Systems performance: enterprise and the cloud
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| Format: | Buch |
| Sprache: | English |
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Upper Saddle River, NJ ; Boston ; Indianapolis ; San Francisco ; New York ; Toronto ; Montreal ; London ; Munich ; Paris ; Madrid ; Capetown ; Sydney ; Tokyo ; Singapore ; Mexico City
Prentice Hall
[2014]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xxxv, 735 Seiten Diagramme |
| ISBN: | 9780133390094 |
Internformat
MARC
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| 008 | 131121s2014 |||| |||| 00||| eng d | ||
| 010 | |a 2013031887 | ||
| 020 | |a 9780133390094 |c pbk. |9 978-0-13-339009-4 | ||
| 035 | |a (OCoLC)867147090 | ||
| 035 | |a (DE-599)GBV756958024 | ||
| 040 | |a DE-604 |b ger |e rda | ||
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| 100 | 1 | |a Gregg, Brendan |e Verfasser |0 (DE-588)1096350785 |4 aut | |
| 245 | 1 | 0 | |a Systems performance |b enterprise and the cloud |c Brendan Gregg |
| 264 | 1 | |a Upper Saddle River, NJ ; Boston ; Indianapolis ; San Francisco ; New York ; Toronto ; Montreal ; London ; Munich ; Paris ; Madrid ; Capetown ; Sydney ; Tokyo ; Singapore ; Mexico City |b Prentice Hall |c [2014] | |
| 264 | 4 | |c © 2014 | |
| 300 | |a xxxv, 735 Seiten |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Datenverarbeitungssystem |0 (DE-588)4125229-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Cloud Computing |0 (DE-588)7623494-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Effizienz |0 (DE-588)4013585-8 |2 gnd |9 rswk-swf |
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| 689 | 0 | 0 | |a Großbetrieb |0 (DE-588)4022149-0 |D s |
| 689 | 0 | 1 | |a Datenverarbeitungssystem |0 (DE-588)4125229-9 |D s |
| 689 | 0 | 2 | |a Cloud Computing |0 (DE-588)7623494-0 |D s |
| 689 | 0 | 3 | |a Effizienz |0 (DE-588)4013585-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 856 | 4 | 2 | |m Digitalisierung UB Bamberg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026882235&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-026882235 | ||
Datensatz im Suchindex
| _version_ | 1804151551230476288 |
|---|---|
| adam_text | Contents
Preface
xxv
Acknowledgments
xxxiii
About the Author
xxxv
Chapter
1
Introduction
1
1.1
Systems Performance
1
1.2
Roles
2
1.3
Activities
3
1.4
Perspectives
4
1.5
Performance Is Challenging
4
1.5.1
Performance Is Subjective
5
1.5.2
Systems Are Complex
5
1.5.3
There Can Be Multiple Performance Issues
6
1.6
Latency
6
1.7
Dynamic Tracing
7
1.8
Cloud Computing
8
1.9
Case Studies
9
1.9.1
Slow Disks
9
vi
Contents
1.9.2
Software
Change
11
1.9.3
More
Reading
13
Chapter
2
Methodology
15
2.1
Terminology
16
2.2
Models
17
2.2.1
System under Test
17
2.2.2
Queueing System
17
2.3
Concepts
18
2.3.1
Latency
18
2.3.2
Time Scales
19
2.3.3
Trade-offs
20
2.3.4
Tuning Efforts
21
2.3.5
Level of Appropriateness
22
2.3.6
Point-in-Time Recommendations
23
2.3.7
Load versus Architecture
24
2.3.8
Scalability
24
2.3.9
Known-Unknowns
26
2.3.10
Metrics
27
2.3.11
Utilization
27
2.3.12
Saturation
29
2.3.13
Profiling
30
2.3.14
Caching
30
2.4
Perspectives
32
2.4.1
Resource Analysis
33
2.4.2
Workload Analysis
34
2.5
Methodology
35
2.5.1
Streetlight Anti-Method
36
2.5.2
Random Change Anti-Method
37
2.5.3
Blame-Someone-Else Anti-Method
38
2.5.4
Ad Hoc Checklist Method
38
2.5.5
Problem Statement
39
2.5.6
Scientific Method
39
Contents
vii
2.5.7
Diagnosis Cycle
41
2.5.8
Tools Method
41
2.5.9
The USE Method
42
2.5.10
Workload Characterization
49
2.5.11
Drill-Down Analysis
50
2.5.12
Latency Analysis
51
2.5.13
Method
R
52
2.5.14
Event Tracing
53
2.5.15
Baseline Statistics
54
2.5.16
Static Performance Tuning
55
2.5.17
Cache Tuning
55
2.5.18
Micro-Benchmarking
56
2.6
Modeling
57
2.6.1
Enterprise versus Cloud
57
2.6.2
Visual Identification
58
2.6.3
Amdahl s Law of Scalability
60
2.6.4
Universal Scalability Law
61
2.6.5
Queueing Theory
61
2.7
Capacity Planning
65
2.7.1
Resource Limits
66
2.7.2
Factor Analysis
68
2.7.3
Scaling Solutions
69
2.8
Statistics
69
2.8.1
Quantifying Performance
69
2.8.2
Averages
70
2.8.3
Standard Deviations, Percentiles, Median
72
2.8.4
Coefficient of Variation
72
2.8.5 Multimodal
Distributions
73
2.8.6
Outliers
74
2.9
Monitoring
74
2.9.1
Time-Based Patterns
74
2.9.2
Monitoring Products
76
2.9.3
Summary-since-Boot
76
viii Contents
2.10
Visualizations
76
2.10.1
Line Chart
77
2.10.2
Scatter Plots
78
2.10.3
Heat Maps
79
2.10.4
Surface Plot
80
2.10.5
Visualization Tools
81
2.11
Exercises
82
2.12
References
82
Chapter
3
Operating Systems
85
3.1
Terminology
86
3.2
Background
87
3.2.1
Kernel
87
3.2.2
Stacks
89
3.2.3
Interrupts and Interrupt Threads
91
3.2.4
Interrupt Priority Level
92
3.2.5
Processes
93
3.2.6
System Calls
95
3.2.7
Virtual Memory
97
3.2.8
Memory Management
97
3.2.9
Schedulers
98
3.2.10
File Systems
99
3.2.11
Caching
101
3.2.12
Networking
102
3.2.13
Device Drivers
103
3.2.14
Multiprocessor
103
3.2.15
Preemption
103
3.2.16
Resource Management
104
3.2.17
Observability
104
3.3
Kernels
105
3.3.1
Unix
106
3.3.2
Solaris-Based
106
3.3.3
Linux-Based
109
3.3.4
Differences
112
Contents ix
3.4
Exercises
113
3.5
References
113
Chapter
4
Observability Tools
115
4.1
Tool Types
116
4.1.1
Counters
116
4.1.2
Tracing
118
4.1.3
Profiling
119
4.1.4
Monitoring
(sar)
120
4.2
Observability Sources
120
4.2.1
/proc
121
4.2.2
/sys
126
4.2.3
kstat
127
4.2.4
Delay Accounting
130
4.2.5 Microstate
Accounting
131
4.2.6
Other Observability Sources
131
4.3
DTrace
133
4.3.1
Static and Dynamic Tracing
134
4.3.2
Probes
135
4.3.3
Providers
136
4.3.4
Arguments
137
4.3.5
D
Language
137
4.3.6
Built-in Variables
137
4.3.7
Actions
138
4.3.8
Variable Types
139
4.3.9
One-Liners
141
4.3.10
Scripting
141
4.3.11
Overheads
143
4.3.12
Documentation and Resources
143
4.4
SystemTap
144
4.4.1
Probes
145
4.4.2
Tapsets
145
4.4.3
Actions and Built-ins
146
x
Contents
4.4.4
Examples
146
4.4.5
Overheads
148
4.4.6
Documentation and Resources
149
4.5
perf
149
4.6
Observing Observability
150
4.7
Exercises
151
4.8
References
151
Chapters Applications
153
5.1
Application Basics
153
5.1.1
Objectives
155
5.1.2
Optimize the Common Case
156
5.1.3
Observability
156
5.1.4
Big
О
Notation
156
5.2
Application Performance Techniques
158
5.2.1
Selecting an I/O Size
158
5.2.2
Caching
158
5.2.3
Buffering
159
5.2.4
Polling
159
5.2.5
Concurrency and Parallelism
160
5.2.6
Non-Blocking I/O
162
5.2.7
Processor Binding
163
5.3
Programming Languages
163
5.3.1
Compiled Languages
164
5.3.2
Interpreted Languages
165
5.3.3
Virtual Machines
166
5.3.4
Garbage Collection
166
5.4
Methodology and Analysis
167
5.4.1
Thread State Analysis
168
5.4.2
CPU Profiling
171
5.4.3
Syscall Analysis
173
5.4.4
I/O Profiling
180
5.4.5
Workload Characterization
181
Contents
χι
5.4.6
USE Method
181
5.4.7
Drill-Down Analysis
182
5.4.8
Lock Analysis
182
5.4.9
Static Performance Tuning
185
5.5
Exercises
186
5.6
References
187
Chapter
6
CPUs
Ί
89
6.1
Terminology
190
6.2
Models
191
6.2.1
CPU Architecture
191
6.2.2
CPU Memory Caches
191
6.2.3
CPU Run Queues
192
6.3
Concepts
193
6.3.1
Clock Rate
193
6.3.2
Instruction
193
6.3.3
Instruction Pipeline
194
6.3.4
Instruction Width
194
6.3.5
CPI, IPC
194
6.3.6
Utilization
195
6.3.7
User-Time/Kernel-Time
196
6.3.8
Saturation
196
6.3.9
Preemption
196
6.3.10
Priority Inversion
196
6.3.11
Multiprocess, Multithreading
197
6.3.12
Word Size
198
6.3.13
Compiler Optimization
199
6.4
Architecture
199
6.4.1
Hardware
199
6.4.2
Software
209
6.5
Methodology
214
6.5.1
Tools Method
215
6.5.2
USE Method
216
x¡¡
Contents
6.5.3
Workload Characterization
216
6.5.4
Profiling
218
6.5.5
Cycle Analysis
219
6.5.6
Performance Monitoring
220
6.5.7
Static Performance Tuning
220
6.5.8
Priority Tuning
221
6.5.9
Resource Controls
222
6.5.10
CPU Binding
222
6.5.11
Micro-Benchmarking
222
6.5.12
Scaling
223
6.6
Analysis
224
6.6.1
uptime
224
6.6.2
vmstat
226
6.6.3
mpstat
227
6.6.4
sar
230
6.6.5
ps
230
6.6.6
top
231
6.6.7
prstat
232
6.6.8
pidstat
234
6.6.9
time, ptime
235
6.6.10
DTrace
236
6.6.11
SystemTap
243
6.6.12
perf
243
6.6.13
cpustat
249
6.6.14
Other Tools
250
6.6.15
Visualizations
251
6.7
Experimentation
254
6.7.1
Ad Hoc
255
6.7.2
SysBench
255
6.8
Tuning
256
6.8.1
Compiler Options
256
6.8.2
Scheduling Priority and Class
256
6.8.3
Scheduler Options
257
Contents xiii
6.8.4
Process Binding
259
6.8.5
Exclusive CPU Sets
259
6.8.6
Resource Controls
260
6.8.7
Processor Options (BIOS Tuning)
260
6.9
Exercises
260
6.10
References
262
Chapter
7
Memory
265
7.1
Terminology
266
7.2
Concepts
267
7.2.1
Virtual Memory
267
7.2.2
Paging
268
7.2.3
Demand Paging
269
7.2.4
Overcommit
270
7.2.5
Swapping
271
7.2.6
File System Cache Usage
271
7.2.7
Utilization and Saturation
271
7.2.8
Allocators
272
7.2.9
Word Size
272
7.3
Architecture
272
7.3.1
Hardware
273
7.3.2
Software
278
7.3.3
Process Address Space
284
7.4
Methodology
289
7.4.1
Tools Method
289
7.4.2
USE Method
290
7.4.3
Characterizing Usage
291
7.4.4
Cycle Analysis
293
7.4.5
Performance Monitoring
293
7.4.6
Leak Detection
293
7.4.7
Static Performance Tuning
294
7.4.8
Resource Controls
294
7.4.9
Micro-Benchmarking
294
xiv
Contents
7.5
Analysis
295
7.5.1
vmstat
295
7.5.2
sar
298
7.5.3
slabtop
302
7.5.4
kmastat
302
7.5.5
ps
304
7.5.6
top
305
7.5.7
prstat
305
7.5.8
pmap
306
7.5.9
DTrace
308
7.5.10
SystemTap
312
7.5.11
Other Tools
312
7.6
Tuning
314
7.6.1
Tunable Parameters
314
7.6.2
Multiple Page Sizes
317
7.6.3
Allocators
318
7.6.4
Resource Controls
318
7.7
Exercises
319
7.8
References
320
Chapter
8
File Systems
323
8.1
Terminology
324
8.2
Models
325
8.2.1
File System Interfaces
325
8.2.2
File System Cache
325
8.2.3
Second-Level Cache
326
8.3
Concepts
326
8.3.1
File System Latency
327
8.3.2
Caching
327
8.3.3
Random versus Sequential I/O
328
8.3.4
Prefetch
329
8.3.5
Read-Ahead
330
8.3.6
Write-Back Caching
330
Contents xv
8.3.7
Synchronous Writes
331
8.3.8
Raw and Direct I/O
331
8.3.9
Non-Blocking I/O
332
8.3.10
Memory-Mapped Files
332
8.3.11
Metadata
333
8.3.12
Logical versus Physical I/O
333
8.3.13
Operations Are Not Equal
335
8.3.14
Special File Systems
336
8.3.15
Access Timestamps
336
8.3.16
Capacity
337
8.4
Architecture
337
8.4.1
File System I/O Stack
337
8.4.2
VFS
337
8.4.3
File System Caches
339
8.4.4
File System Features
344
8.4.5
File System Types
345
8.4.6
Volumes and Pools
351
8.5
Methodology
353
8.5.1
Disk Analysis
353
8.5.2
Latency Analysis
354
8.5.3
Workload Characterization
356
8.5.4
Performance Monitoring
358
8.5.5
Event Tracing
358
8.5.6
Static Performance Tuning
359
8.5.7
Cache Tuning
360
8.5.8
Workload Separation
360
8.5.9
Memory-Based File Systems
360
8.5.10
Micro-Benchmarking
361
8.6
Analysis
362
8.6.1
vfsstat
363
8.6.2
fsstat
364
8.6.3
strace,
truss
364
8.6.4
DTrace
365
xvi
Contents
8.6.5
SystemTap
375
8.6.6
LatencyTOP
375
8.6.7
free
376
8.6.8
top
376
8.6.9
vmstat
376
8.6.10
sar
377
8.6.11
slabtop
378
8.6.12
mdb ::kmastat
379
8.6.13
fcachestat
379
8.6.14
/proc/meminfo
380
8.6.15
mdb ::memstat
380
8.6.16
kstat
381
8.6.17
Other Tools
382
8.6.18
Visualizations
383
8.7
Experimentation
383
8.7.1
Ad Hoc
384
8.7.2
Micro-Benchmark Tools
384
8.7.3
Cache Flushing
387
8.8
Tuning
387
8.8.1
Application Calls
387
8.8.2
ext3
389
8.8.3
ZFS
389
8.9
Exercises
391
8.10
References
392
Chapter
9
Disks
395
9.1
Terminology
396
9.2
Models
397
9.2.1
Simple Disk
397
9.2.2
Caching Disk
397
9.2.3
Controller
398
9.3
Concepts
399
9.3.1
Measuring Time
399
Contents xvii
9.3.2
Time Scales
400
9.3.3
Caching
401
9.3.4
Random versus Sequential I/O
402
9.3.5
Read/Write Ratio
403
9.3.6
I/O Size
403
9.3.7
IOPS Are Not Equal
404
9.3.8
Non-Data-Transfer Disk Commands
404
9.3.9
Utilization
404
9.3.10
Saturation
405
9.3.11
I/O Wait
406
9.3.12
Synchronous versus Asynchronous
407
9.3.13
Disk versus Application I/O
407
9.4
Architecture
407
9.4.1
Disk Types
408
9.4.2
Interfaces
414
9.4.3
Storage Types
415
9.4.4
Operating System Disk I/O Stack
418
9.5
Methodology
421
9.5.1
Tools Method
422
9.5.2
USE Method
422
9.5.3
Performance Monitoring
423
9.5.4
Workload Characterization
424
9.5.5
Latency Analysis
426
9.5.6
Event Tracing
427
9.5.7
Static Performance Tuning
428
9.5.8
Cache Tuning
429
9.5.9
Resource Controls
429
9.5.10
Micro-Benchmarking
429
9.5.11
Scaling
431
9.6
Analysis
431
9.6.1
iostat
432
9.6.2
sar
440
9.6.3
pidstat
441
xviii
Contents
9.6.4
DTrace
442
9.6.5
SystemTap
451
9.6.6
perf
451
9.6.7
iotop
452
9.6.8
iosnoop
455
9.6.9
blktrace
457
9.6.10
MegaCli
459
9.6.11
smartctl
460
9.6.12
Visualizations
461
9.7
Experimentation
465
9.7.1
Ad Hoc
465
9.7.2
Custom Load Generators
465
9.7.3
Micro-Benchmark Tools
466
9.7.4
Random Read Example
466
9.8
Tuning
467
9.8.1
Operating System Tunables
467
9.8.2
Disk Device Tunables
469
9.8.3
Disk Controller Tunables
469
9.9
Exercises
470
9.10
References
471
Chapter
10
Network
473
10.1
Terminology
474
10.2
Models
474
10.2.1
Network Interface
474
10.2.2
Controller
475
10.2.3
Protocol Stack
476
10.3
Concepts
476
10.3.1
Networks and Routing
476
10.3.2
Protocols
477
10.3.3
Encapsulation
478
10.3.4
Packet Size
478
10.3.5
Latency
479
Contents
10.3.6
Buffering
481
10.3.7
Connection Backlog
481
10.3.8
Interface Negotiation
482
10.3.9
Utilization
482
10.3.10
Local Connections
482
10.4
Architecture
483
10.4.1
Protocols
483
10.4.2
Hardware
486
10.4.3
Software
488
10.5
Methodology
493
10.5.1
Tools Method
494
10.5.2
USE Method
495
10.5.3
Workload Characterization
496
10.5.4
Latency Analysis
497
10.5.5
Performance Monitoring
498
10.5.6
Packet Sniffing
498
10.5.7
TCP Analysis
500
10.5.8
Drill-Down Analysis
500
10.5.9
Static Performance Tuning
501
10.5.10
Resource Controls
502
10.5.11
Micro-Benchmarking
502
10.6
Analysis
503
10.6.1
netstat
503
10.6.2
sar
509
10.6.3
ifconfig
511
10.6.4
ip
512
10.6.5
nicstat
512
10.6.6
dladm
513
10.6.7
ping
514
10.6.8
traceroute
514
10.6.9
pathchar
515
10.6.10
tcpdump
516
10.6.11
snoop
517
xx Contents
10.6.12 Wireshark 520
10.6.13 DTrace 520
10.6.14 SystemTap 533
10.6.15 perf 533
10.6.16
Other
Tools 534
10.7
Experimentation
535
10.7.1 ipcrf 535
10.8 Tuning 536
10.8.1 Linux 536
10.8.2 Solaris 539
10.8.3
Configuration
542
10.9
Exercises
542
10.10
References
543
Chapter
11
Cloud Computing
545
11.1
Background
546
11.1.1
Price/Performance Ratio
546
11.1.2
Scalable Architecture
547
11.1.3
Capacity Planning
548
11.1.4
Storage
550
11.1.5
Multitenancy
550
11.2
OS Virtualization
551
11.2.1
Overhead
553
11.2.2
Resource Controls
555
11.2.3
Observability
558
11.3
Hardware Virtualization
563
11.3.1
Overhead
566
11.3.2
Resource Controls
572
11.3.3
Observability
574
11.4
Comparisons
581
11.5
Exercises
583
11.6
References
584
Contents xxi
Chapter
12
Benchmarking
587
12.1
Background
588
12.1.1
Activities
588
12.1.2
Effective Benchmarking
589
12.1.3
Benchmarking Sins
591
12.2
Benchmarking Types
597
12.2.1
Micro-Benchmarking
597
12.2.2
Simulation
599
12.2.3
Replay
600
12.2.4
Industry Standards
601
12.3
Methodology
602
12.3.1
Passive Benchmarking
603
12.3.2
Active Benchmarking
604
12.3.3
CPU Profiling
606
12.3.4
USE Method
607
12.3.5
Workload Characterization
608
12.3.6
Custom Benchmarks
608
12.3.7
Ramping Load
608
12.3.8
Sanity Check
611
12.3.9
Statistical Analysis
612
12.4
Benchmark Questions
613
12.5
Exercises
614
12.6
References
615
Chapter
13
Casestudy
617
13.1
Case Study: The Red Whale
617
13.1.1
Problem Statement
618
13.1.2
Support
619
13.1.3
Getting Started
620
13.1.4
Choose Your Own Adventure
622
13.1.5
The USE Method
623
13.1.6
Are We Done?
626
13.1.7
Take
2 627
xxü Contents
13.1.8 The Basics 628
13.1.9
Ignoring the Red Whale
628
13.1.10
Interrogating the Kernel
629
13.1.11
Why?
631
13.1.12
Epilogue
633
13.2
Comments
633
13.3
Additional Information
634
13.4
References
634
Appendix A USE Method: Linux
637
Physical Resources
637
Software Resources
640
Reference
641
Appendix
В
USE Method: Solaris
643
Physical Resources
643
Software Resources
646
References
647
Appendix
С
sar
Summary
649
Linux
649
Solaris
650
Appendix
D
DTrace One-Liners
651
syscall Provider
651
proc
Provider
655
profile Provider
655
sched
Provider
657
fbt Provider
658
pid Provider
659
io
Provider
660
sysinfo Provider
660
vminfo Provider
661
ip Provider
661
Contents xxiii
tep
provider
662
udp provider
663
Appendix
E DTrace
to SystemTap
665
Functionality
665
Terminology
666
Probes
666
Built-in Variables
667
Functions
668
Example
1:
Listing syscall Entry Probes
668
Example
2:
Summarize readO Returned Size
668
Example
3:
Count syscalls by Process Name
670
Example
4:
Count syscalls by syscall Name, for Process
ID
123
671
Example
5:
Count syscalls by syscall Name, for
httpd Processes
672
Example
6:
Trace File open()s with Process Name
and Path Name
672
Example
7:
Summarize readO Latency for mysqld
Processes
672
Example
8:
Trace New Processes with Process Name
and Arguments
673
Example
9:
Sample Kernel Stacks at
100
Hz
674
References
674
Appendix
F
Solutions to Selected Exercises
675
Chapter
2—
Methodology
675
Chapter
3—
Operating Systems
675
Chapter
6—
CPUs
675
Chapter
7—
Memory
676
Chapter
8—
File Systems
676
Chapter
9—
Disks
677
Chapter
11—
Cloud Computing
677
xxiv Contents
Appendix
G Systems Performance
Who s Who
679
Glossary
683
Bibliography
689
Index
697
|
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| ctrlnum | (OCoLC)867147090 (DE-599)GBV756958024 |
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| id | DE-604.BV041435356 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:56:37Z |
| institution | BVB |
| isbn | 9780133390094 |
| language | English |
| lccn | 2013031887 |
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| physical | xxxv, 735 Seiten Diagramme |
| publishDate | 2014 |
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| publisher | Prentice Hall |
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| spelling | Gregg, Brendan Verfasser (DE-588)1096350785 aut Systems performance enterprise and the cloud Brendan Gregg Upper Saddle River, NJ ; Boston ; Indianapolis ; San Francisco ; New York ; Toronto ; Montreal ; London ; Munich ; Paris ; Madrid ; Capetown ; Sydney ; Tokyo ; Singapore ; Mexico City Prentice Hall [2014] © 2014 xxxv, 735 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Datenverarbeitungssystem (DE-588)4125229-9 gnd rswk-swf Cloud Computing (DE-588)7623494-0 gnd rswk-swf Effizienz (DE-588)4013585-8 gnd rswk-swf Großbetrieb (DE-588)4022149-0 gnd rswk-swf Großbetrieb (DE-588)4022149-0 s Datenverarbeitungssystem (DE-588)4125229-9 s Cloud Computing (DE-588)7623494-0 s Effizienz (DE-588)4013585-8 s DE-604 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026882235&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gregg, Brendan Systems performance enterprise and the cloud Datenverarbeitungssystem (DE-588)4125229-9 gnd Cloud Computing (DE-588)7623494-0 gnd Effizienz (DE-588)4013585-8 gnd Großbetrieb (DE-588)4022149-0 gnd |
| subject_GND | (DE-588)4125229-9 (DE-588)7623494-0 (DE-588)4013585-8 (DE-588)4022149-0 |
| title | Systems performance enterprise and the cloud |
| title_auth | Systems performance enterprise and the cloud |
| title_exact_search | Systems performance enterprise and the cloud |
| title_full | Systems performance enterprise and the cloud Brendan Gregg |
| title_fullStr | Systems performance enterprise and the cloud Brendan Gregg |
| title_full_unstemmed | Systems performance enterprise and the cloud Brendan Gregg |
| title_short | Systems performance |
| title_sort | systems performance enterprise and the cloud |
| title_sub | enterprise and the cloud |
| topic | Datenverarbeitungssystem (DE-588)4125229-9 gnd Cloud Computing (DE-588)7623494-0 gnd Effizienz (DE-588)4013585-8 gnd Großbetrieb (DE-588)4022149-0 gnd |
| topic_facet | Datenverarbeitungssystem Cloud Computing Effizienz Großbetrieb |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026882235&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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