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Contents
6
Foreword
8
Preface
10
Contributing Authors
14
I GRID DATA MANAGEMENT
19
ACCESSING DATA IN GRIDS USING OGSA-DAI
21
1. Introduction
22
2. Web Services and Grids
23
3. Architectural Requirements for Data Middleware
24
4. An Overview of OGSA-DAI
25
5. Activities and Perform Documents
28
6. How OGSA-DAI is being Used
30
7. Related Work
31
8. Importance of Standards
32
9. Conclusions
33
Acknowledgments
34
References
34
SERVICE CHOREOGRAPHY FOR DATA INTEGRATION ON THE GRID
37
1. Introduction
38
2. Background
39
3. Architecture and Service Interactions
41
4. The XMAP Integration Framework
43
5. Combining query processing and reformulation services
44
6. Conclusions
49
Acknowledgments
50
References
50
ACCESSING WEB DATABASES USING OGSA-DAI IN BDWORLD*
53
1. Introduction
54
2. Generic Bioinformatics Data Access and Integration Requirements
56
3. BDWorld Data Integration Issues
58
4. The BioDA Exemplar
60
5. Conclusion
65
Acknowledgments
66
References
66
FAILURE RECOVERY ALTERNATIVES IN GRID- BASED DISTRIBUTED QUERY PROCESSING: A CASE STUDY
69
1. Introduction
70
2. Related Work
70
3. Recovery Options
72
4. Implementation
74
5. Experimental Results
77
6. Conclusions
79
Acknowledgments
80
References
80
II GRID DATA STORAGE
83
CONDUCTOR: SUPPORT FOR AUTONOMOUS CONFIGURATION OF STORAGE SYSTEMS
85
1. Introduction
86
2. Related work
88
3. System Overview
89
4. Initial Configuration Mode
91
5. Evaluation
96
6. Conclusions and future work
98
Acknowledgments
99
References
99
VIOLIN: A FRAMEWORK FOR EXTENSIBLE BLOCK-LEVEL STORAGE
101
1. Introduction
102
2. System Architecture
103
3. Advanced Virtualization Scenarios
111
4. Related Work
114
5. Conclusions
115
Acknowledgments
115
References
115
CLUSTERIX DATA MANAGEMENT SYSTEM (CDMS) - ARCHITECTURE AND USE CASES *
117
1. Introduction
118
2. Data Management System
118
3. System Architecture
124
4. System Interface
126
5. Integration of End-User Applications with CDMS
127
6. Integration with GRMS
127
7. Related work
131
8. Conclusions
132
References
132
III SEMANTIC GRID
135
ARCHITECTURAL PATTERNS FOR THE SEMANTIC GRID *
137
1. Introduction
138
2. Semantic Grid concepts
139
3. The Grid scheduling use case
141
4. Service interaction patterns for the Semantic Grid
145
5. Discussion
148
6. Future Directions
150
References
151
A METADATA MODEL FOR THE DISCOVERY AND EXPLOITATION OF SCIENTIFIC STUDIES
153
1. Introduction
154
2. A Science Data Portal
155
3. The Metadata Structure
157
4. Metadata Conformance
162
5. An Example
162
6. Conclusions and Future Development
165
Acknowledgments
166
References
166
IDEAS FOR THE PROVISION OF ONTOLOGY ACCESS IN GRID ENVIRONMENTS
169
1. Introduction
170
2. Lessons Learnt from the Semantic Web
170
3. Possibilities for Providing Ontology Access in the Grid
171
4. WS-DAIOnt: a Proposal of an Ontology Access Mechanism in the Grid
183
5. Conclusions
185
Acknowledgments
185
References
185
SEMANTIC SUPPORT FOR META-SCHEDULING IN GRIDS
187
1. Introduction
188
2. Requirements for the Scheduling Domain Knowledge Model
191
3. A Semantic Model for Grid Scheduling
192
4. Environment for Semantic Exploitation
196
5. Future Perspectives
199
Acknowledgments
199
References
200
SEMANTIC GRID RESOURCE DISCOVERY IN ATLAS*
203
1. Introduction
204
2. Related Work
205
3. The P2P System Atlas
206
4. Atlas in Operation: Service Discovery in OntoKit
213
5. Conclusions
215
References
215
IV DISTRIBUTED DATA MINING
219
WSRF-BASED SERVICES FOR DISTRIBUTED DATA MINING
221
1. Introduction
222
2. SOA and the WS-Resource Framework
223
3. WSRF-based Data Mining Services
224
4. Application Modeling and Representation
230
5. WSRF Service Execution Performance
235
6. Related work
236
7. Conclusions
237
Acknowledgments
237
References
237
MINING FREQUENT CLOSED ITEMSETS FROM DISTRIBUTED REPOSITORIES
239
1. Introduction.
240
2. Frequent and Closed Itemsets
241
3. Distributed Frequent Itemsets
243
4. Distributed Frequent Closed Itemsets
245
5. Conclusion
250
References
250
DISTRIBUTED DATA MINING AND KNOWLEDGE MANAGEMENT WITH NETWORKS OF SENSOR ARRAYS
253
1. Introduction
254
2. Industrial context
255
3. Data mining in TELEMAC
256
4. The Grids context
260
5. Grids based approach to TELEMAC
263
Acknowledgments
267
References
267
Index
269
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