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Knowledge and Data Management in GRIDs

Knowledge and Data Management in GRIDs

von: Domenico Talia, Angelos Bilas, Marios D. Dikaiakos (Eds.)

Springer Science + Business Media, 2007

ISBN: 9780387378312, 270 Seiten

Format: PDF, OL

Mac OSX,Windows PC Apple iPad, Android Tablet PC's Online-Lesen für: Linux,Mac OSX,Windows PC

Preis: 123,00 EUR

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Knowledge and Data Management in GRIDs


 

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