Grids, Clouds and Virtualization (eBook)

Preface 6
Acknowledgements 9
Contents 10
Contributors 12
Grids, Clouds, and Virtualization 15
1.1 Introduction 15
1.2 A Bit of History 16
1.3 Grids 19
1.4 Clouds 20
1.5 Virtualization 24
1.6 Technologies 26
1.7 The Economics 29
1.8 Applications 31
1.9 Conclusions 32
References 32
Quality of Service for I/O Workloads in Multicore Virtualized Servers 36
2.1 Introduction 36
2.2 Application Requirements for Performance Isolation on Shared Resources 38
2.3 Prevalent Commodity Virtualization Technologies and QoS Controls for I/ O Device Sharing 40
2.4 Review of I/O Virtualization Techniques 49
2.5 Enhancement to I/O Virtualization Architecture 51
2.6 Evaluation of Proposed Architecture 56
2.7 Simulation and Results 58
2.8 Conclusion 61
Appendix 62
References 65
Architectures for Enhancing Grid Infrastructures with Cloud Computing 67
3.1 Introduction 67
3.2 Grid Infrastructure Enhancement with Cloud Computing 68
3.3 Virtualization of Grid Sites 70
3.4 IaaS Delivery in Grid Sites 73
3.5 Cloud Scale-Out of Grid Sites 75
3.6 Federation of Grids and Clouds 76
3.7 Conclusions 78
References 79
Scientific Workflows in the Cloud 82
4.1 Introduction 82
4.2 Workflows in the Cloud 83
4.3 DeployingWorkflows in the Cloud 86
4.4 Case Study: Scientific Workflows on Amazon EC2 87
4.5 Challenges 98
4.6 Summary and Future Outlook 99
References 100
Auspice: Automatic Service Planning in Cloud/ Grid Environments 103
5.1 Introduction 103
5.2 Metadata Framework 105
5.3 Service Workflow Planning 108
5.4 Keyword Querying 111
5.5 Experimental Results 119
5.6 RelatedWorks 127
5.7 Conclusion 128
References 129
Parameter Sweep Job Submission to Clouds 132
6.1 Introduction 132
6.2 Principles of Parameter Sweep Job Submission by P- GRADE Portal 134
6.3 Principles of Parameter Sweep Job Submission to Various Grids by 3G Bridge 136
6.4 Variants of Creating 3G Bridge Cloud Plug-Ins 138
6.5 Performance Measurements 145
6.6 Related Research 147
6.7 Conclusion 148
References 149
Energy Aware Clouds 151
7.1 Introduction 151
7.2 Overview of Energy Aware Techniques for Clouds 152
7.3 Investigating the Energy Consumption of Virtual Machines 156
7.4 The Green Open Cloud 160
7.5 Scenario and Experimental Results 166
7.6 Conclusion 171
References 172
Jungle Computing: Distributed Supercomputing Beyond Clusters, Grids, and Clouds 175
8.1 Introduction 176
8.2 Jungle Computing Systems 177
8.3 Jungle Computing: Requirements and Methodologies 179
8.4 Ibis 182
8.5 The Need for Jungle Computing in Scientific Practice 189
8.6 Jungle Computing Experiments 194
8.7 Conclusions and Future Work 201
References 202
Application-Level Interoperability Across Grids and Clouds 206
9.1 Introduction 207
9.2 SAGA 209
9.3 SAGA-Based MapReduce 211
9.4 Application Level Interoperability: Three-Levels 214
9.5 Interoperability Experiments: Wordcount 215
9.6 Interoperability Experiments: Ensemble of Biomolecular Simulations 223
9.7 Future Work: Windows Azure 227
9.8 Discussion and Conclusions 233
References 235
Glossary 237
Index 238