Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Aachen
Shaker
2012
|
| Schriftenreihe: | Berichte aus der Informatik
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | VIII, 193 S. graph. Darst. 22 cm, 323 g |
| ISBN: | 9783844013450 |
Internformat
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| 245 | 1 | 0 | |a Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems |c David Kramer |
| 264 | 1 | |a Aachen |b Shaker |c 2012 | |
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| 490 | 0 | |a Berichte aus der Informatik | |
| 502 | |a Zugl.: Karlsruhe, Karlsruher Inst. für Technologie, Diss., 2012 | ||
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Datensatz im Suchindex
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|---|---|
| adam_text | IMAGE 1
CONTENTS
1 INTRODUCTION 1
1.1 BACKGROUND A N D MOTIVATION 1
1.2 CHALLENGES A N D CONTRIBUTIONS 3
1.2.1 CHALLENGES 3
1.2.2 CONTRIBUTIONS 5
1.3 THESIS ORGANIZATION 7
2 FUNDAMENTALS 9
2.1 SELF-X PROPERTIES 9
2.2 BASIC ARCHITECTURES FOR SELF-ORGANIZING SYSTEMS 10
2.2.1 SENSE, PLAN A N D A C T ARCHITECTURE 11
2.2.2 T H R E E L A Y E R ARCHITECTURE 11
2.2.3 M A P E - C Y C L E 12
2.2.4 OBSERVER / CONTROLLER-ARCHITECTURE 13
2.3 ADAPTIVE C O M P U T I N G SYSTEMS 15
2.3.1 SOFTWARE-BASED ADAPTIVE SYSTEMS 16
2.3.2 HARDWARE-BASED ADAPTIVE SYSTEMS 16
2.4 SELF-ORGANIZING A N D SELF-ADAPTIVE SYSTEMS 19
2.5 SELF-HEALING A N D SELF-PROTECTING SYSTEMS 2 1
2.6 S U M M A R Y A N D CONCLUSION 2 2
3 DIGITAL ON DEMAND COMPUTING ORGANISM (DODORG) 23
3.1 G O A L S A N D OVERVIEW 2 3
3.2 ORGANIC PROCESSING CELLS 2 4
3.3 ORGANIC MIDDLEWARE 2 7
3.4 ORGANIC T H E R M A L M A N A G E M E N T 2 8
3.5 S U M M A R Y 31
4 A MONITORING INFRASTRUCTURE FOR ADAPTIVE, HETEROGENEOUS MANY-CORE
ARCHITECTURES 33
4.1 INTRODUCTION AND REQUIREMENTS 3 3
4.2 RELATED W O R K 3 5
4.2.1 BASIC MONITORING - PROFILING A N D HARDWARE PERFORMANCE COUNTERS 3
5 4.2.2 APPLICATION-SPECIFIC MONITORING APPROACHES 3 7
I
HTTP://D-NB.INFO/1025724127
IMAGE 2
CONTENTS
4.2.3 MONITORING INFRASTRUCTURES FOR PARALLEL SYSTEMS 3 8
4.2.4 S U M M A R Y O F RELATED WORK 3 9
4.3 DISTRIBUTED, HIERARCHICAL MONITORING APPROACH 4 0
4.4 UNIFORM EVENT CODING A N D EVENT SPACE 4 3
4.5 ASSOCIATIVE COUNTER ARRAY 4 4
4.5.1 OVERVIEW A N D STRUCTURE 4 5
4.5.2 ADAPTIVITY 4 6
4.6 LOW-LEVEL MONITORING 4 9
4.6.1 CENTRAL CONTROL U N I T 5 0
4.6.2 CENTRAL BUFFER 5 0
4.6.3 NOTIFICATION SYSTEM 5 0
4.7 HIGH-LEVEL MONITORING 51
4.7.1 DATA STRUCTURES 5 2
4.7.2 MONITORING CONTROL UNIT 5 2
4.7.3 ANALYSIS MODULES 5 3
4.8 EVALUATION A N D RESULTS 5 3
4.8.1 EVALUATION O F A C A S 5 3
4.8.2 PROTOTYPICAL A C A HARDWARE IMPLEMENTATION 5 9
4.8.3 NETWORK UTILIZATION 6 0
4.9 CONCLUSION 6 2
5 SELF-AWARENESS - SYSTEM STATE EVALUATION 65
5.1 INTRODUCTION 6 5
5.2 RELATED WORK 6 7
5.3 PROBLEM ANALYSIS A N D FORMULATION 7 0
5.4 A FLEXIBLE, RULE-BASED APPROACH FOR SYSTEM STATE EVALUATION 7 3
5.4.1 OVERVIEW 7 3
5.4.2 EVENT EVALUATION RULES A N D TRANSFER FUNCTION 7 3
5.4.3 AGGREGATION FUNCTIONS AND THE AGGREGATION S C H E M E 7 6
5.4.4 UPDATING O F EVALUATION RULES AT RUNTIME 7 8
5.5 EVALUATION A N D RESULTS 7 9
5.5.1 SYSTEM FITNESS VALUE DETERMINATION 7 9
5.5.2 OVERHEAD EVALUATION 8 3
5.5.3 RULE UPDATING DURING RUNTIME 8 3
5.5.4 OPTIMIZATION E X A M P L E 8 4
5.6 CONCLUSION 8 4
6 SELF-CONFIGURING MONITORING 87
6.1 INTRODUCTION 8 7
6.2 RELATED WORK 8 8
II
IMAGE 3
CONTENTS
6.3 CORRELATION-BASED A P P R O A C H FOR SELF-CONFIGURATION O F THE
MONITORING IN FRASTRUCTURE 8 9
6.3.1 PEARSON P R O D U C T - M O M E N T CORRELATION COEFFICIENT 9 0
6.3.2 OVERVIEW 9 0
6.4 EVALUATION A N D RESULTS 9 2
6.5 CONCLUSIONS 9 6
7 SELF-AWARENESS - SYSTEM STATE DEFINITION 97
7.1 INTRODUCTION 9 7
7.2 RELATED WORK 9 9
7.3 FUNDAMENTALS 101
7.3.1 K - M E A N S CLUSTERING 102
7.3.2 ROC-ALGORITHM 104
7.4 A N UNSUPERVISED CLUSTERING-BASED A P P R O A C H FOR SYSTEM STATE
DEFINITION IN HETEROGENEOUS, ADAPTIVE SYSTEMS 106
7.4.1 OVERVIEW 106
7.4.2 ALGORITHM ANALYSIS 106
7.4.3 D A T A GENERATION 108
7.4.4 ADAPTIVITY 109
7.5 EVALUATION A N D RESULTS 110
7.5.1 EXPERIMENTAL SETUP 110
7.5.2 INITIAL CLUSTERING 112
7.5.3 HANDLING N O I S Y TRAINING D A T A 114
7.5.4 HANDLING N O I S Y S Y S T E M STATES 116
7.6 CONCLUSION 117
8 A REINFORCEMENT LEARNING-BASED SELF-OPTIMIZING SYSTEM 119
8.1 INTRODUCTION 119
8.2 BACKGROUND AND RELATED W O R K 120
8.3 FUNDAMENTALS 123
8.3.1 REINFORCEMENT LEARNING 123
8.3.2 LEARNING CLASSIFIER SYSTEM 124
8.4 SELF-OPTIMIZATION USING A REINFORCEMENT LEARNING-BASED APPROACH . .
. 125 8.4.1 OVERVIEW 127
8.4.2 LEARNING CLASSIFIER TABLE 128
8.4.3 R U L E CREATION A N D FITNESS VALUE UPDATE 128
8.4.4 R U L E SELECTOR 129
8.5 EVALUATION 130
8.5.1 EXPERIMENTAL SETUP 130
8.5.2 OPTIMIZATION R U L E GENERATION 131
8.5.3 PERFORMING SINGLE OPTIMIZATIONS 133
8.5.4 PERFORMING MULTIPLE OPTIMIZATIONS 136
III
IMAGE 4
CONTENTS
8.6 CONCLUSIONS 137
9 STATE PREDICTION IN SELF-ORGANIZING, ADAPTIVE COMPUTING S Y S T E M S
139 9.1 INTRODUCTION 139
9.2 RELATED WORK 140
9.3 FUNDAMENTALS 142
9.3.1 MARKOV CHAINS 142
9.3.2 MARKOV PREDICTORS 143
9.4 A MARKOV CHAIN-BASED APPROACH FOR ONLINE STATE PREDICTION 144
9.4.1 ANALYSIS O F MARKOV-BASED PREDICTORS 145
9.4.2 R U N LENGTH ENCODING MARKOV PREDICTOR-BASED A P P R O A C H 145
9.4.3 PHASE LENGTH ADJUSTMENT 146
9.5 EVALUATION A N D RESULTS 147
9.5.1 EXPERIMENTAL SETUP 147
9.5.2 EVALUATION O F THE R L E M A R K O V PREDICTOR 147
9.5.3 EVALUATION O F THE PREDICTIVE MODEL WITH A-PRIORI KNOWLEDGE . . .
149
9.6 CONCLUSION 151
10 REALIZING A PROACTIVE SYSTEM BEHAVIOR 153
10.1 INTRODUCTION AND MOTIVATION 153
10.2 RELATED WORK 154
10.3 OVERVIEW 155
10.4 EVALUATION 156
10.4.1 EXPERIMENTAL SETUP 156
10.4.2 USING INFORMATION FROM REACTIVE LEARNING 158
10.4.3 N E W LEARNING PHASE 160
10.5 CONCLUSION 161
11 CONCLUSIONS AND OUTLOOK 163
11.1 S U M M A R Y 163
11.2 OUTLOOK 165
IV
|
| any_adam_object | 1 |
| author | Kramer, David 1980- |
| author_GND | (DE-588)1029220832 |
| author_facet | Kramer, David 1980- |
| author_role | aut |
| author_sort | Kramer, David 1980- |
| author_variant | d k dk |
| building | Verbundindex |
| bvnumber | BV040798877 |
| classification_rvk | ST 302 |
| ctrlnum | (OCoLC)823936129 (DE-599)DNB1025724127 |
| 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 |
| dewey-sort | 14.2 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Thesis Book |
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| id | DE-604.BV040798877 |
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| indexdate | 2024-07-10T00:34:07Z |
| institution | BVB |
| isbn | 9783844013450 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025779018 |
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| physical | VIII, 193 S. graph. Darst. 22 cm, 323 g |
| publishDate | 2012 |
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| publisher | Shaker |
| record_format | marc |
| series2 | Berichte aus der Informatik |
| spelling | Kramer, David 1980- Verfasser (DE-588)1029220832 aut Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems David Kramer Aachen Shaker 2012 VIII, 193 S. graph. Darst. 22 cm, 323 g txt rdacontent n rdamedia nc rdacarrier Berichte aus der Informatik Zugl.: Karlsruhe, Karlsruher Inst. für Technologie, Diss., 2012 Heterogenes Netzwerk (DE-588)4620176-2 gnd rswk-swf Selbst organisierendes System (DE-588)4054424-2 gnd rswk-swf Benchmark (DE-588)4144457-7 gnd rswk-swf Prädiktor (DE-588)4121498-5 gnd rswk-swf Rekonfiguration (DE-588)4306238-6 gnd rswk-swf Proaktives Computing (DE-588)7531850-7 gnd rswk-swf Mehrkernprozessor (DE-588)7598578-0 gnd rswk-swf Monitoring Informatik (DE-588)4522632-5 gnd rswk-swf Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Mehrkernprozessor (DE-588)7598578-0 s Selbst organisierendes System (DE-588)4054424-2 s Proaktives Computing (DE-588)7531850-7 s Heterogenes Netzwerk (DE-588)4620176-2 s Rekonfiguration (DE-588)4306238-6 s Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 s Monitoring Informatik (DE-588)4522632-5 s Prädiktor (DE-588)4121498-5 s Benchmark (DE-588)4144457-7 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025779018&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kramer, David 1980- Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems Heterogenes Netzwerk (DE-588)4620176-2 gnd Selbst organisierendes System (DE-588)4054424-2 gnd Benchmark (DE-588)4144457-7 gnd Prädiktor (DE-588)4121498-5 gnd Rekonfiguration (DE-588)4306238-6 gnd Proaktives Computing (DE-588)7531850-7 gnd Mehrkernprozessor (DE-588)7598578-0 gnd Monitoring Informatik (DE-588)4522632-5 gnd Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd |
| subject_GND | (DE-588)4620176-2 (DE-588)4054424-2 (DE-588)4144457-7 (DE-588)4121498-5 (DE-588)4306238-6 (DE-588)7531850-7 (DE-588)7598578-0 (DE-588)4522632-5 (DE-588)4825546-4 (DE-588)4113937-9 |
| title | Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems |
| title_auth | Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems |
| title_exact_search | Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems |
| title_full | Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems David Kramer |
| title_fullStr | Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems David Kramer |
| title_full_unstemmed | Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems David Kramer |
| title_short | Self-awareness in heterogeneous, adaptive many-core architectures enabling proactive, self-optimizing systems |
| title_sort | self awareness in heterogeneous adaptive many core architectures enabling proactive self optimizing systems |
| topic | Heterogenes Netzwerk (DE-588)4620176-2 gnd Selbst organisierendes System (DE-588)4054424-2 gnd Benchmark (DE-588)4144457-7 gnd Prädiktor (DE-588)4121498-5 gnd Rekonfiguration (DE-588)4306238-6 gnd Proaktives Computing (DE-588)7531850-7 gnd Mehrkernprozessor (DE-588)7598578-0 gnd Monitoring Informatik (DE-588)4522632-5 gnd Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd |
| topic_facet | Heterogenes Netzwerk Selbst organisierendes System Benchmark Prädiktor Rekonfiguration Proaktives Computing Mehrkernprozessor Monitoring Informatik Bestärkendes Lernen Künstliche Intelligenz Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025779018&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT kramerdavid selfawarenessinheterogeneousadaptivemanycorearchitecturesenablingproactiveselfoptimizingsystems |