A framework for autonomic service-based resource management using a semantic approach:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
2011
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| Schlagworte: | |
| Online-Zugang: | Volltext https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20111125-1081798-1-2 Inhaltsverzeichnis |
| Beschreibung: | XIV, 160 S. graph. Darst. |
Internformat
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Datensatz im Suchindex
| _version_ | 1804148784772415488 |
|---|---|
| adam_text | CONTENTS
1 INTRODUCTION 1
1.1 OVERVIEW 1
1.2 IT COMPLEXITY 1
1.2.1 ORIGIN OF IT COMPLEXITY 2
1.2.1.1 SYSTEM SCALABILITY 2
1.2.1.2 RAPID RATE OF CHANGE 2
1.2.1.3 RESOURCE DIVERSITY 3
1.2.2 LOWERING THE IT COMPLEXITY 3
1.2.3 OUR PROPOSED SOLUTION 3
1.3 CONTEXT 5
1.3.1 THE GERMAN FINANCIAL SERVICE GRID 5
1.3.2 END-TO-END SYSTEM AUTOMATION FOR GREEN IT 5
1.4 RELATED CONCEPTS 6
1.4.1 SERVICE-ORIENTED COMPUTING 6
1.4.2 GRID COMPUTING 7
1.4.2.1 SERVICE-ORIENTED ARCHITECTURE AND THE GRID . 7
1.4.2.2 ACCESSING RESOURCES THROUGH SERVICES 8
1.4.3 AUTONOMIC COMPUTING 9
1.4.4 SEMANTIC APPROACH 10
1.5 METHODOLOGY AND STRUCTURE OF THIS WORK 10
2 KNOWLEDGE REPRESENTATION AND ONTOLOGY ENGINEERING 13
2.1 OVERVIEW 13
2.2 KNOWLEDGE REPRESENTATION PROBLEM - 13
2.2.1 LEVELS OF KNOWLEDGE REPRESENTATION 15
2.3 APPROACHES TO KNOWLEDGE REPRESENTATION 17
2.3.1 SEMANTIC NETWORKS 17
2.3.2 PRODUCTION RULE SYSTEMS 19
2.3.3 LOGIC 20
2.3.4 FIRST-ORDER LOGIC (FOL) 21
2.3.4.1 SYNTAX 21
VII
HTTP://D-NB.INFO/1060808625
CONTENTS
2.3.4.2 SEMANTICS 22
2.3.4.3 PRAGMATICS 24
2.3.4.4 PROOF THEORY 25
2.4 ANALYSIS OF METHODS OF KNOWLEDGE REPRESENTATION 26
2.4.1 ANALYSIS OF PRODUCTION RULES SYSTEMS 26
2.4.1.1 ADVANTAGES 26
2.4.1.2 DISADVANTAGES 27
2.4.2 ANALYSIS OF SEMANTIC NETWORKS . . . 27
2.4.2.1 ADVANTAGES 27
2.4.2.2 DISADVANTAGES 28
2.4.3 ANALYSIS OF LOGIC AS KNOWLEDGE REPRESENTATION LANGUAGE 29
2.4.3.1 ADVANTAGES 29
2.4.3.2 DISADVANTAGES 29
2.5 ONTOLOGY AND ONTOLOGY ENGINEERING METHODOLOGY 30
2.5.1 ONTOLOGY 30
2.5.1.1 DEFINITION 30
2.5.1.2 FORMS AND FORMALISMS OF ONTOLOGIES 30
2.5.2 ONTOLOGY ENGINEERING 32
2.5.3 DESIGN PRINCIPLES 33
2.5.4 ONTOLOGY LANGUAGES 35
2.5.4.1 ONTOLOGY LANGUAGES TAXONOMIES 35
2.5.4.2 LANGUAGES 36
2.6 SUMMARY 37
3 SERVICE ORIENTATION AND SEMANTIC APPROACH 39
3.1 OVERVIEW 39
3.2 WISDOM HIERARCHY 39
3.3 SYSTEM ORGANIZATION 41
3.3.1 THE CASE FOR A HOMOGENEOUS AND INTEGRATED SYSTEM . . 43
3.3.2 SERVICE-ORIENTATION (DIVIDE AND CONQUER) 44
3.3.3 THE NEED FOR THE KNOWLEDGE LEVEL 45
3.3.3.1 EFFECTS OF THE LACK OF INFORMATION 45
3.3.3.2 AFFECTED TASKS DUE TO LACK OF INFORMATION . . 46
3.4 SEMANTICALLY AUGMENTED RESOURCES 47
3.4.1 BENEFITING FROM SEMANTIC AUGMENTATION AT DIFFERENT LAYERS 47
3.4.2 DESIGN ISSUES 47
3.5 CAPTURING THE SEMANTIC DATA 48
3.5.1 SERVICE DEFINITION ABSTRACTION LEVEL 48
3.5.2 SERVICE DESCRIPTION DEVELOPMENT PROCESS 49
3.5.3 SERVICE DEFINITION ORIGINAL SOURCE 49
3.5.4 USED APPROACH 50
VIII
CONTENTS
3.6 MANAGING RESOURCES 51
3.6.1 MANAGING RESOURCES AS SERVICES 51
3.6.2 REPRESENTING RESOURCES AS SERVICES 52
3.7 MODELING RESOURCES 52
3.7.1 RESOURCE CONCEPTS 53
3.7.1.1 PROPERTY 53
3.7.1.2 STATE 54
3.7.1.3 CAPABILITY 54
3.7.1.4 REPRESENTATION 55
3.7.1.5 DESCRIPTION 55
3.7.1.6 POLICY 55
3.7.1.7 OWNER 55
3.7.2 RELATIONSHIP BETWEEN RESOURCES, CONCEPTS AND SERVICE
REPRESENTATION 55
3.7.2.1 SERVICE INTERFACE 56
3.7.2.2 SERVICE SEMANTIC 56
3.7.3 RESOURCE ONTOLOGY 57
3.7.3.1 ONTOLOGY CLASSES, PROPERTIES AND INDIVIDUALS . 58
3.8 RELATED WORK 60
3.8.1 SEMANTIC WEB SERVICES 60
3.8.2 RULES AND POLICY LANGUAGES 61
3.8.3 AUTONOMIC COMPUTING 62
3.9 SUMMARY 63
4 MANAGED RESOURCE FRAMEWORK 65
4.1 OVERVIEW 65
4.2 FROM SEMANTIC REPRESENTATION TO SERVICE REPRESENTATION .... 65
4.3 AUTOMATIC PROGRAMMING 66
4.4 MANAGED RESOURCE ARCHIVE 66
4.4.1 CONSTITUENTS 68
4.4.1.1 SERVICE REPRESENTATION 68
4.4.1.2 SERVICE STUB 68
4.4.1.3 PROXY LIBRARY 68
4.4.1.4 PROXY SOURCE 69
4.4.1.5 HTML DOCUMENTATION 69
4.4.1.6 SERVICE CONTRACT 69
4.4.1.7 SEMANTIC REPRESENTATION 69
4.4.2 DIRECTORY STRUCTURE 70
4.4.3 TRADITIONAL SERVICE CONTAINERS AND MRA-CAPABLE CON
TAINERS 73
4.5 RESOURCE CAPABILITIES DEFINITION 73
IX
CONTENTS
4.5.1 FUNCTIONAL CAPABILITIES 73
4.5.2 MANAGEMENT CAPABILITIES 74
4.5.3 PROVIDING AN IMPLEMENTATION FOR THE CAPABILITIES .... 75
4.6 UNDER THE HOOD 76
4.7 BUILT-IN CAPABILITIES 77
4.8 WRITING A SEMANTIC DESCRIPTION 79
4.9 SERVICE CONTRACT GENERATION 82
4.10 ARCHITECTURAL VIEWS 90
4.10.1 GENERAL VIEW 90
4.10.2 COMPONENT VIEW 92
4.10.2.1 RESOURCE CONFIGURATION 92
4.10.2.2 SEMANTIC PARSER 93
4.10.2.3 RESOURCE ARTIFACTS GENERATOR 93
4.10.2.4 ONLINE DOCUMENTATION GENERATOR 94
4.10.2.5 SOURCE CODE GENERATOR 95
4.10.2.6 BUILDERS AND PACKAGER 95
4.10.3 OTHER DIAGRAMS 100
4.11 SUMMARY 100
5 SEMANTIC RESOURCE MANAGEMENT INFRASTRUCTURE 103
5.1 OVERVIEW 103
5.2 AUTONOMIC MANAGEMENT 103
5.2.1 MINIMAL REQUIREMENT FOR THE SELF-MANAGED SYSTEM . . . 105
5.2.2 CONCEPTUAL MODEL 106
5.3 MAPE IMPLEMENTATION IN SRMI 106
5.4 DOMAIN-SPECIFIC INFERENCE ENGINE (DSIE) 106
5.4.1 DOMAIN-BASED MANAGEMENT 107
5.4.2 DOMAIN LOGIC 108
5.4.3 SCHEMA AND MODEL INSTANCES 110
5.4.4 GENERIC REASONER 110
5.4.5 CUSTOM REASONER = GENERIC REASONER + DOMAIN LOGIC 110
5.4.6 SPECIALIZED REASONER = CUSTOM REASONER + SCHEMA . ILL
5.4.7 DSIE = SPECIALIZED REASONER + MODEL INSTANCES ... ILL
5.4.8 COMPOSING DSIES FROM NON-GENERIC REASONERS 112
5.5 ORGANIZATION OF THE DSIES AND THE KNOWLEDGE BASE 112
5.6 ARCHITECTURAL VIEWS 114
5.6.1 GENERAL VIEW 114
5.6.2 COMPONENTS VIEW 114
5.6.2.1 SERVICE DEPLOYER 114
5.6.2.2 MRCONTAINER 114
5.6.2.3 RESOURCE REGISTRY 116
X
CONTENTS
5.6.2.4 AUTOMATION ENGINE 117
5.6.2.5 REASONER FACTORY 119
5.6.2.6 CONTROLLER 119
5.6.2.7 MONITOR 121
5.7 SUMMARY 121
6 SEROM PROTOTYPE 125
6.1 MANAGED RESOURCE FRAMEWORK 125
6.2 SEMANTIC RESOURCE MANAGEMENT INFRASTRUCTURE 133
6.3 FINGRID ACCOUNTING AND BILLING 135
6.3.1 ACCOUNTING SERVICE 135
6.3.1.1 RESOURCE USAGE SPECIFICATION OVERVIEW .... 135
6.3.1.2 USAGE RECORDS 136
6.3.1.3 METRICS 136
6.3.1.4 COLLECTOR AGENT 137
6.3.1.5 UR REPOSITORY 137
6.3.1.6 RESOURCE USAGE SPECIFICATION DETAILS 137
6.3.2 BILLING SERVICE 139
6.3.2.1 BILLING RULES 140
6.3.2.2 BILLING ARCHITECTURE 140
6.3.2.3 BILLING PORTAL 140
6.3.2.4 FINGRID BILLING SERVICE 140
6.3.3 USE CASE 141
6.4 GREEN IT 142
6.4.1 BACKGROUND AND OBJECTIVE 142
6.4.2 USE CASE 143
6.5 SUMMARY 145
7 CONCLUSION 147
7.1 SUMMARY 147
7.2 FUTURE WORK 148
7.2.1 MRF PROJECT MANAGEMENT INTERFACE 148
7.2.2 REACTION RULES 148
7.2.3 CLOUD COMPUTING 149
XI
|
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| spelling | Haitof, Houssam Verfasser aut A framework for autonomic service-based resource management using a semantic approach Houssam Haitof 2011 XIV, 160 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier München, Techn. Univ., Diss., 2011 Informationstechnik (DE-588)4026926-7 gnd rswk-swf Betriebsmittelverwaltung (DE-588)4417917-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Informationstechnik (DE-588)4026926-7 s Betriebsmittelverwaltung (DE-588)4417917-0 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:91-diss-20111125-1081798-1-2 http://mediatum.ub.tum.de/node?id=1081798 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20111125-1081798-1-2 Resolving-System DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024709782&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Haitof, Houssam A framework for autonomic service-based resource management using a semantic approach Informationstechnik (DE-588)4026926-7 gnd Betriebsmittelverwaltung (DE-588)4417917-0 gnd |
| subject_GND | (DE-588)4026926-7 (DE-588)4417917-0 (DE-588)4113937-9 |
| title | A framework for autonomic service-based resource management using a semantic approach |
| title_auth | A framework for autonomic service-based resource management using a semantic approach |
| title_exact_search | A framework for autonomic service-based resource management using a semantic approach |
| title_full | A framework for autonomic service-based resource management using a semantic approach Houssam Haitof |
| title_fullStr | A framework for autonomic service-based resource management using a semantic approach Houssam Haitof |
| title_full_unstemmed | A framework for autonomic service-based resource management using a semantic approach Houssam Haitof |
| title_short | A framework for autonomic service-based resource management using a semantic approach |
| title_sort | a framework for autonomic service based resource management using a semantic approach |
| topic | Informationstechnik (DE-588)4026926-7 gnd Betriebsmittelverwaltung (DE-588)4417917-0 gnd |
| topic_facet | Informationstechnik Betriebsmittelverwaltung Hochschulschrift |
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