By Neil J. Gunther
To remedy functionality difficulties in glossy computing infrastructures, usually comprising millions of servers operating 1000's of functions, spanning a number of degrees, you would like instruments that transcend mere reporting. you wish instruments that let functionality research of software workflow around the complete company. that is 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 setting as buffers, and because any software structure should be represented as a circuit of queueing delays, PDQ is a typical healthy for interpreting method performance.
Building at the luck of the 1st version, this significantly extended moment variation now contains 4 elements. half I includes the foundational techniques, in addition to a brand new first bankruptcy that explains the primary function of queues in winning 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 sensible examples of ways PDQ could be utilized. The PDQ handbook has been relegated to an appendix partially IV, in addition to suggestions 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 guide can be found from the author's site at www.perfdynamics.com
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Additional info for Analyzing Computer System Performance with Perl::PDQ
1994 Ilkka Norros generalizes the M/M/1 queue length formula to accommodate non-Poisson power law effects: 1 Q= ρ 2(1−H) H , (1 − ρ) (1−H) where the Hurst parameter 0 < H < 1. 9 is a better fit to the Bellcore data [Park and Willinger 2000, Chap. 4]. 1995 Ken Sevcik and Jerry Rolia develop the method of layers. 1997 Sun Microsystems introduces the HotSpot JIT byte-code compiler for Java (cf. Toyota’s Kanban approach to manufacturing in the 1950s). 1997 TeamQuest Corporation introduces TeamQuest Model for unix systems, with proprietary iterative MVA approximation and simulation queuing network solvers.
Log == Ln in Perl.
It’s called the stretch factor, and is expressed in service units. It measures the average queue length relative to the average number of requests that are in service. 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.
Analyzing Computer System Performance with Perl::PDQ by Neil J. Gunther