Record ID | marc_loc_2016/BooksAll.2016.part39.utf8:162541281:1538 |
Source | Library of Congress |
Download Link | /show-records/marc_loc_2016/BooksAll.2016.part39.utf8:162541281:1538?format=raw |
LEADER: 01538cam a22002897a 4500
001 2011934511
003 DLC
005 20130418101349.0
008 110718s2011 gw a f b 001 0 eng d
010 $a 2011934511
020 $a9783642225826 (hardback)
020 $a3642225829 (hardback)
035 $a(OCoLC)ocn760298103
040 $aNz$cUW1$dSAI$dDLC
042 $alccopycat
050 00 $aQA76.9.E94$bG87 2011
082 04 $a004.24$223
100 1 $aGunther, Neil J.,$d1950-
245 10 $aAnalyzing computer system performance with PERL :$b:PDQ /$cNeil J. Gunther.
250 $a2nd ed.
260 $aHeidelberg, [Germany] ;$aLondon :$bSpringer,$cc2011.
300 $axviii, 474 p. :$bill. ;$c25 cm.
504 $aIncludes bibliographical references (p. [457]-464) and index.
505 0 $aPart I. Preliminary concepts. 1. Why queues rule performance analysis ; 2. Measurement tools and techniques ; 3. Time - the zeroth performance metric -- Part II. Basic queueing theory for PDQ. 4. Getting the jump on queueing ; 5. Queueing systems for computer systems ; 6. Linux load average ; 7. Performance bounds and log jams -- Part III. Practical application of PDQ. 8. Pretty damn quick - a slow introduction ; 9. Multicomputer analysis with PDQ ; 10. How to scale an elephant with PDQ ; 11. Client/server analysis with PDQ ; 12. Web application analysis with PDQ ; 13. Virtual machine analysis with PDQ.
650 0 $aComputer systems$xEvaluation.
650 0 $aComputer systems$xReliability.
650 0 $aPerl (Computer program language)