Mining and control of network traffic by computational intelligence:
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2011
|
Schriftenreihe: | Studies in computational intelligence
342 |
Schlagworte: | |
Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
Beschreibung: | Literaturangaben |
Beschreibung: | XVI, 309 S. graph. Darst. 24 cm |
ISBN: | 9783642180835 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text |
IMAGE 1
CONTENTS
INTERNET SCIENCE 1
1.1 MODELING THE INTERNET 1
1.2 MEASUREMENT SYSTEMS AND INFRASTRUCTURES 4
1.2.1 ACTIVE SYSTEMS 4
1.2.2 PASSIVE SYSTEMS 6
1.2.3 PUBLICLY AVAILABLE MEASUREMENTS 6
1.3 NETWORK TRAFFIC 7
1.3.1 TRAFFIC MODELS 8
1.3.2 TRANSPORT LAYER MODELS. TCP 11
1.3.3 MODELS OF APPLICATIONS AND SERVICES 12
1.3.4 NETWORK SIMULATION 12
1.3.5 PERFORMANCE METRICS 14
1.3.6 CONGESTION 15
1.4 TRAFFIC CONTROL 16
1.4.1 END-TO-END TRAFFIC CONTROL 19
1.4.2 TRAFFIC CONTROL IN ROUTERS 20
1.5 TIME SERIES MODELS FOR NETWORK TRAFFIC 26
1.5.1 SHORT-MEMORY STOCHASTIC MODELS 28
1.5.2 LONG-MEMORY STOCHASTIC MODELS 31
1.5.3 MEAN SQUARE ERROR PREDICTORS 34
1.5.4 OWA-INDUCED NEAREST NEIGHBOR MODELS 36
1.5.5 LEAST SQUARES SUPPORT VECTOR MACHINES 36
1.5.6 EXTREME LEARNING MACHINE 38
1.5.7 PREDICTION PERFORMANCE METRICS 38
1.6 CONCLUSIONS 41
REFERENCES 41
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1008784907
DIGITALISIERT DURCH
IMAGE 2
XII CONTENTS
2 MODELING TIME SERIES BY MEANS OF FUZZY INFERENCE SYSTEMS 53 2.1
PREDICTIVE MODELS FOR TIME SERIES 53
2.2 NONPARAMETRIC RESIDUAL VARIANCE ESTIMATION: DELTA TEST 55 2.3
METHODOLOGY FRAMEWORK FOR TIME SERIES PREDICTION WITH FUZZY INFERENCE
SYSTEMS 55
2.3.1 VARIABLE SELECTION 57
2.3.2 SYSTEM IDENTIFICATION AND TUNING 59
2.3.3 COMPLEXITY SELECTION 60
2.4 CASE STUDY AND VALIDATION: ESTSP'07 COMPETITION DATASET 61
2.5 EXPERIMENTAL RESULTS 67
2.5.1 POLAND ELECTRICITY BENCHMARK 67
2.5.2 SUNSPOT NUMBERS 71
2.5.3 AGGREGATED INCOMING TRAFFIC IN THE INTERNET2 BACKBONE NETWORK 73
2.5.4 SANTA FE TIME SERIES COMPETITION: LASER DATASET 73 2.5.5
MACKEY-GLASS SERIES 78
2.5.6 NN3 COMPETITION 80
2.5.7 DISCUSSION 80
2.6 CONCLUSIONS 83
REFERENCES 83
3 PREDICTIVE MODELS OF NETWORK TRAFFIC LOAD 87
3.1 MODELS FOR NETWORK TRAFFIC LOAD 87
3.2 ANALYSIS OF TRAFFIC TRACES 89
3.3 SERIES OF THE INTERNET TRAFFIC ARCHIVE 93
3.3.1 LBL TRACES 93
3.3.2 BELLCORE TRACES 94
3.3.3 DEC TRACES 99
3.4 APPLICATION TO RECENT TRAFFIC TIME SERIES 99
3.4.1 BACKBONE TRAFFIC 99
3.4.2 EXCHANGE AND PEERING TRAFFIC I LL
3.4.3 INTERCONTINENTAL TRAFFIC 116
3.4.4 ACCESS POINT TRAFFIC 120
3.4.5 WIRELESS TRAFFIC 130
3.5 DISCUSSION 130
3.6 CONCLUSIONS 142
REFERENCES 143
4 SUMMARIZATION AND ANALYSIS OF NETWORK TRAFFIC FLOW RECORDS 147 4.1
NETWORK TRAFFIC MEASUREMENT SYSTEMS 147
4.2 FLOW MEASUREMENT AND STATISTICS: NETFLOW AND IPFIX 149 4.3
LINGUISTIC SUMMARIES 152
IMAGE 3
CONTENTS XIII
4.4 DEFINITION OF LINGUISTIC SUMMARIES OF NETWORK FLOW COLLECTIONS 154
4.4.1 DEFINING LINGUISTIC LABELS FROM A PRIORI KNOWLEDGE 156
4.4.2 AUTOMATIC DEFINITION OF LINGUISTIC LABELS BY UNSUPERVISED LEARNING
158
4.4.3 QUANTIFIERS 159
4.5 SUMMARIZATION OF NETFLOW COLLECTIONS 159
4.5.1 ON-LINE SUMMARIZATION OF NETFLOW COLLECTIONS 159 4.5.2 DATA MINING
SUMMARIES OF NETFLOW COLLECTIONS 167 4.5.3 EXPERIMENTAL RESULTS 168
4.5.4 PREDEFINED SET OF SUMMARIES 170
4.5.5 IDENTIFYING ATTRIBUTE LABELS BY CLUSTERING 174
4.5.6 MINING ASSOCIATION RULES FOR EXTRACTING LINGUISTIC SUMMARIES 183
4.5.7 DISCUSSION 183
4.6 CONCLUSIONS 185
REFERENCES 1 86
5 INFERENCE SYSTEMS FOR NETWORK TRAFFIC CONTROL 191
5.1 NETWORK TRAFFIC CONTROL 191
5.2 SIMULATION SCENARIOS 192
5.3 FUZZY END-TO-END RATE CONTROL FOR INTERNET TRANSPORT PROTOCOLS 200
5.3.1 RELATED WORK 202
5.3.2 END-TO-END WINDOW BASED RATE CONTROL AND A FUZZY GENERALIZATION
203
5.3.3 DESIGN OF A FUZZY END-TO-END WINDOW BASED RATE CONTROLER 205
5.3.4 DEVELOPMENT METHODOLOGY AND TOOL CHAIN 213
5.3.5 SIMULATION RESULTS 214
5.3.6 IMPLEMENTATION RESULTS 219
5.3.7 DISCUSSION 222
5.4 ACTIVE QUEUE MANAGEMENT BY MEANS OF FUZZY INFERENCE SYSTEMS 226
5.4.1 APPROACH AND RELATED WORK 226
5.4.2 DEVELOPMENT METHODOLOGY AND TOOL CHAIN 229
5.4.3 FUZZY INTERNET TRAFFIC CONTROL OF AGGREGATE TRAFFIC 230 5.4.4
FUZZY CONTROLER OF BEST-EFFORT AGGREGATE TRAFFIC 231 5.4.5 SIMULATION
RESULTS 233
5.4.6 IMPLEMENTATION RESULTS 250
5.4.7 DISCUSSION 255
5.5 CONCLUSIONS 256
REFERENCES 256
IMAGE 4
XIV CONTENTS
6 OPEN FPGA-BASED DEVELOPMENT PLATFORM FOR FUZZY INFERENCE SYSTEMS 263
6.1 FUZZY INFERENCE SYSTEMS FOR HIGH-PERFORMANCE NETWORKS 263 6.2
ROUTING ARCHITECTURES 264
6.2.1 HIGH-END ROUTING HARDWARE 269
6.2.2 EXPECTED EVOLUTION 272
6.2.3 ARCHITECTURES AND PLATFORMS FOR RESEARCH 273
6.3 INFERENCE RATE OF SOFTWARE IMPLEMENTATIONS 274
6.4 HARDWARE IMPLEMENTATION OF FUZZY INFERENCE SYSTEMS 275 6.5
DEVELOPMENT PLATFORM FOR FUZZY INFERENCE SYSTEMS WITH APPLICATIONS TO
NETWORKING 277
6.5.1 DEVELOPMENT METHODOLOGY AND DESIGN FLOW 282 6.5.2 APPLICATION TO
INTERNET TRAFFIC ANALYSIS AND CONTROL 285
6.6 COMPUTATIONAL INTELLIGENCE BASED PROCESSING SUBSYSTEMS IN ROUTING
ARCHITECTURES 296
6.7 CONCLUSIONS 298
REFERENCES 299
INDEX 305 |
any_adam_object | 1 |
author | Montesino Pouzols, Federico Lopez, Diego R. Barriga Barros, Angel |
author_facet | Montesino Pouzols, Federico Lopez, Diego R. Barriga Barros, Angel |
author_role | aut aut aut |
author_sort | Montesino Pouzols, Federico |
author_variant | p f m pf pfm d r l dr drl b a b ba bab |
building | Verbundindex |
bvnumber | BV037281851 |
classification_rvk | ST 300 |
ctrlnum | (OCoLC)712485382 (DE-599)DNB1008784907 |
dewey-full | 004.66 004.678 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 004 - Computer science |
dewey-raw | 004.66 004.678 |
dewey-search | 004.66 004.678 |
dewey-sort | 14.66 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Book |
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spelling | Montesino Pouzols, Federico Verfasser aut Mining and control of network traffic by computational intelligence Federico Montesino Pouzols ; Diego R. Lopez ; Angel Barriga Barros Berlin [u.a.] Springer 2011 XVI, 309 S. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 342 Literaturangaben Data Mining (DE-588)4428654-5 gnd rswk-swf Traffic Engineering (DE-588)4699419-1 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Monitoring Informatik (DE-588)4522632-5 gnd rswk-swf Überlastkontrolle (DE-588)4521193-0 gnd rswk-swf Paketvermittlung (DE-588)4173101-3 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Internet (DE-588)4308416-3 gnd rswk-swf Fuzzy-logisches Schließen (DE-588)4659944-7 gnd rswk-swf Internet (DE-588)4308416-3 s Traffic Engineering (DE-588)4699419-1 s Paketvermittlung (DE-588)4173101-3 s Data Mining (DE-588)4428654-5 s Überlastkontrolle (DE-588)4521193-0 s Monitoring Informatik (DE-588)4522632-5 s Soft Computing (DE-588)4455833-8 s Zeitreihenanalyse (DE-588)4067486-1 s Fuzzy-logisches Schließen (DE-588)4659944-7 s DE-604 Lopez, Diego R. Verfasser aut Barriga Barros, Angel Verfasser aut Erscheint auch als Online-Ausgabe Mining and Control of Network Traffic by Computational Intelligence Studies in computational intelligence 342 (DE-604)BV020822171 342 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3623744&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=021194641&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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title | Mining and control of network traffic by computational intelligence |
title_auth | Mining and control of network traffic by computational intelligence |
title_exact_search | Mining and control of network traffic by computational intelligence |
title_full | Mining and control of network traffic by computational intelligence Federico Montesino Pouzols ; Diego R. Lopez ; Angel Barriga Barros |
title_fullStr | Mining and control of network traffic by computational intelligence Federico Montesino Pouzols ; Diego R. Lopez ; Angel Barriga Barros |
title_full_unstemmed | Mining and control of network traffic by computational intelligence Federico Montesino Pouzols ; Diego R. Lopez ; Angel Barriga Barros |
title_short | Mining and control of network traffic by computational intelligence |
title_sort | mining and control of network traffic by computational intelligence |
topic | Data Mining (DE-588)4428654-5 gnd Traffic Engineering (DE-588)4699419-1 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Monitoring Informatik (DE-588)4522632-5 gnd Überlastkontrolle (DE-588)4521193-0 gnd Paketvermittlung (DE-588)4173101-3 gnd Soft Computing (DE-588)4455833-8 gnd Internet (DE-588)4308416-3 gnd Fuzzy-logisches Schließen (DE-588)4659944-7 gnd |
topic_facet | Data Mining Traffic Engineering Zeitreihenanalyse Monitoring Informatik Überlastkontrolle Paketvermittlung Soft Computing Internet Fuzzy-logisches Schließen |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=3623744&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021194641&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV020822171 |
work_keys_str_mv | AT montesinopouzolsfederico miningandcontrolofnetworktrafficbycomputationalintelligence AT lopezdiegor miningandcontrolofnetworktrafficbycomputationalintelligence AT barrigabarrosangel miningandcontrolofnetworktrafficbycomputationalintelligence |