Capacity planning for web services: metrics, models, and methods
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Upper Saddle River, NJ
Prentice Hall PTR
2002
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben. - Früher u.d.T. Menascé, Daniel A.: Capacity planning for web performance |
| Beschreibung: | XXIII, 572 S. Ill., graph. Darst. 24 cm |
| ISBN: | 0130659037 |
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| 245 | 1 | 0 | |a Capacity planning for web services |b metrics, models, and methods |c Daniel A. Menascé ; Virgilio A. F. Almeida |
| 264 | 1 | |a Upper Saddle River, NJ |b Prentice Hall PTR |c 2002 | |
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Datensatz im Suchindex
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| adam_text |
Contents
Contents
Preface
xv
About the Authors
xxiii
1
When Web Performance is a Problem
1
1.1
Introduction
1
1.2
Web Site Performance
4
1.3
Client/Server Performance
б
1.4
The Capacity Planning Concept
12
1.5
Corporate Portal Performance
15
1.6
ISP Performance
17
1.7
Concluding Remarks
18
Bibliography
20
2
Protocols and Interaction Models for Web Services
23
2.1
Introduction
23
2.2
The World of Networks
25
2.2.1
Genesis
25
2.2.2
Types of Networks
26
2.2.3
Protocols
34
2.3
The World of Clients and Servers
46
2.3.1
The C/S Paradigm
46
2.3.2
Server Types
50
2.3.3
HTTP
52
VÍ
Contents
2.4
The Peer-to-Peer Model
57
2.5
Web Service Protocols
59
2.5.1
SOAP
61
2.5.2
WSDL
62
2.5.3
UDDI
62
2.6
Concluding Remarks
62
Bibliography
63
3
Basic Performance Concepts
67
3.1
Introduction
67
3.2
The Big Picture of Response Time
68
3.3
Service Times and Service Demands
72
3.3.1
Service Times at Single Disks and Disk Arrays
72
3.3.2
Service Times in Networks
90
3.3.3
Service Times at Routers
98
3.4
Web Page Download Time
99
3.5
Queues and Contention
106
3.6
Some Basic Performance Results
108
3.6.1
Utilization Law
109
3.6.2
Forced Flow Law
110
3.6.3
Service Demand Law
110
3.6.4
Little's Law 111
3.6.5
Response Time Law
113
3.6.6
Summary of Basic Results
115
3.7
Performance Metrics in Web Systems
115
3.8
Concluding Remarks
118
Bibliography
118
4
Performance issues of Web Services
121
4.1
Introduction
121
4.2
From Boxes to Services
123
4.2.1
Web Server Overview
125
Contents
VII
4.3
Perception
of
Performance
128
4.3.1
Metrics
128
4.3.2
Quality of Service
131
4.4
Where Are the Delays?
133
4.4.1
Anatomy of a Web Transaction
134
4.4.2
Bottlenecks
137
4.5
Web Infrastructure
140
4.5.1
Basic Components
141
4.5.2
Proxy, Cache, and Mirror
142
4.5.3
Content Delivery Networks
145
4.5.4
The WAP Infrastructure
146
4.6
Server Architectures
149
4.6.1
Web Server
149
4.6.2
Application Server
- 151
4.6.3
Transaction and Database Server
154
4.6.4
Streaming Server
156
4.6.5
Multi-Tier Architecture
158
4.6.6
Dynamic Load Balancing
161
4.7
Networks
163
4.7.1
Bandwidth and Latency
163
4.7.2
Traffic
165
4.7.3
Special Features
167
4.8
Concluding Remarks
170
Bibliography
170
5
Planning the Capacity of Web Services
175
5.1
Introduction
175
5.2
Adequate Capacity
176
5.3
A Capacity Planning Methodology for Web Services
178
5A Understanding the Environment
180
5.5
Workload Characterization
184
VÜÏ
Contents
5.5.1
Breaking Down the Global Workload
186
5.5.2
Data Collection Issues
188
5.5.3
Validating Workload Models
190
5.6
Workload Forecasting
191
5.7
Performance/Availability Modeling and Prediction
192
5.7.1
Performance Models
192
5.7.2
Performance Prediction Techniques
195
5.7.3
Performance Model Validation
196
5.7.4
Availability Modeling
197
5.8
Development of a Cost Model
197
5.9
Cost/Performance Analysis
202
5.10
Concluding Remarks
202
Bibliography
203
6
Understanding and Characterizing the Workload
205
6.1
Introduction
205
6.2
Characterizing the Workload of a Corporate Portal
207
6.2.1
A First Approach
209
6.2.2
A Simple Example
212
6.2.3
Workload Model
218
6.2.4
Graph-Based Models
222
6.3
A Workload Characterization Methodology
224
6.3.1
Choice of an Analysis Standpoint
224
6.3.2
Identification of the Basic Component
224
6.3.3
Choice of the Characterizing Parameter
225
6.3.4
Data Collection
225
6.3.5
Partitioning the Workload
226
6.3.6
Calculating Class Parameters
233
6.4
Web Workloads
248
6.4.1
Power-Laws
249
6.4.2
Bursty Workloads
252
Contents
IX
6.4.3 Streaming Media
Workloads
254
6.5
Concluding Remarks
256
Bibliography
256
7
Benchmarks and Performance Tests
261
7.1
Introduction
261
7.2
The Nature of Benchmarks
263
7.2.1
Benchmark Hierarchy
265
7.2.2
Avoiding Pitfalls
267
7.2.3
Common Benchmarks
268
7.3
Processor Benchmarks
269
7.3.1
Workload
269
7.3.2
Results
270
7.4
Web Server Benchmarks
272
7.4.1
SPECweb
273
7.4.2
Webstone
277
7.4.3
Analytically-Based Generators
280
7.5
System Benchmarks
283
7.5.1
TPC-C
284
7.5.2
TPC-W
287
7.6
Performance Testing
290
7.6.1
Types of Performance Tests
291
7.6.2
A Methodology for Performance Testing
292
7.7
Concluding Remarks
299
Bibliography
301
8
System-Level Performance Models
305
8.1
Introduction
305
8.2
Simple Server Model I
—
Infinite Queue
306
8.3
Simple Server Model II
—
Finite Queue
317
8.4
Generalized System-Level Models
325
8.5
Other System-Level Models
327
X
Contents
8.5.1 Infinite Population Models 328
8.5.2
Finite
Population Models 333
8.6
Concluding Remarks
338
Bibliography
339
9
Component-Level Performance Models
341
9.1
Introduction
341
9.2
Queuing Networks
342
9.3
Open Systems
344
9.3.1
Single-Class Open Queuing Networks
345
9.3.2
Multiple-Class Open Queuing Networks
348
9.4
Closed Models
349
9.4.1
Single-Class Closed Models
351
9.4.2
Multiple-Class Closed Models
358
9.5
Modeling Multiprocessors
363
ι
9.6
Combining System- and Component-Level Models
366
9.7
An Intranet Model
371
9.8
Concluding Remarks
376
Bibliography
376
10
Web Performance Modeling
379
10.1
Introduction
379
10.2
Incorporating New Phenomena
380
10.2.1
Burstiness Modeling
380
10.2.2
Accounting for Heavy Tails in the Model
386
10.3
Client-Side Models
388
10.3.1
No Cache Proxy Server Case
388
10.3.2
Using a Cache Proxy Server
396
10.4
Server-Side Models
399
10.4.1
Single Web Server
400
10.4.2
Mirrored Web Servers
407
10.5
Concluding Remarks
412
Contents
XI
Bibliography
413
11
Availability of Web Services
415
11.1
Introduction
415
11.2
A Motivating Availability Example
416
11.3
Why and How Systems Fail
417
11.4
Reliability and Availability Basics
419
11.5
The Reliability of Systems of Components
424
11.6
Revisiting the Online Broker Example
430
11.7
Performance and Availability
432
11.7.1
Availability Analysis
433
11.7.2
Performance Analysis
437
11.7.3
Performability Analysis
440
11.8
Software Aging and Rejuvenation
442
11.8.1
Load-Dependent Software Aging Rate
447
11.9
Concluding Remarks
448
Bibliography
449
12
Workload Forecasting
451
12.1
Introduction
451
12.2
Why Workloads Change?
452
12.2.1
Traditional Workloads
453
12.2.2
Web Workloads
453
12.3
Forecasting Strategy
455
12.4
Forecasting Process
458
12.4.1
Workload Forecasting Models
460
12.4.2
A Business-Oriented Methodology
462
12.5
Forecasting Techniques
463
12.5.1
Regression Methods
464
12.5.2
Linear Regression
465
12.5.3
Nonlinear Methods
469
12.5.4
Moving Average
471
XU Contents
12.5.5
Exponential Smoothing
473
12.6
Concluding Remarks
475
Bibliography
476
13
Measuring Performance
479
13.1
Introduction
479
13.2
Performance Measurement Framework
482
13.2.1
Infrastructure Measurement
484
13.2.2
Application Performance Measurement
484
13.3
The Meaning of Measurements
485
13.4
Measurement Process
489
13.5
Data Collection Techniques and Tools
491
13.5.1
Event-driven
491
13.5.2
Sampling
493
13.5.3
Tools
493
13.6
Performance Model Parameters
500
13.6.1
Queues
500
13.6.2
Workload Classes
501
13.6.3
Workload Intensity
502
13.6.4
Service Demands
502
13.6.5
Parameter Estimation
504
13.7
Obtaining Model Parameters
508
13.7.1
Network
508
13.7.2
Server
510
13.8
Concluding Remarks
519
Bibliography
520
14Wrapping Up
525
14.1
Introduction
525
14.2
Characteristics of Large-Scale Systems
527
14.3
Model-Based Approach
529
14.4
Concluding Remarks
532
Contents Xiii
Bibliography
533
A Glossary of Terms
537
В
Downloads
553
B.I The Microsoft Excel Workbooks
553
B.2 HTTP Log Sample and Program
555
Index
556 |
| any_adam_object | 1 |
| author | Menascé, Daniel A. Almeida, Virgilio A. F. |
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| callnumber-subject | QA - Mathematics |
| classification_rvk | ST 205 |
| classification_tum | DAT 675f DAT 343f WIR 917f |
| ctrlnum | (OCoLC)1406980041 (DE-599)BVBBV013944999 |
| dewey-full | 004.2 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.2 |
| dewey-search | 004.2 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV013944999 |
| illustrated | Illustrated |
| indexdate | 2024-07-31T01:00:43Z |
| institution | BVB |
| isbn | 0130659037 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009541843 |
| oclc_num | 1406980041 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG DE-739 DE-83 DE-188 DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-706 DE-210 |
| owner_facet | DE-473 DE-BY-UBG DE-739 DE-83 DE-188 DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-706 DE-210 |
| physical | XXIII, 572 S. Ill., graph. Darst. 24 cm |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | Prentice Hall PTR |
| record_format | marc |
| spelling | Menascé, Daniel A. Verfasser aut Capacity planning for web services metrics, models, and methods Daniel A. Menascé ; Virgilio A. F. Almeida Upper Saddle River, NJ Prentice Hall PTR 2002 XXIII, 572 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Literaturangaben. - Früher u.d.T. Menascé, Daniel A.: Capacity planning for web performance Computer capacity Planning World Wide Web Kapazitätsplanung (DE-588)4120544-3 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Internetdienst (DE-588)4691239-3 gnd rswk-swf Verteiltes System (DE-588)4238872-7 gnd rswk-swf World Wide Web (DE-588)4363898-3 gnd rswk-swf Dienstgüte (DE-588)4496068-2 gnd rswk-swf Leistungssteigerung (DE-588)4167306-2 gnd rswk-swf Leistungsbewertung (DE-588)4167271-9 gnd rswk-swf Verfügbarkeit (DE-588)4062817-6 gnd rswk-swf Computerarchitektur (DE-588)4048717-9 gnd rswk-swf Rechnernetz (DE-588)4070085-9 gnd rswk-swf Internet (DE-588)4308416-3 gnd rswk-swf Web Services (DE-588)4691234-4 gnd rswk-swf Leistungsmessung (DE-588)4167290-2 gnd rswk-swf Systementwurf (DE-588)4261480-6 gnd rswk-swf World Wide Web (DE-588)4363898-3 s Internet (DE-588)4308416-3 s Leistungsbewertung (DE-588)4167271-9 s Verfügbarkeit (DE-588)4062817-6 s DE-604 Internetdienst (DE-588)4691239-3 s Leistungsmessung (DE-588)4167290-2 s Leistungssteigerung (DE-588)4167306-2 s Information Retrieval (DE-588)4072803-1 s Web Services (DE-588)4691234-4 s Kapazitätsplanung (DE-588)4120544-3 s Rechnernetz (DE-588)4070085-9 s Computerarchitektur (DE-588)4048717-9 s Verteiltes System (DE-588)4238872-7 s Systementwurf (DE-588)4261480-6 s Dienstgüte (DE-588)4496068-2 s Almeida, Virgilio A. F. Verfasser aut Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009541843&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Menascé, Daniel A. Almeida, Virgilio A. F. Capacity planning for web services metrics, models, and methods Computer capacity Planning World Wide Web Kapazitätsplanung (DE-588)4120544-3 gnd Information Retrieval (DE-588)4072803-1 gnd Internetdienst (DE-588)4691239-3 gnd Verteiltes System (DE-588)4238872-7 gnd World Wide Web (DE-588)4363898-3 gnd Dienstgüte (DE-588)4496068-2 gnd Leistungssteigerung (DE-588)4167306-2 gnd Leistungsbewertung (DE-588)4167271-9 gnd Verfügbarkeit (DE-588)4062817-6 gnd Computerarchitektur (DE-588)4048717-9 gnd Rechnernetz (DE-588)4070085-9 gnd Internet (DE-588)4308416-3 gnd Web Services (DE-588)4691234-4 gnd Leistungsmessung (DE-588)4167290-2 gnd Systementwurf (DE-588)4261480-6 gnd |
| subject_GND | (DE-588)4120544-3 (DE-588)4072803-1 (DE-588)4691239-3 (DE-588)4238872-7 (DE-588)4363898-3 (DE-588)4496068-2 (DE-588)4167306-2 (DE-588)4167271-9 (DE-588)4062817-6 (DE-588)4048717-9 (DE-588)4070085-9 (DE-588)4308416-3 (DE-588)4691234-4 (DE-588)4167290-2 (DE-588)4261480-6 |
| title | Capacity planning for web services metrics, models, and methods |
| title_auth | Capacity planning for web services metrics, models, and methods |
| title_exact_search | Capacity planning for web services metrics, models, and methods |
| title_full | Capacity planning for web services metrics, models, and methods Daniel A. Menascé ; Virgilio A. F. Almeida |
| title_fullStr | Capacity planning for web services metrics, models, and methods Daniel A. Menascé ; Virgilio A. F. Almeida |
| title_full_unstemmed | Capacity planning for web services metrics, models, and methods Daniel A. Menascé ; Virgilio A. F. Almeida |
| title_short | Capacity planning for web services |
| title_sort | capacity planning for web services metrics models and methods |
| title_sub | metrics, models, and methods |
| topic | Computer capacity Planning World Wide Web Kapazitätsplanung (DE-588)4120544-3 gnd Information Retrieval (DE-588)4072803-1 gnd Internetdienst (DE-588)4691239-3 gnd Verteiltes System (DE-588)4238872-7 gnd World Wide Web (DE-588)4363898-3 gnd Dienstgüte (DE-588)4496068-2 gnd Leistungssteigerung (DE-588)4167306-2 gnd Leistungsbewertung (DE-588)4167271-9 gnd Verfügbarkeit (DE-588)4062817-6 gnd Computerarchitektur (DE-588)4048717-9 gnd Rechnernetz (DE-588)4070085-9 gnd Internet (DE-588)4308416-3 gnd Web Services (DE-588)4691234-4 gnd Leistungsmessung (DE-588)4167290-2 gnd Systementwurf (DE-588)4261480-6 gnd |
| topic_facet | Computer capacity Planning World Wide Web Kapazitätsplanung Information Retrieval Internetdienst Verteiltes System Dienstgüte Leistungssteigerung Leistungsbewertung Verfügbarkeit Computerarchitektur Rechnernetz Internet Web Services Leistungsmessung Systementwurf |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009541843&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT menascedaniela capacityplanningforwebservicesmetricsmodelsandmethods AT almeidavirgilioaf capacityplanningforwebservicesmetricsmodelsandmethods |