behave and buffers are a ubiquitous architectural construct in computer systems and applications. J. 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.

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