Cloud Computing Principles and Paradigms
Contents
Preface
Acknowledgments
Contributors
Part I: Foundations
1: Introduction to Cloud Computing: William Voorsluys, James Broberg, and Rajkumar Buyya
1.1: Cloud Computing in a Nutshell
1.2: Roots of Cloud Computing
1.3: Layers and Types of Clouds
1.4: Desired Features of a Cloud
1.5: Cloud Infrastructure Management
1.6: Infrastructure as a Service Providers
1.7: Platform as a Service Providers
1.8: Challenges and Risks
1.9: Summary
References
2: Migrating into a Cloud: T. S. Mohan
2.1: Introduction
2.2: Broad Approaches to Migrating into the Cloud
2.3: The Seven-Step Model of Migration into a Cloud
2.4: Conclusions
Acknowledgments
References
3: Enriching the 'Integration as a Service' Paradigm for the Cloud Era: Pethuru Raj
3.1: An Introduction
3.2: The Onset of Knowledge Era
3.3: The Evolution of SaaS
3.4: The Challenges of SaaS Paradigm
3.5: Approaching the SaaS Integration Enigma
3.6: New Integration Scenarios
3.7: The Integration Methodologies
3.8: SaaS Integration Products and Platforms
3.9: SaaS Integration Services
3.10: Businesses-to-Business Integration (B2Bi) Services
3.11: A Framework of Sensor—Cloud Integration [3]
3.12: SaaS Integration Appliances
3.13: Conclusion
References
4: The Enterprise Cloud Computing Paradigm: Tariq Ellahi, Benoit Hudzia, Hui Li, Maik A. Lindner, andPhilip Robinson
4.1: Introduction
4.2: Background
4.3: Issues for Enterprise Applications on the Cloud
4.4: Transition Challenges
4.5: Enterprise Cloud Technology and Market Evolution
4.6: Business Drivers Toward a Marketplace for Enterprise Cloud Computing
4.7: The Cloud Supply Chain
4.8: Summary
Acknowledgments
References
Part II: Infrastructure As A Service (IAAS)
5: Virtual Machines Provisioning and Migration Services: Mohamed El-Refaey
5.1: Introduction and Inspiration
5.2: Background and Related Work
5.3: Virtual Machines Provisioning and Manageability
5.4: Virtual Machine Migration Services
5.5: VM Provisioning and Migration in Action
5.6: Provisioning in the Cloud Context
5.7: Future Research Directions
5.8: Conclusion
References
6: On the Management of Virtual Machines for Cloud Infrastructures: Ignacio M. Llorente, Rube´ n S. Montero, Borja Sotomayor,David Breitgand, Alessandro Maraschini, Eliezer Levy, andBenny Rochwerger
6.1: The Anatomy of Cloud Infrastructures
6.2: Distributed Management of Virtual Infrastructures
6.3: Scheduling Techniques for Advance Reservation of Capacity
6.4: Capacity Management to meet SLA Commitments
6.5: Conclusions and Future Work
Acknowledgments
References
7: Enhancing Cloud Computing Environments Using a Cluster as a Service: Michael Brock and Andrzej Goscinski
7.1: Introduction
7.2: Related Work
7.3: RVWS Design
7.4: Cluster as a Service: The Logical Design
7.5: Proof of Concept
7.6: Future Research Directions
7.7: Conclusion
References
8: Secure Distributed Data Storage in Cloud Computing: Yu Chen, Wei-Shinn Ku, Jun Feng, Pu Liu, and Zhou Su
8.1: Introduction
8.2: Cloud Storage: from LANs TO WANs
8.3: Technologies for Data Security in Cloud Computing
8.4: Open Questions and Challenges
8.5: Summary
References
Part III: Platform And Software As A Service (PAAS/IAAS)
9: Aneka—Integration of Private and Public Clouds: Christian Vecchiola, Xingchen Chu, Michael Mattess, andRajkumar Buyya
9.1: Introduction
9.2: Technologies and Tools for Cloud Computing
9.3: Aneka Cloud Platform
9.4: Aneka Resource Provisioning Service
9.5: Hybrid Cloud Implementation
9.6: Visionary thoughts for Practitioners
9.7: Summary and Conclusions
Acknowledgments
References
10: CometCloud: An Autonomic Cloud Engine: Hyunjoo Kim and Manish Parashar
10.1: Introduction
10.2: CometCloud Architecture
10.3: Autonomic Behavior of CometCloud
10.4: Overview of CometCloud-based Applications
10.5: Implementation and Evaluation
10.6: Conclusion and Future Research Directions
Acknowledgments
References
11: T-Systems' Cloud-Based Solutions for Business Applications: Michael Pauly
11.1: Introduction
11.2: What Enterprises Demand of Cloud Computing
11.3: Dynamic ICT Services
11.4: Importance of Quality and Security in Clouds
11.5: Dynamic Data Center—Producing Business-ready, Dynamic ICT Services
11.6: Case Studies
11.7: Summary: Cloud Computing offers much more than Traditional Outsourcing
Acknowledgments
References
12: Workflow Engine for Clouds: Suraj Pandey, Dileban Karunamoorthy, and Rajkumar Buyya
12.1: Introduction
12.2: Background
12.3: Workflow Management Systems and Clouds
12.4: Architecture of Workflow Management Systems
12.5: Utilizing Clouds for Workflow Execution
12.6: Case Study: Evolutionary Multiobjective Optimizations
12.7: Visionary thoughts for Practitioners
12.8: Future Research Directions
12.9: Summary and Conclusions
Acknowledgments
References
13: Understanding Scientific Applications for Cloud Environments: Shantenu Jha, Daniel S. Katz, Andre Luckow,Andre Merzky, and Katerina Stamou
13.1: Introduction
13.2: A Classification of Scientific Applications and Services in the Cloud
13.3: SAGA-based Scientific Applications that Utilize Clouds
13.4: Discussion
13.5: Conclusions
References
14: The MapReduce Programming Model and Implementations: Hai Jin, Shadi Ibrahim, Li Qi, Haijun Cao, Song Wu, and Xuanhua Shi
14.1: Introduction
14.2: MapReduce Programming Model
14.3: Major MapReduce Implementations for the Cloud
14.4: MapReduce Impacts and Research Directions
14.5: Conclusion
Acknowledgments
References
Part IV: Monitoring And Management
15: An Architecture for Federated Cloud Computing: Benny Rochwerger, Constantino Va´ zquez, David Breitgand,David Hadas, Massimo Villari, Philippe Massonet, Eliezer Levy,Alex Galis, Ignacio M. Llorente, Rube´ n S. Montero,Yaron Wolfsthal, Kenneth Nagin, Lars Larsson, and Fermi´n Gala´ n
15.1: Introduction
15.2: A Typical Use Case
15.3: The Basic Principles of Cloud Computing
15.4: A Model for Federated Cloud Computing
15.5: Security Considerations
15.6: Summary and Conclusions
Acknowledgments
References
16: SLA Management in Cloud Computing: A Service Provider's Perspective: Sumit Bose, Anjaneyulu Pasala, Dheepak R. A,Sridhar Murthy and Ganesan Malaiyandisamy
16.1: Inspiration
16.2: Traditional Approaches to SLO Management
16.3: Types of SLA
16.4: Life Cycle of SLA
16.5: SLA Management in Cloud
16.6: Automated Policy- based Management
16.7: Conclusion
References
17: Performance Prediction for HPC on Clouds: Rocco Aversa, Beniamino Di Martino, Massimiliano Rak,Salvatore Venticinque, and Umberto Villano
17.1: Introduction
17.2: Background
17.3: Grid and Cloud
17.4: HPC in the Cloud: Performance-related Issues
17.5: Summary and Conclusions
References
Part V: Applications
18: Best Practices in Architecting Cloud Applications in the AWS Cloud: Jinesh Varia
18.1: Introduction
18.2: Background
18.3: Cloud Concepts
18.4: Cloud Best Practices
18.5: GrepTheWeb Case Study
18.6: Future Research Directions
18.7: Conclusion
Acknowledgments
References
19: Massively Multiplayer Online Game Hosting on Cloud Resources: Vlad Nae, Radu Prodan, and Alexandru Iosup
19.1: Introduction
19.2: Background
19.3: Related Work
19.4: Model
19.5: Experiments
19.6: Future Research Directions
19.7: Conclusions
Acknowledgments
References
20: Building Content Delivery Networks Using Clouds: James Broberg
20.1: Introduction
20.2: Background/Related Work
20.3: MetaCDN: Harnessing Storage Clouds for Low-Cost, High- Performance Content Delivery
20.4: Performance of the MetaCDN Overlay
20.5: Future Directions
20.6: Conclusion
Acknowledgments
References
21: Resource Cloud Mashups: Lutz Schubert, Matthias Assel, Alexander Kipp, and Stefan Wesner
21.1: Introduction
21.2: Concepts of a Cloud Mashup
21.3: Realizing Resource Mashups
21.4: Conclusions
References
Part VI: Governance And Case Studies
22: Organizational Readiness and Change Management in the Cloud Age: Robert Lam
22.1: Introduction
22.2: Basic Concept of Organizational Readiness
22.3: Drivers for Changes: A Framework to Comprehend the Competitive Environment
22.4: Common Change Management Models
22.5: Change Management Maturity Model (CMMM)
22.6: Organizational Readiness Self- Assessment: (Who, When, Where, and How)
22.7: Discussion
22.8: Conclusion
Acknowledgments
References
23: Data Security in the Cloud: Susan Morrow
23.1: An Introduction to the Idea of Data Security
23.2: The Current State of Data Security in the Cloud
23.3: Homo Sapiens and Digital Information
23.4: Cloud Computing and Data Security Risk
23.5: Cloud Computing and Identity
23.6: The Cloud, Digital Identity, and Data Security
23.7: Content Level Security—Pros and Cons
23.8: Future Research Directions
23.9: Conclusion
Acknowledgments
Further Reading
References
24: Legal Issues in Cloud Computing: Janine Anthony Bowen
24.1: Introduction
24.2: Data Privacy and Security Issues
24.3: Cloud Contracting models
24.4: Jurisdictional Issues Raised by Virtualization and Data Location
24.5: Commercial and Business Considerations—A Cloud User's Viewpoint
24.6: Special Topics
24.7: Conclusion
24.8: Epilogue
References
25: Achieving Production Readiness for Cloud Services: Wai-Kit Cheah and Henry Kasim
25.1: Introduction
25.2: Service Management
25.3: Producer Consumer Relationship
25.4: Cloud Service Life Cycle
25.5: Production Readiness
25.6: Assessing Production Readiness
25.7: Summary
References
Index