Cafaro / Aloisio Grids, Clouds and Virtualization

1. Auflage 2010
ISBN: 978-0-85729-049-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 235 Seiten

Reihe: Computer Communications and Networks

Research into grid computing has been driven by the need to solve large-scale, increasingly complex problems for scientific applications. Yet the applications of grid computing for business and casual users did not begin to emerge until the development of the concept of cloud computing, fueled by advances in virtualization techniques, coupled with the increased availability of ever-greater Internet bandwidth. The appeal of this new paradigm is mainly based on its simplicity, and the affordable price for seamless access to both computational and storage resources. This timely text/reference introduces the fundamental principles and techniques underlying grids, clouds and virtualization technologies, as well as reviewing the latest research and expected future developments in the field. Readers are guided through the key topics by internationally recognized experts, enabling them to develop their understanding of an area likely to play an ever more significant role in coming years. Topics and features: presents contributions from an international selection of experts in the field; provides a thorough introduction and overview of existing technologies in grids, clouds and virtualization, including a brief history of the field; examines the basic requirements for performance isolation of virtual machines on multi-core servers, analyzing a selection of system virtualization technologies; examines both business and scientific applications of grids and clouds, including their use in the life sciences and for high-performance computing; explores cloud building technologies, architectures for enhancing grid infrastructures with cloud computing, and cloud performance; discusses energy aware grids and clouds, workflows on grids and clouds, and cloud and grid programming models. This useful text will enable interested readers to familiarize themselves with the key topics of grids, clouds and virtualization, and to contribute to new advances in the field. Researchers, undergraduate and graduate students, system designers and programmers, and IT policy makers will all benefit from the material covered.

Autoren/Hrsg.

Cafaro, Massimo

Aloisio, Giovanni

Inhaltsverzeichnis

1;Preface;6
2;Acknowledgements;9
3;Contents;10
4;Contributors;12
5;Grids, Clouds, and Virtualization;15
5.1;1.1 Introduction;15
5.2;1.2 A Bit of History;16
5.3;1.3 Grids;19
5.4;1.4 Clouds;20
5.5;1.5 Virtualization;24
5.6;1.6 Technologies;26
5.7;1.7 The Economics;29
5.8;1.8 Applications;31
5.9;1.9 Conclusions;32
5.10;References;32
6;Quality of Service for I/O Workloads in Multicore Virtualized Servers;36
6.1;2.1 Introduction;36
6.2;2.2 Application Requirements for Performance Isolation on Shared Resources;38
6.3;2.3 Prevalent Commodity Virtualization Technologies and QoS Controls for I/ O Device Sharing;40
6.4;2.4 Review of I/O Virtualization Techniques;49
6.5;2.5 Enhancement to I/O Virtualization Architecture;51
6.6;2.6 Evaluation of Proposed Architecture;56
6.7;2.7 Simulation and Results;58
6.8;2.8 Conclusion;61
6.9;Appendix;62
6.10;References;65
7;Architectures for Enhancing Grid Infrastructures with Cloud Computing;67
7.1;3.1 Introduction;67
7.2;3.2 Grid Infrastructure Enhancement with Cloud Computing;68
7.3;3.3 Virtualization of Grid Sites;70
7.4;3.4 IaaS Delivery in Grid Sites;73
7.5;3.5 Cloud Scale-Out of Grid Sites;75
7.6;3.6 Federation of Grids and Clouds;76
7.7;3.7 Conclusions;78
7.8;References;79
8;Scientific Workflows in the Cloud;82
8.1;4.1 Introduction;82
8.2;4.2 Workflows in the Cloud;83
8.3;4.3 DeployingWorkflows in the Cloud;86
8.4;4.4 Case Study: Scientific Workflows on Amazon EC2;87
8.5;4.5 Challenges;98
8.6;4.6 Summary and Future Outlook;99
8.7;References;100
9;Auspice: Automatic Service Planning in Cloud/ Grid Environments;103
9.1;5.1 Introduction;103
9.2;5.2 Metadata Framework;105
9.3;5.3 Service Workflow Planning;108
9.4;5.4 Keyword Querying;111
9.5;5.5 Experimental Results;119
9.6;5.6 RelatedWorks;127
9.7;5.7 Conclusion;128
9.8;References;129
10;Parameter Sweep Job Submission to Clouds;132
10.1;6.1 Introduction;132
10.2;6.2 Principles of Parameter Sweep Job Submission by P- GRADE Portal;134
10.3;6.3 Principles of Parameter Sweep Job Submission to Various Grids by 3G Bridge;136
10.4;6.4 Variants of Creating 3G Bridge Cloud Plug-Ins;138
10.5;6.5 Performance Measurements;145
10.6;6.6 Related Research;147
10.7;6.7 Conclusion;148
10.8;References;149
11;Energy Aware Clouds;151
11.1;7.1 Introduction;151
11.2;7.2 Overview of Energy Aware Techniques for Clouds;152
11.3;7.3 Investigating the Energy Consumption of Virtual Machines;156
11.4;7.4 The Green Open Cloud;160
11.5;7.5 Scenario and Experimental Results;166
11.6;7.6 Conclusion;171
11.7;References;172
12;Jungle Computing: Distributed Supercomputing Beyond Clusters, Grids, and Clouds;175
12.1;8.1 Introduction;176
12.2;8.2 Jungle Computing Systems;177
12.3;8.3 Jungle Computing: Requirements and Methodologies;179
12.4;8.4 Ibis;182
12.5;8.5 The Need for Jungle Computing in Scientific Practice;189
12.6;8.6 Jungle Computing Experiments;194
12.7;8.7 Conclusions and Future Work;201
12.8;References;202
13;Application-Level Interoperability Across Grids and Clouds;206
13.1;9.1 Introduction;207
13.2;9.2 SAGA;209
13.3;9.3 SAGA-Based MapReduce;211
13.4;9.4 Application Level Interoperability: Three-Levels;214
13.5;9.5 Interoperability Experiments: Wordcount;215
13.6;9.6 Interoperability Experiments: Ensemble of Biomolecular Simulations;223
13.7;9.7 Future Work: Windows Azure;227
13.8;9.8 Discussion and Conclusions;233
13.9;References;235
14;Glossary;237
15;Index;238