Grids, Clouds and Virtualization

Preface

Acknowledgements

Contents

Contributors

Grids, Clouds, and Virtualization

1.1 Introduction

1.2 A Bit of History

1.3 Grids

1.4 Clouds

1.5 Virtualization

1.6 Technologies

1.7 The Economics

1.8 Applications

1.9 Conclusions

References

Quality of Service for I/O Workloads in Multicore Virtualized Servers

2.1 Introduction

2.2 Application Requirements for Performance Isolation on Shared Resources

2.3 Prevalent Commodity Virtualization Technologies and QoS Controls for I/ O Device Sharing

2.4 Review of I/O Virtualization Techniques

2.5 Enhancement to I/O Virtualization Architecture

2.6 Evaluation of Proposed Architecture

2.7 Simulation and Results

2.8 Conclusion

Appendix

References

Architectures for Enhancing Grid Infrastructures with Cloud Computing

3.1 Introduction

3.2 Grid Infrastructure Enhancement with Cloud Computing

3.3 Virtualization of Grid Sites

3.4 IaaS Delivery in Grid Sites

3.5 Cloud Scale-Out of Grid Sites

3.6 Federation of Grids and Clouds

3.7 Conclusions

References

Scientific Workflows in the Cloud

4.1 Introduction

4.2 Workflows in the Cloud

4.3 DeployingWorkflows in the Cloud

4.4 Case Study: Scientific Workflows on Amazon EC2

4.5 Challenges

4.6 Summary and Future Outlook

References

Auspice: Automatic Service Planning in Cloud/ Grid Environments

5.1 Introduction

5.2 Metadata Framework

5.3 Service Workflow Planning

5.4 Keyword Querying

5.5 Experimental Results

5.6 RelatedWorks

5.7 Conclusion

References

Parameter Sweep Job Submission to Clouds

6.1 Introduction

6.2 Principles of Parameter Sweep Job Submission by P- GRADE Portal

6.3 Principles of Parameter Sweep Job Submission to Various Grids by 3G Bridge

6.4 Variants of Creating 3G Bridge Cloud Plug-Ins

6.5 Performance Measurements

6.6 Related Research

6.7 Conclusion

References

Energy Aware Clouds

7.1 Introduction

7.2 Overview of Energy Aware Techniques for Clouds

7.3 Investigating the Energy Consumption of Virtual Machines

7.4 The Green Open Cloud

7.5 Scenario and Experimental Results

7.6 Conclusion

References

Jungle Computing: Distributed Supercomputing Beyond Clusters, Grids, and Clouds

8.1 Introduction

8.2 Jungle Computing Systems

8.3 Jungle Computing: Requirements and Methodologies

8.4 Ibis

8.5 The Need for Jungle Computing in Scientific Practice

8.6 Jungle Computing Experiments

8.7 Conclusions and Future Work

References

Application-Level Interoperability Across Grids and Clouds

9.1 Introduction

9.2 SAGA

9.3 SAGA-Based MapReduce

9.4 Application Level Interoperability: Three-Levels

9.5 Interoperability Experiments: Wordcount

9.6 Interoperability Experiments: Ensemble of Biomolecular Simulations

9.7 Future Work: Windows Azure

9.8 Discussion and Conclusions

References

Glossary

Index