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

By Neil J. Gunther

To clear up functionality difficulties in smooth computing infrastructures, usually comprising hundreds of thousands of servers working enormous quantities of functions, spanning a number of degrees, you would like instruments that transcend mere reporting. you wish instruments that permit functionality research of software workflow around the whole firm. 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 program structure could be represented as a circuit of queueing delays, PDQ is a traditional healthy for studying process performance.


Building at the good fortune of the 1st variation, this significantly accelerated moment version now includes 4 elements. half I comprises the foundational techniques, in addition to a brand new first bankruptcy that explains the primary 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 useful examples of ways PDQ may be utilized. The PDQ handbook has been relegated to an appendix partially IV, in addition to suggestions to the routines contained in each 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 website at

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Then: M T BF A= . 22) M T BF + M T T R In Chap. 2, these notions of breakdown and repair times are revisited within the context of a queueing system known as the repairman model. 5 Distributed Hardware So far, we have only considered the availability of a single component. The component might represent a complete computer or just a computer subsystem. In a distributed computer system there are dependencies and redundancies that impact the availability of the aggregate system. In the simplest cases the components are configured in a chain or in series.

5 Time Distributions 21 $lplace = "Paris"; } if ($zonelocal == $zone{SanFrancisco}) { $lplace = "San Francisco"; } print "Local print "Local print "Remote print "Remote print "Remote $year\n"; position: $lplace\n"; time is $now\n"; position: $rplace\n"; time is $hour:$min:$sec\n"; date is $dayofweek[$wday], $monthnames[$mon] $mday, The output is: Local server in Melbourne Local time is Fri Oct 24 08:06:32 2003 Remote server in San Francisco Remote time is 15:6:32 Remote date is Thursday, Oct 23, 2003 In other words, you do not have to run separate Perlscripts on each server to get the correct local and remote time stamps.

5 could be further decomposed with finer resolution to determine more precisely which network service was responsible for the bottleneck. Such a decomposed timing chain is shown in Fig. 6. In this case, there are probes corresponding to seven links instead of just three. Once again, there cannot be any missing links. The network services link in Fig. 5 has been expanded to become four links: 1. NIC card 30 1 Time—The Zeroth Performance Metric 2. LAN networking 3. Router 4. WAN networking while the server link in Fig.

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