Guerilla capacity planning: a tactical approach to planning for highly scalable applications and services
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| Format: | Book |
| Language: | English |
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Berlin [u.a.]
Springer
2007
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| Physical Description: | XIX, 251 S graph. Darst. 1 Beil. |
| ISBN: | 3540261389 9783540261384 |
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| 100 | 1 | |a Gunther, Neil J. |d 1950- |e Verfasser |0 (DE-588)173080030 |4 aut | |
| 245 | 1 | 0 | |a Guerilla capacity planning |b a tactical approach to planning for highly scalable applications and services |c Neil J. Gunther |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2007 | |
| 300 | |a XIX, 251 S |b graph. Darst. |e 1 Beil. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Computer capacity |x Planning | |
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| 689 | 0 | 0 | |a Kapazitätsplanung |0 (DE-588)4120544-3 |D s |
| 689 | 0 | 1 | |a Angriffsstrategie |0 (DE-588)4391587-5 |D s |
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| _version_ | 1804135366901366784 |
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| adam_text | CONTENTS
PREFACE
........................................................
VII
1 WHAT IS GUERRILLA CAPACITY PLANNING?
.....................
1
1.1 INTRODUCTION ............................................ 1
1.2 WHYMANAGEMENTRESISTSCAPACITYPLANNING ............... 1
1.2.1 RISKMANAGEMENTVS.RISKPERCEPTION................ 2
1.2.2 INSTRUMENTATIONJUSTCAUSESBUGS................... 3
1.2.3 ASLONGASITFAILSONTIME ........................ 4
1.2.4 CAPACITYMANAGEMENTASA HOMUNCULUS.............. 5
1.3 GUERRILLAVS.GORILLA ..................................... 6
1.3.1 NOCOMPASSREQUIRED ............................. 7
1.3.2 MODELINGISNOTLIKEA MODELRAILWAY............... 8
1.3.3 MORELIKEA MAPTHANTHEMETRO ................... 8
1.4 TACTICALPLANNINGASA WEAPON............................ 9
1.4.1 SCALABILITYBYSPREADSHEET.......................... 10
1.4.2 A LOTFROMLITTLE................................. 11
1.4.3 FORECASTINGONTHEFLY ............................. 13
1.4.4 GUERRILLAGUIDELINES ............................... 14
1.5 SUMMARY............................................... 16
2 ITIL FOR GUERRILLAS
........................................
17
2.1 INTRODUCTION ............................................ 17
2.2 ITILBACKGROUND........................................ 17
2.2.1 BUSINESSPERSPECTIVE............................... 19
2.2.2 CAPACITYMANAGEMENT ............................. 21
2.3 THEWHEELOFCAPACITYMANAGEMENT....................... 21
2.3.1 TRADITIONALCAPACITYPLANNING ...................... 21
2.3.2 RUNNINGONTHERIM............................... 23
2.3.3 GUERRILLARACINGWHEEL ............................ 24
2.4 SUMMARY............................................... 25
XIV CONTENTS
3 DAMAGING DIGITS IN CAPACITY CALCULATIONS
.................
27
3.1 INTRODUCTION ............................................ 27
3.2 SIGNIFICANTDIGITS........................................ 28
3.2.1 ACCURACY......................................... 28
3.2.2 PRECISION......................................... 29
3.3 SIFTINGFORSIGDIGS....................................... 30
3.3.1 COUNTBYZEROS ................................... 30
3.3.2 SIGNIFICANCEANDSCALE.............................. 32
3.4 ROUNDINGRULES ......................................... 32
3.4.1 GOLDENRULE...................................... 34
3.4.2 SUMRULE ........................................ 34
3.4.3 PRODUCTRULE ..................................... 34
3.5 PLANNINGWITHDOLLARSANDSENSE.......................... 35
3.5.1 COSTMETRIC ...................................... 35
3.5.2 SIGNIFICANTDIGITS.................................. 36
3.6 EXPRESSINGERRORS ....................................... 37
3.6.1 ABSOLUTEERROR.................................... 37
3.6.2 RELATIVEERROR .................................... 37
3.6.3 STANDARDDEVIATION................................ 37
3.6.4 STANDARDERROR.................................... 38
3.6.5 ERRORBARS........................................ 38
3.6.6 INSTRUMENTATIONERROR ............................. 39
3.7 INTERVALARITHMETIC ...................................... 39
3.8 SUMMARY............................................... 40
4 SCALABILITY*A QUANTITATIVE APPROACH
.....................
41
4.1 INTRODUCTION ............................................ 41
4.2 FUNDAMENTALCONCEPTSOFSCALING.......................... 41
4.2.1 GEOMETRICSCALING................................. 42
4.2.2 ALLOMETRICSCALING................................. 43
4.2.3 CRITICALSIZE ...................................... 44
4.2.4 SIZINGEXAMPLES................................... 45
4.3 HARDWARESCALABILITY..................................... 47
4.3.1 IDEALPARALLELISM .................................. 48
4.3.2 AMDAHL*SLAW .................................... 49
4.3.3 MULTIUSERSCALEUP ................................. 52
4.3.4 SERIAL-PARALLELDUALITY ............................. 55
4.3.5 SCALEDSPEEDUP ................................... 56
4.4 UNIVERSALSCALABILITYMODEL............................... 56
4.4.1 THEROLEOFCOHERENCY............................. 58
4.5 OTHERSCALABILITYMODELS ................................. 63
4.5.1 GEOMETRICMODEL.................................. 63
4.5.2 QUADRATICMODEL.................................. 63
4.5.3 EXPONENTIALMODEL ................................ 64
4.6 MULTICORESANDCLUSTERS .................................. 66
CONTENTS XV
4.7 SUMMARY............................................... 68
5 EVALUATING SCALABILITY PARAMETERS
.........................
71
5.1 INTRODUCTION ............................................ 71
5.2 BENCHMARKMEASUREMENTS................................ 72
5.2.1 THEWORKLOAD .................................... 72
5.2.2 THEPLATFORM ..................................... 74
5.2.3 THEPROCEDURE.................................... 75
5.3 MINIMALDATASET ........................................ 75
5.3.1 INTERPOLATINGPOLYNOMIAL ........................... 76
5.3.2 REGRESSIONPOLYNOMIAL ............................. 76
5.4 CAPACITYRATIOS......................................... 77
5.5 TRANSFORMINGTHESCALABILITYEQUATION ..................... 77
5.5.1 EFFICIENCY ........................................ 78
5.5.2 DEVIATIONFROMLINEARITY........................... 78
5.5.3 TRANSFORMATIONOFVARIABLES ........................ 79
5.5.4 PROPERTIESOFTHEREGRESSIONCURVE .................. 80
5.6 REGRESSIONANALYSIS...................................... 82
5.6.1 QUADRATICPOLYNOMIAL.............................. 82
5.6.2 PARAMETERMAPPING ............................... 83
5.6.3 INTERPRETING THE SCALABILITY PARAMETERS ............... 85
5.6.4 ERRORREPORTING................................... 86
5.7 LESSTHANA FULLDECK ................................... 87
5.7.1 SPARSEEVENDATA ................................. 88
5.7.2 SPARSEUNEVENDATA ............................... 90
5.7.3 MISSING
X
(1)DATUM .............................. 91
5.8 SUMMARY............................................... 94
6 SOFTWARE SCALABILITY
........................................
97
6.1 INTRODUCTION ............................................ 97
6.2 AMDAHL*SLAWFORSOFTWARE ............................... 98
6.3 UNIVERSALSOFTWARESCALABILITY.............................100
6.4 CONCURRENTPROGRAMMINGANDCOHERENCY...................102
6.5 UNIXMULTITASKINGAPPLICATION ...........................103
6.5.1 THEWORKLOAD ....................................103
6.5.2 THEPLATFORM .....................................104
6.5.3 REGRESSIONANALYSIS................................104
6.6 WINDOWS-BASEDAPPLICATIONS .............................107
6.6.1 THEWORKLOAD ....................................107
6.6.2 THEPLATFORM .....................................108
6.6.3 REGRESSIONANALYSIS................................109
6.7 MULTITIERARCHITECTURES...................................110
6.7.1 THEWORKLOAD ....................................111
6.7.2 THEPLATFORM .....................................111
6.7.3 REGRESSIONANALYSIS................................112
XVI CONTENTS
6.7.4 WHYITWORKS ....................................114
6.8 CLASSIFICATIONBYWORKLOAD................................115
6.9 SUMMARY...............................................116
7 FUNDAMENTALS OF VIRTUALIZATION
............................
117
7.1 INTRODUCTION ............................................117
7.2 THESPECTRUMOFVIRTUALMACHINES ........................118
7.2.1 VMSPECTROSCOPY .................................118
7.2.2 POLLINGRATESANDFREQUENCYSCALES..................119
7.3 MICROLEVELVIRTUALMACHINES:HYPERTHREADING ...............119
7.3.1 MICRO-VM POLLING .................................122
7.3.2 THREADEXECUTIONANALYSIS .........................123
7.3.3 MISSINGMIPSEXPLAINED ...........................124
7.3.4 WINDOWS 2000 PRODUCTION SERVER ....................126
7.3.5 GUERRILLACAPACITYPLANNING ........................127
7.4 MESOLEVELVIRTUALMACHINES:HYPERVISORS ...................127
7.4.1 FAIR-SHARESCHEDULING..............................129
7.4.2 MESO-VM POLLING ..................................132
7.4.3 VMWARESHAREALLOCATIONANALYSIS..................134
7.4.4 J2EEWEBLOGICPRODUCTIONAPPLICATION..............135
7.4.5 VMWARESCALABILITYANALYSIS .......................137
7.4.6 GUERRILLACAPACITYPLANNING ........................138
7.5 MACROLEVELVIRTUALMACHINES:HYPERNETS....................138
7.5.1 MACRO-VMPOLLING.................................139
7.5.2 BANDWIDTHSCALABILITYANALYSIS .....................140
7.5.3 REMOTEPOLLINGRATES..............................141
7.5.4 GUERRILLACAPACITYPLANNING ........................142
7.6 SUMMARY...............................................142
8 WEB SITE PLANNING
.........................................
143
8.1 INTRODUCTION ............................................143
8.2 ANALYSISOFDAILYTRAFFIC..................................144
8.2.1 THECAMELANDTHEDROMEDARY .....................144
8.2.2 UNIMODALBUTBICOASTAL ............................146
8.3 EFFECTIVEDEMAND .......................................148
8.3.1 MODELINGASSUMPTIONS.............................149
8.3.2 STATISTICALAPPROACH...............................149
8.4 SELECTINGSTATISTICALTOOLS ................................150
8.4.1 SPREADSHEETPROGRAMMING..........................150
8.4.2 ONLINESUPPORT ...................................150
8.5 PLANNINGFORDATACOLLECTION..............................151
8.5.1 COMMERCIALCOLLECTORS:USEITORLOSEIT .............151
8.5.2 BREWINGINTHEBACKGROUND.........................151
8.6 SHORT-TERMCAPACITYPLANNING............................152
8.6.1 MULTIVARIATEREGRESSIONOFDAILYDATA................152
CONTENTS XVII
8.6.2 AUTOMATIONUSINGSPREADSHEETMACROS...............153
8.7 LONG-TERMCAPACITYPLANNING ............................155
8.7.1 NONLINEARREGRESSIONOFWEEKLYDATA ................155
8.7.2 PROCUREMENTCURVES...............................156
8.7.3 ESTIMATINGSERVERSCALABILITY .......................157
8.7.4 CALCULATINGCAPACITYGAINS.........................158
8.7.5 ESTIMATINGTHEDOUBLINGPERIOD.....................161
8.8 SUMMARY...............................................162
9 GARGANTUAN COMPUTING*GRIDS AND P2P
.................
165
9.1 INTRODUCTION ............................................165
9.2 GRIDSVS.P2P .........................................166
9.3 ANALYSISOFGNUTELLA .....................................167
9.4 TREETOPOLOGIES .........................................168
9.4.1 BINARYTREE ......................................169
9.4.2 ROOTEDTREE ......................................169
9.4.3 CAYLEYTREE ......................................169
9.5 HYPERNETTOPOLOGIES.....................................169
9.5.1 HYPERCUBE .......................................170
9.5.2 HYPERTORUS .......................................170
9.6 CAPACITYMETRICS ........................................170
9.6.1 NETWORKDIAMETER.................................170
9.6.2 TOTALNODES ......................................171
9.6.3 PATHLENGTH......................................171
9.6.4 INTERNALPATHLENGTH ..............................171
9.6.5 AVERAGEHOPDISTANCE .............................171
9.6.6 NETWORKLINKS ....................................172
9.6.7 NETWORKDEMAND..................................172
9.6.8 PEERDEMAND .....................................172
9.6.9 BANDWIDTH .......................................173
9.7 RELATIVEBANDWIDTH......................................173
9.7.1 CAYLEYTREES......................................173
9.7.2 TREESANDCUBES ..................................174
9.7.3 CUBESANDTORI ...................................175
9.7.4 RANKEDPERFORMANCE...............................176
9.8 SUMMARY...............................................176
10 INTERNET PLANNING
..........................................
179
10.1 INTRODUCTION ............................................179
10.2 BELLCORETRACES..........................................180
10.3 FRACTALSANDSELF-SIMILARITY ...............................182
10.4 FRACTALSINTIME.........................................186
10.4.1 SHORT-RANGEDEPENDENCE...........................186
10.4.2 LONG-RANGEDEPENDENCE ...........................188
10.5 IMPACTONBUFFERSIZING ..................................190
XVIII CONTENTS
10.5.1 CONVENTIONALBUFFERSIZING..........................190
10.5.2 LRDBUFFERSIZING.................................192
10.6 NEWDEVELOPMENTS ......................................193
10.6.1 ETHERNETPACKETIZATION.............................194
10.6.2 LRDANDFLICKERNOISE.............................196
10.7 SUMMARY...............................................197
11 GOING GUERRILLA*A CASE STUDY
...........................
199
11.1 INTRODUCTION ............................................199
11.2 GUERRILLAMONITORINGPHASE...............................199
11.3 THEBASICSOLUTION ......................................201
11.3.1 IMPLEMENTATIONDETAILS ............................202
11.3.2 ORCAOUTPUTEXAMPLES ............................203
11.3.3 ROUND-ROBINDATABASE ............................203
11.4 EXTENDINGTHEBASICSOLUTION .............................206
11.4.1 MAINFRAMEDATAPROCESSING.........................206
11.4.2 GUERRILLAPLANNINGPHASE...........................207
11.4.3 MONITORINGWITHORCALERTS........................208
11.5 FUTUREDEVELOPMENTS ....................................209
11.6 SUMMARY...............................................210
APPENDIX
A AMDAHL AND THE REPAIRMAN
...............................
213
A.1 REPAIRMANQUEUEINGMODEL ..............................213
A.2 AMDAHL*SLAWFORPARALLELSUBTASKS........................214
A.2.1 SINGLETASK.......................................215
A.2.2 TWOSUBTASKS.....................................215
A.2.3 MULTIPLESUBTASKS .................................215
A.3 AMDAHL*SLAWFORCONCURRENTMULTITASKS...................217
A.4 NOTEONNELSON*SAPPROACH...............................217
B MATHEMATICA EVALUATION OF NUMA PARAMETERS
............
219
B.1 MATHEMATICAPACKAGES ...................................219
B.2 IMPORTTHEDATA ........................................219
B.3 TABULATETHEDATA.......................................220
B.4 PLOTNORMALIZEDDATA....................................220
B.5 NONLINEARREGRESSION.....................................221
B.6 ANOVAREPORT.........................................221
B.7 MAXIMALCPUCONFIGURATION..............................222
B.8 PLOTOFREGRESSIONMODEL.................................222
CONTENTS XIX
C ABBREVIATIONS AND UNITS
...................................
223
C.1 SIPREFIXES..............................................223
C.2 TIMESUFFIXES ...........................................223
C.3 CAPACITYSUFFIXES........................................224
D PROGRAMS FOR CHAPTER 3
...................................
225
D.1 DETERMINESIGDIGSINVBA ...............................225
D.2 DETERMINESIGDIGSINMATHEMATICA ........................226
D.3 DETERMINESIGDIGSINPERL ................................227
E PROGRAMS FOR CHAPTER 8
...................................
229
E.1 EXAMPLEDATAEXTRACTORINPERL...........................229
E.2 VBA MACRO FOR CALCULATING U
EFF
...........................231
F THE GUERRILLA MANUAL
.....................................
235
F.1 WEAPONSOFMASSINSTRUCTION..............................235
F.2 CAPACITYMODELINGRULESOFTHUMB........................238
F.3 SCALABILITYONA STICK ....................................240
F.3.1 UNIVERSALLAWOFCOMPUTATIONALSCALING .............240
F.3.2 AREASOFAPPLICABILITY..............................241
F.3.3 HOWTOUSEIT.....................................241
BIBLIOGRAPHY
...................................................
243
INDEX
..........................................................
249
|
| adam_txt |
CONTENTS
PREFACE
.
VII
1 WHAT IS GUERRILLA CAPACITY PLANNING?
.
1
1.1 INTRODUCTION . 1
1.2 WHYMANAGEMENTRESISTSCAPACITYPLANNING . 1
1.2.1 RISKMANAGEMENTVS.RISKPERCEPTION. 2
1.2.2 INSTRUMENTATIONJUSTCAUSESBUGS. 3
1.2.3 ASLONGASITFAILSONTIME . 4
1.2.4 CAPACITYMANAGEMENTASA HOMUNCULUS. 5
1.3 GUERRILLAVS.GORILLA . 6
1.3.1 NOCOMPASSREQUIRED . 7
1.3.2 MODELINGISNOTLIKEA MODELRAILWAY. 8
1.3.3 MORELIKEA MAPTHANTHEMETRO . 8
1.4 TACTICALPLANNINGASA WEAPON. 9
1.4.1 SCALABILITYBYSPREADSHEET. 10
1.4.2 A LOTFROMLITTLE. 11
1.4.3 FORECASTINGONTHEFLY . 13
1.4.4 GUERRILLAGUIDELINES . 14
1.5 SUMMARY. 16
2 ITIL FOR GUERRILLAS
.
17
2.1 INTRODUCTION . 17
2.2 ITILBACKGROUND. 17
2.2.1 BUSINESSPERSPECTIVE. 19
2.2.2 CAPACITYMANAGEMENT . 21
2.3 THEWHEELOFCAPACITYMANAGEMENT. 21
2.3.1 TRADITIONALCAPACITYPLANNING . 21
2.3.2 RUNNINGONTHERIM. 23
2.3.3 GUERRILLARACINGWHEEL . 24
2.4 SUMMARY. 25
XIV CONTENTS
3 DAMAGING DIGITS IN CAPACITY CALCULATIONS
.
27
3.1 INTRODUCTION . 27
3.2 SIGNIFICANTDIGITS. 28
3.2.1 ACCURACY. 28
3.2.2 PRECISION. 29
3.3 SIFTINGFORSIGDIGS. 30
3.3.1 COUNTBYZEROS . 30
3.3.2 SIGNIFICANCEANDSCALE. 32
3.4 ROUNDINGRULES . 32
3.4.1 GOLDENRULE. 34
3.4.2 SUMRULE . 34
3.4.3 PRODUCTRULE . 34
3.5 PLANNINGWITHDOLLARSANDSENSE. 35
3.5.1 COSTMETRIC . 35
3.5.2 SIGNIFICANTDIGITS. 36
3.6 EXPRESSINGERRORS . 37
3.6.1 ABSOLUTEERROR. 37
3.6.2 RELATIVEERROR . 37
3.6.3 STANDARDDEVIATION. 37
3.6.4 STANDARDERROR. 38
3.6.5 ERRORBARS. 38
3.6.6 INSTRUMENTATIONERROR . 39
3.7 INTERVALARITHMETIC . 39
3.8 SUMMARY. 40
4 SCALABILITY*A QUANTITATIVE APPROACH
.
41
4.1 INTRODUCTION . 41
4.2 FUNDAMENTALCONCEPTSOFSCALING. 41
4.2.1 GEOMETRICSCALING. 42
4.2.2 ALLOMETRICSCALING. 43
4.2.3 CRITICALSIZE . 44
4.2.4 SIZINGEXAMPLES. 45
4.3 HARDWARESCALABILITY. 47
4.3.1 IDEALPARALLELISM . 48
4.3.2 AMDAHL*SLAW . 49
4.3.3 MULTIUSERSCALEUP . 52
4.3.4 SERIAL-PARALLELDUALITY . 55
4.3.5 SCALEDSPEEDUP . 56
4.4 UNIVERSALSCALABILITYMODEL. 56
4.4.1 THEROLEOFCOHERENCY. 58
4.5 OTHERSCALABILITYMODELS . 63
4.5.1 GEOMETRICMODEL. 63
4.5.2 QUADRATICMODEL. 63
4.5.3 EXPONENTIALMODEL . 64
4.6 MULTICORESANDCLUSTERS . 66
CONTENTS XV
4.7 SUMMARY. 68
5 EVALUATING SCALABILITY PARAMETERS
.
71
5.1 INTRODUCTION . 71
5.2 BENCHMARKMEASUREMENTS. 72
5.2.1 THEWORKLOAD . 72
5.2.2 THEPLATFORM . 74
5.2.3 THEPROCEDURE. 75
5.3 MINIMALDATASET . 75
5.3.1 INTERPOLATINGPOLYNOMIAL . 76
5.3.2 REGRESSIONPOLYNOMIAL . 76
5.4 CAPACITYRATIOS. 77
5.5 TRANSFORMINGTHESCALABILITYEQUATION . 77
5.5.1 EFFICIENCY . 78
5.5.2 DEVIATIONFROMLINEARITY. 78
5.5.3 TRANSFORMATIONOFVARIABLES . 79
5.5.4 PROPERTIESOFTHEREGRESSIONCURVE . 80
5.6 REGRESSIONANALYSIS. 82
5.6.1 QUADRATICPOLYNOMIAL. 82
5.6.2 PARAMETERMAPPING . 83
5.6.3 INTERPRETING THE SCALABILITY PARAMETERS . 85
5.6.4 ERRORREPORTING. 86
5.7 LESSTHANA FULLDECK . 87
5.7.1 SPARSEEVENDATA . 88
5.7.2 SPARSEUNEVENDATA . 90
5.7.3 MISSING
X
(1)DATUM . 91
5.8 SUMMARY. 94
6 SOFTWARE SCALABILITY
.
97
6.1 INTRODUCTION . 97
6.2 AMDAHL*SLAWFORSOFTWARE . 98
6.3 UNIVERSALSOFTWARESCALABILITY.100
6.4 CONCURRENTPROGRAMMINGANDCOHERENCY.102
6.5 UNIXMULTITASKINGAPPLICATION .103
6.5.1 THEWORKLOAD .103
6.5.2 THEPLATFORM .104
6.5.3 REGRESSIONANALYSIS.104
6.6 WINDOWS-BASEDAPPLICATIONS .107
6.6.1 THEWORKLOAD .107
6.6.2 THEPLATFORM .108
6.6.3 REGRESSIONANALYSIS.109
6.7 MULTITIERARCHITECTURES.110
6.7.1 THEWORKLOAD .111
6.7.2 THEPLATFORM .111
6.7.3 REGRESSIONANALYSIS.112
XVI CONTENTS
6.7.4 WHYITWORKS .114
6.8 CLASSIFICATIONBYWORKLOAD.115
6.9 SUMMARY.116
7 FUNDAMENTALS OF VIRTUALIZATION
.
117
7.1 INTRODUCTION .117
7.2 THESPECTRUMOFVIRTUALMACHINES .118
7.2.1 VMSPECTROSCOPY .118
7.2.2 POLLINGRATESANDFREQUENCYSCALES.119
7.3 MICROLEVELVIRTUALMACHINES:HYPERTHREADING .119
7.3.1 MICRO-VM POLLING .122
7.3.2 THREADEXECUTIONANALYSIS .123
7.3.3 MISSINGMIPSEXPLAINED .124
7.3.4 WINDOWS 2000 PRODUCTION SERVER .126
7.3.5 GUERRILLACAPACITYPLANNING .127
7.4 MESOLEVELVIRTUALMACHINES:HYPERVISORS .127
7.4.1 FAIR-SHARESCHEDULING.129
7.4.2 MESO-VM POLLING .132
7.4.3 VMWARESHAREALLOCATIONANALYSIS.134
7.4.4 J2EEWEBLOGICPRODUCTIONAPPLICATION.135
7.4.5 VMWARESCALABILITYANALYSIS .137
7.4.6 GUERRILLACAPACITYPLANNING .138
7.5 MACROLEVELVIRTUALMACHINES:HYPERNETS.138
7.5.1 MACRO-VMPOLLING.139
7.5.2 BANDWIDTHSCALABILITYANALYSIS .140
7.5.3 REMOTEPOLLINGRATES.141
7.5.4 GUERRILLACAPACITYPLANNING .142
7.6 SUMMARY.142
8 WEB SITE PLANNING
.
143
8.1 INTRODUCTION .143
8.2 ANALYSISOFDAILYTRAFFIC.144
8.2.1 THECAMELANDTHEDROMEDARY .144
8.2.2 UNIMODALBUTBICOASTAL .146
8.3 EFFECTIVEDEMAND .148
8.3.1 MODELINGASSUMPTIONS.149
8.3.2 STATISTICALAPPROACH.149
8.4 SELECTINGSTATISTICALTOOLS .150
8.4.1 SPREADSHEETPROGRAMMING.150
8.4.2 ONLINESUPPORT .150
8.5 PLANNINGFORDATACOLLECTION.151
8.5.1 COMMERCIALCOLLECTORS:USEITORLOSEIT .151
8.5.2 BREWINGINTHEBACKGROUND.151
8.6 SHORT-TERMCAPACITYPLANNING.152
8.6.1 MULTIVARIATEREGRESSIONOFDAILYDATA.152
CONTENTS XVII
8.6.2 AUTOMATIONUSINGSPREADSHEETMACROS.153
8.7 LONG-TERMCAPACITYPLANNING .155
8.7.1 NONLINEARREGRESSIONOFWEEKLYDATA .155
8.7.2 PROCUREMENTCURVES.156
8.7.3 ESTIMATINGSERVERSCALABILITY .157
8.7.4 CALCULATINGCAPACITYGAINS.158
8.7.5 ESTIMATINGTHEDOUBLINGPERIOD.161
8.8 SUMMARY.162
9 GARGANTUAN COMPUTING*GRIDS AND P2P
.
165
9.1 INTRODUCTION .165
9.2 GRIDSVS.P2P .166
9.3 ANALYSISOFGNUTELLA .167
9.4 TREETOPOLOGIES .168
9.4.1 BINARYTREE .169
9.4.2 ROOTEDTREE .169
9.4.3 CAYLEYTREE .169
9.5 HYPERNETTOPOLOGIES.169
9.5.1 HYPERCUBE .170
9.5.2 HYPERTORUS .170
9.6 CAPACITYMETRICS .170
9.6.1 NETWORKDIAMETER.170
9.6.2 TOTALNODES .171
9.6.3 PATHLENGTH.171
9.6.4 INTERNALPATHLENGTH .171
9.6.5 AVERAGEHOPDISTANCE .171
9.6.6 NETWORKLINKS .172
9.6.7 NETWORKDEMAND.172
9.6.8 PEERDEMAND .172
9.6.9 BANDWIDTH .173
9.7 RELATIVEBANDWIDTH.173
9.7.1 CAYLEYTREES.173
9.7.2 TREESANDCUBES .174
9.7.3 CUBESANDTORI .175
9.7.4 RANKEDPERFORMANCE.176
9.8 SUMMARY.176
10 INTERNET PLANNING
.
179
10.1 INTRODUCTION .179
10.2 BELLCORETRACES.180
10.3 FRACTALSANDSELF-SIMILARITY .182
10.4 FRACTALSINTIME.186
10.4.1 SHORT-RANGEDEPENDENCE.186
10.4.2 LONG-RANGEDEPENDENCE .188
10.5 IMPACTONBUFFERSIZING .190
XVIII CONTENTS
10.5.1 CONVENTIONALBUFFERSIZING.190
10.5.2 LRDBUFFERSIZING.192
10.6 NEWDEVELOPMENTS .193
10.6.1 ETHERNETPACKETIZATION.194
10.6.2 LRDANDFLICKERNOISE.196
10.7 SUMMARY.197
11 GOING GUERRILLA*A CASE STUDY
.
199
11.1 INTRODUCTION .199
11.2 GUERRILLAMONITORINGPHASE.199
11.3 THEBASICSOLUTION .201
11.3.1 IMPLEMENTATIONDETAILS .202
11.3.2 ORCAOUTPUTEXAMPLES .203
11.3.3 ROUND-ROBINDATABASE .203
11.4 EXTENDINGTHEBASICSOLUTION .206
11.4.1 MAINFRAMEDATAPROCESSING.206
11.4.2 GUERRILLAPLANNINGPHASE.207
11.4.3 MONITORINGWITHORCALERTS.208
11.5 FUTUREDEVELOPMENTS .209
11.6 SUMMARY.210
APPENDIX
A AMDAHL AND THE REPAIRMAN
.
213
A.1 REPAIRMANQUEUEINGMODEL .213
A.2 AMDAHL*SLAWFORPARALLELSUBTASKS.214
A.2.1 SINGLETASK.215
A.2.2 TWOSUBTASKS.215
A.2.3 MULTIPLESUBTASKS .215
A.3 AMDAHL*SLAWFORCONCURRENTMULTITASKS.217
A.4 NOTEONNELSON*SAPPROACH.217
B MATHEMATICA EVALUATION OF NUMA PARAMETERS
.
219
B.1 MATHEMATICAPACKAGES .219
B.2 IMPORTTHEDATA .219
B.3 TABULATETHEDATA.220
B.4 PLOTNORMALIZEDDATA.220
B.5 NONLINEARREGRESSION.221
B.6 ANOVAREPORT.221
B.7 MAXIMALCPUCONFIGURATION.222
B.8 PLOTOFREGRESSIONMODEL.222
CONTENTS XIX
C ABBREVIATIONS AND UNITS
.
223
C.1 SIPREFIXES.223
C.2 TIMESUFFIXES .223
C.3 CAPACITYSUFFIXES.224
D PROGRAMS FOR CHAPTER 3
.
225
D.1 DETERMINESIGDIGSINVBA .225
D.2 DETERMINESIGDIGSINMATHEMATICA .226
D.3 DETERMINESIGDIGSINPERL .227
E PROGRAMS FOR CHAPTER 8
.
229
E.1 EXAMPLEDATAEXTRACTORINPERL.229
E.2 VBA MACRO FOR CALCULATING U
EFF
.231
F THE GUERRILLA MANUAL
.
235
F.1 WEAPONSOFMASSINSTRUCTION.235
F.2 CAPACITYMODELINGRULESOFTHUMB.238
F.3 SCALABILITYONA STICK .240
F.3.1 UNIVERSALLAWOFCOMPUTATIONALSCALING .240
F.3.2 AREASOFAPPLICABILITY.241
F.3.3 HOWTOUSEIT.241
BIBLIOGRAPHY
.
243
INDEX
.
249 |
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| dewey-search | 658.53 |
| dewey-sort | 3658.53 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
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| illustrated | Illustrated |
| index_date | 2024-07-02T14:44:17Z |
| indexdate | 2024-07-09T20:39:22Z |
| institution | BVB |
| isbn | 3540261389 9783540261384 |
| language | English |
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| spelling | Gunther, Neil J. 1950- Verfasser (DE-588)173080030 aut Guerilla capacity planning a tactical approach to planning for highly scalable applications and services Neil J. Gunther Berlin [u.a.] Springer 2007 XIX, 251 S graph. Darst. 1 Beil. txt rdacontent n rdamedia nc rdacarrier Computer capacity Planning Kapazitätsplanung (DE-588)4120544-3 gnd rswk-swf Angriffsstrategie (DE-588)4391587-5 gnd rswk-swf Kapazitätsplanung (DE-588)4120544-3 s Angriffsstrategie (DE-588)4391587-5 s DE-604 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2668753&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014805924&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gunther, Neil J. 1950- Guerilla capacity planning a tactical approach to planning for highly scalable applications and services Computer capacity Planning Kapazitätsplanung (DE-588)4120544-3 gnd Angriffsstrategie (DE-588)4391587-5 gnd |
| subject_GND | (DE-588)4120544-3 (DE-588)4391587-5 |
| title | Guerilla capacity planning a tactical approach to planning for highly scalable applications and services |
| title_auth | Guerilla capacity planning a tactical approach to planning for highly scalable applications and services |
| title_exact_search | Guerilla capacity planning a tactical approach to planning for highly scalable applications and services |
| title_exact_search_txtP | Guerilla capacity planning a tactical approach to planning for highly scalable applications and services |
| title_full | Guerilla capacity planning a tactical approach to planning for highly scalable applications and services Neil J. Gunther |
| title_fullStr | Guerilla capacity planning a tactical approach to planning for highly scalable applications and services Neil J. Gunther |
| title_full_unstemmed | Guerilla capacity planning a tactical approach to planning for highly scalable applications and services Neil J. Gunther |
| title_short | Guerilla capacity planning |
| title_sort | guerilla capacity planning a tactical approach to planning for highly scalable applications and services |
| title_sub | a tactical approach to planning for highly scalable applications and services |
| topic | Computer capacity Planning Kapazitätsplanung (DE-588)4120544-3 gnd Angriffsstrategie (DE-588)4391587-5 gnd |
| topic_facet | Computer capacity Planning Kapazitätsplanung Angriffsstrategie |
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