book

Cloud Computing: Principles and Paradigms

Name: Cloud Computing: Principles and Paradigms
ISBN: 9780470887998

by Rajkumar Buyya, James Broberg, Andrzej Goscinski

March 2011

Intermediate to advanced

663 pages

19h 56m

English

Wiley

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Copyright
PREFACE
ORGANIZATION OF THE BOOK
ACKNOWLEDGMENTS
CONTRIBUTORS
I. FOUNDATIONS
1. INTRODUCTION TO CLOUD COMPUTING
1.1. CLOUD COMPUTING IN A NUTSHELL1.2. ROOTS OF CLOUD COMPUTING1.2.1. From Mainframes to Clouds1.2.2. SOA, Web Services, Web 2.0, and Mashups1.2.3. Grid Computing1.2.4. Utility Computing1.2.5. Hardware Virtualization1.2.6. Virtual Appliances and the Open Virtualization Format1.2.7. Autonomic Computing1.3. LAYERS AND TYPES OF CLOUDS1.3.1. Infrastructure as a Service1.3.2. Platform as a Service1.3.3. Software as a Service1.3.4. Deployment Models1.4. DESIRED FEATURES OF A CLOUD1.4.1. Self-Service1.4.2. Per-Usage Metering and Billing1.4.3. Elasticity1.4.4. Customization1.5. CLOUD INFRASTRUCTURE MANAGEMENT1.5.1. Features1.5.2. Case Studies1.6. INFRASTRUCTURE AS A SERVICE PROVIDERS1.6.1. Features1.6.2. Case Studies1.7. PLATFORM AS A SERVICE PROVIDERS1.7.1. Features1.7.2. Case Studies1.8. CHALLENGES AND RISKS1.8.1. Security, Privacy, and Trust1.8.2. Data Lock-In and Standardization1.8.3. Availability, Fault-Tolerance, and Disaster Recovery1.8.4. Resource Management and Energy-Efficiency1.9. SUMMARY1.10. REFERENCES
2. MIGRATING INTO A CLOUD
2.1. INTRODUCTION2.1.1. The Promise of the Cloud2.1.2. The Cloud Service Offerings and Deployment Models2.1.3. Challenges in the Cloud2.2. BROAD APPROACHES TO MIGRATING INTO THE CLOUD2.2.1. Why Migrate?2.2.2. Deciding on the Cloud Migration2.3. THE SEVEN-STEP MODEL OF MIGRATION INTO A CLOUD2.3.1. Migration Risks and Mitigation2.4. CONCLUSIONS2.5. ACKNOWLEDGMENTS2.6. REFERENCES
3. ENRICHING THE 'INTEGRATION AS A SERVICE' PARADIGM FOR THE CLOUD ERA
3.1. AN INTRODUCTION3.2. THE ONSET OF KNOWLEDGE ERA3.3. THE EVOLUTION OF SaaS3.4. THE CHALLENGES OF SaaS PARADIGM3.5. APPROACHING THE SaaS INTEGRATION ENIGMA3.6. NEW INTEGRATION SCENARIOS3.7. THE INTEGRATION METHODOLOGIES3.8. SaaS INTEGRATION PRODUCTS AND PLATFORMS3.8.1. Jitterbit [4]3.8.2. Boomi Software [5]3.8.3. Bungee Connect [6]3.8.4. OpSource Connect [7]3.8.5. SnapLogic [8]3.8.6. The Pervasive DataCloud [9]3.8.7. Bluewolf [10]3.8.8. Online MQ3.8.9. CloudMQ [15]3.8.10. Linxter3.9. SaaS INTEGRATION SERVICES3.9.1. Informatica On-Demand [11]3.9.2. Microsoft Internet Service Bus (ISB) [13]3.10. BUSINESSES-TO-BUSINESS INTEGRATION (B2Bi) SERVICES3.11. A FRAMEWORK OF SENSOR—CLOUD INTEGRATION [3]3.12. SaaS INTEGRATION APPLIANCES3.13. CONCLUSION3.14. REFERENCES
4. THE ENTERPRISE CLOUD COMPUTING PARADIGM
4.1. INTRODUCTION4.2. BACKGROUND4.2.1. Relevant Deployment Models for Enterprise Cloud Computing4.2.2. Adoption and Consumption Strategies4.3. ISSUES FOR ENTERPRISE APPLICATIONS ON THE CLOUD4.3.1. Considering Transactional and Analytical Capabilities4.4. TRANSITION CHALLENGES4.5. ENTERPRISE CLOUD TECHNOLOGY AND MARKET EVOLUTION4.5.1. Technology Drivers for Enterprise Cloud Computing Evolution4.6. BUSINESS DRIVERS TOWARD A MARKETPLACE FOR ENTERPRISE CLOUD COMPUTING4.7. THE CLOUD SUPPLY CHAIN4.8. SUMMARY4.9. ACKNOWLEDGMENTS4.10. REFERENCES
II. INFRASTRUCTURE AS A SERVICE (IAAS)

5. VIRTUAL MACHINES PROVISIONING AND MIGRATION SERVICES
5.1. INTRODUCTION AND INSPIRATION5.2. BACKGROUND AND RELATED WORK5.2.1. Virtualization Technology Overview5.2.2. Public Cloud and Infrastructure Services5.2.3. Private Cloud and Infrastructure Services5.2.4. Distributed Management of Virtualization5.2.5. High Availability5.2.6. Cloud and Virtualization Standardization Efforts5.2.7. OCCI and OGF5.3. VIRTUAL MACHINES PROVISIONING AND MANAGEABILITY5.3.1. VM Provisioning Process5.4. VIRTUAL MACHINE MIGRATION SERVICES5.4.1. Migrations Techniques5.4.2. VM Migration, SLA and On-Demand Computing5.4.3. Migration of Virtual Machines to Alternate Platforms5.5. VM PROVISIONING AND MIGRATION IN ACTION5.5.1. VM Life Cycle and VM Monitoring5.5.2. Live Migration5.5.3. Final Thoughts about the Example5.6. PROVISIONING IN THE CLOUD CONTEXT5.6.1. Amazon Elastic Compute Cloud5.6.2. Infrastructure Enabling Technology5.6.3. Eucalyptus5.6.4. VM Dynamic Management Using OpenNebula5.6.5. Aneka5.7. FUTURE RESEARCH DIRECTIONS5.8. CONCLUSION5.9. REFERENCES
6. ON THE MANAGEMENT OF VIRTUAL MACHINES FOR CLOUD INFRASTRUCTURES
6.1. THE ANATOMY OF CLOUD INFRASTRUCTURES6.1.1. Distributed Management of Virtual Machines6.1.2. Reservation-Based Provisioning of Virtualized Resources6.1.3. Provisioning to Meet SLA Commitments6.2. DISTRIBUTED MANAGEMENT OF VIRTUAL INFRASTRUCTURES6.2.1. VM Model and Life Cycle6.2.2. VM Management6.2.3. Further Reading on OpenNebula6.3. SCHEDULING TECHNIQUES FOR ADVANCE RESERVATION OF CAPACITY6.3.1. Existing Approaches to Capacity Reservation6.3.2. Reservations with VMs6.3.3. Leasing Model6.3.4. Lease Scheduling6.3.5. Further Reading on Lease-Based Resource Management6.4. CAPACITY MANAGEMENT TO MEET SLA COMMITMENTS6.4.1. Infrastructure SLAs6.4.2. Policy-Driven Probabilistic Admission Control6.4.3. Policy-Driven Placement Optimization6.4.4. Infrastructure-Level Management Goals and Policies6.4.5. State of the Art6.5. CONCLUSIONS AND FUTURE WORK6.6. ACKNOWLEDGMENTS6.7. REFERENCES
7. ENHANCING CLOUD COMPUTING ENVIRONMENTS USING A CLUSTER AS A SERVICE
7.1. INTRODUCTION7.2. RELATED WORK7.2.1. Amazon Elastic Compute Cloud (EC2)7.2.2. Google App Engine7.2.3. Microsoft Windows Azure7.2.4. Salesforce7.2.5. Cloud Summary7.3. RVWS DESIGN7.3.1. Dynamic Attribute Exposure7.3.2. Stateful WSDL Document Creation7.3.3. Publication in RVWS7.3.4. Automatic Discovery and Selection7.4. CLUSTER AS A SERVICE: THE LOGICAL DESIGN7.4.1. CaaS Overview7.4.2. Cluster Stateful WSDL Document7.4.3. CaaS Service Design7.4.4. User Interface: CaaS Web Pages7.5. PROOF OF CONCEPT7.5.1. CaaS Technology Implementation7.5.2. Cluster Behind the CaaS7.5.3. Experiments and Results7.6. FUTURE RESEARCH DIRECTIONS7.7. CONCLUSION7.8. REFERENCES
8. SECURE DISTRIBUTED DATA STORAGE IN CLOUD COMPUTING
8.1. INTRODUCTION8.2. CLOUD STORAGE: FROM LANs TO WANs8.2.1. Moving From LANs to WANs8.2.2. Existing Commercial Cloud Services8.2.3. Vulnerabilities in Current Cloud Services8.2.4. Bridge the Missing Link8.3. TECHNOLOGIES FOR DATA SECURITY IN CLOUD COMPUTING8.3.1. Database Outsourcing and Query Integrity Assurance8.3.2. Data Integrity in Untrustworthy Storage8.3.3. Web-Application-Based Security8.3.4. Multimedia Data Security Storage8.4. OPEN QUESTIONS AND CHALLENGES8.4.1. Concerns at Different Levels8.4.2. Technical and Nontechnical Challenges8.5. SUMMARY8.6. REFERENCES
III. PLATFORM AND SOFTWARE AS A SERVICE (PaaS/IaaS)
9. ANEKA—INTEGRATION OF PRIVATE AND PUBLIC CLOUDS
9.1. INTRODUCTION9.2. TECHNOLOGIES AND TOOLS FOR CLOUD COMPUTING9.3. ANEKA CLOUD PLATFORM9.4. ANEKA RESOURCE PROVISIONING SERVICE9.4.1. Resource Provisioning Scenario9.5. HYBRID CLOUD IMPLEMENTATION9.5.1. Design and Implementation Guidelines9.5.2. Aneka Hybrid Cloud Architecture9.5.3. Use Case—The Amazon EC2 Resource Pool9.5.4. Implementation Steps for Aneka Resource Provisioning Service9.6. VISIONARY THOUGHTS FOR PRACTITIONERS9.7. SUMMARY AND CONCLUSIONS9.8. ACKNOWLEDGMENTS9.9. REFERENCES
10. CometCloud: AN AUTONOMIC CLOUD ENGINE
10.1. INTRODUCTION10.2. CometCloud ARCHITECTURE10.2.1. CometCloud Layered Abstractions10.2.2. Comet Space10.3. AUTONOMIC BEHAVIOR OF CometCloud10.3.1. Autonomic Cloudbursting10.3.2. Autonomic Cloudbridging10.3.3. Other Autonomic Behaviors10.4. OVERVIEW OF CometCloud-BASED APPLICATIONS10.4.1. Value at Risk (VaR)10.4.2. Image Registration10.5. IMPLEMENTATION AND EVALUATION10.5.1. Evaluation of CometCloud10.5.2. Application Runtime10.5.3. Autonomic Cloudbursts Behaviors10.6. CONCLUSION AND FUTURE RESEARCH DIRECTIONS10.7. ACKNOWLEDGMENTS10.8. REFERENCES
11. T-SYSTEMS' CLOUD-BASED SOLUTIONS FOR BUSINESS APPLICATIONS
11.1. INTRODUCTION11.2. WHAT ENTERPRISES DEMAND OF CLOUD COMPUTING11.2.1. Changing Markets11.2.2. Increased Productivity11.2.3. Rising Cost Pressure11.3. DYNAMIC ICT SERVICES11.3.1. Steps Toward Industrialized ICT11.3.2. Customization through Modularization11.3.3. Integrated Creation of ICT Services11.4. IMPORTANCE OF QUALITY AND SECURITY IN CLOUDS11.4.1. Quality (End-to-End SLAs)11.4.2. Compliance and Security11.5. DYNAMIC DATA CENTER—PRODUCING BUSINESS-READY, DYNAMIC ICT SERVICES11.5.1. Flexibility Across All Modules11.5.2. T-Systems' Core Cloud Modules: Computing, Storage11.5.3. Dynamic Services—A Brief Overview11.5.4. Dynamic Data Centers Across the Globe11.6. CASE STUDIES11.6.1. Example: Dynamic Infrastructure Services11.6.2. Example: Dynamic Services for SAP11.6.3. DKK: Europe's Largest SAP Installation Is Run in a Private Cloud11.6.4. Migrating Globally Distributed SAP Systems to a Dynamic Platform11.7. SUMMARY: CLOUD COMPUTING OFFERS MUCH MORE THAN TRADITIONAL OUTSOURCING11.8. ACKNOWLEDGMENTS11.9. REFERENCES
12. WORKFLOW ENGINE FOR CLOUDS
12.1. INTRODUCTION12.2. BACKGROUND12.3. WORKFLOW MANAGEMENT SYSTEMS AND CLOUDS12.3.1. Architectural Overview12.4. ARCHITECTURE OF WORKFLOW MANAGEMENT SYSTEMS12.5. UTILIZING CLOUDS FOR WORKFLOW EXECUTION12.5.1. Aneka12.5.2. Aneka Web Services12.5.3. General Approach12.5.4. Tools for Utilizing Clouds in WfMS12.6. CASE STUDY: EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATIONS12.6.1. Objectives12.6.2. Workflow Solution12.6.3. Deployment and Results12.7. VISIONARY THOUGHTS FOR PRACTITIONERS12.8. FUTURE RESEARCH DIRECTIONS12.9. SUMMARY AND CONCLUSIONS12.10. ACKNOWLEDGMENTS12.11. REFERENCES
13. UNDERSTANDING SCIENTIFIC APPLICATIONS FOR CLOUD ENVIRONMENTS
13.1. INTRODUCTION13.1.1. Fundamental Issues13.2. A CLASSIFICATION OF SCIENTIFIC APPLICATIONS AND SERVICES IN THE CLOUD13.2.1. Software as a Service (SaaS) Layer13.2.2. Platform as a Service (PaaS) Layer13.2.3. Infrastructure-as-a-Service Layer13.2.4. Discussion of Cloud Models13.3. SAGA-BASED SCIENTIFIC APPLICATIONS THAT UTILIZE CLOUDS13.3.1. MapReduce13.3.2. SAGA Montage13.3.3. Ensemble of Biomolecular Simulations13.4. DISCUSSION13.4.1. IDEAS Revisited13.4.2. Interoperability of Scientific Applications across Clouds and HPC/Grids13.4.3. Application Performance Considerations13.5. CONCLUSIONS13.6. REFERENCES
14. THE MapReduce PROGRAMMING MODEL AND IMPLEMENTATIONS
14.1. INTRODUCTION14.2. MapReduce PROGRAMMING MODEL14.2.1. The Wordcount Example14.2.2. Main Features14.2.3. Execution Overview14.2.4. Spotlight on Google MapReduce Implementation14.3. MAJOR MapReduce IMPLEMENTATIONS FOR THE CLOUD14.3.1. Hadoop14.3.2. Disco14.3.3. Mapreduce.NET14.3.4. Skynet14.3.5. GridGain14.4. MapReduce IMPACTS AND RESEARCH DIRECTIONS14.5. CONCLUSION14.5.1. Acknowledgments14.6. REFERENCES
IV. MONITORING AND MANAGEMENT
15. AN ARCHITECTURE FOR FEDERATED CLOUD COMPUTING
15.1. INTRODUCTION15.2. A TYPICAL USE CASE15.2.1. SAP Systems15.2.2. The Virtualized Data Center Use Case15.2.3. Primary Requirements15.3. THE BASIC PRINCIPLES OF CLOUD COMPUTING15.3.1. Federation15.3.2. Independence15.3.3. Isolation15.3.4. Elasticity15.3.5. Business Orientation15.3.6. Trust15.4. A MODEL FOR FEDERATED CLOUD COMPUTING15.4.1. Features of Federation Types15.4.2. Federation Scenarios15.4.3. Layers Enhancement for Federation15.5. SECURITY CONSIDERATIONS15.5.1. External Threats15.5.2. Internal Threats15.6. SUMMARY AND CONCLUSIONS15.6.1. Acknowledgments15.7. REFERENCES
16. SLA MANAGEMENT IN CLOUD COMPUTING: A SERVICE PROVIDER'S PERSPECTIVE
16.1. INSPIRATION16.2. TRADITIONAL APPROACHES TO SLO MANAGEMENT16.2.1. Load Balancing16.2.2. Admission Control16.3. TYPES OF SLA16.4. LIFE CYCLE OF SLA16.5. SLA MANAGEMENT IN CLOUD16.5.1. Feasibility Analysis16.5.2. On-Boarding of Application16.5.3. Preproduction16.5.4. Production16.5.5. Termination16.6. AUTOMATED POLICY-BASED MANAGEMENT16.7. CONCLUSION16.8. REFERENCES
17. PERFORMANCE PREDICTION FOR HPC ON CLOUDS
17.1. INTRODUCTION17.2. BACKGROUND17.3. GRID AND CLOUD17.3.1. Grid and Cloud as Alternatives17.3.2. Grid and Cloud Integration17.4. HPC IN THE CLOUD: PERFORMANCE-RELATED ISSUES17.4.1. HPC Systems and HPC on Clouds: A Performance Comparison17.4.2. Supporting HPC in the Cloud17.5. SUMMARY AND CONCLUSIONS17.6. REFERENCES
V. APPLICATIONS
18. BEST PRACTICES IN ARCHITECTING CLOUD APPLICATIONS IN THE AWS CLOUD
18.1. INTRODUCTION18.2. BACKGROUND18.2.1. Business Benefits of Cloud Computing18.2.2. Technical Benefits of Cloud Computing18.2.3. Understanding the Amazon Web Services Cloud18.3. CLOUD CONCEPTS18.3.1. Building Scalable Architectures18.3.2. Understanding Elasticity18.3.3. Not Fearing Constraints18.3.4. Virtual Administration18.4. CLOUD BEST PRACTICES18.4.1. Design for Failure and Nothing Will Fail18.4.2. Decouple your Components18.4.3. Implement Elasticity18.4.4. Think Parallel18.4.5. Keep Dynamic Data Closer to the Compute and Static Data Closer to the End User18.4.6. Security Best Practices18.5. GREPTHEWEB CASE STUDY18.5.1. Architecture18.5.2. Workflow18.5.3. Implementing Best Practices18.5.4. GrepTheWeb Hadoop implementation18.6. FUTURE RESEARCH DIRECTIONS18.7. CONCLUSION18.8. ACKNOWLEDGMENTS18.9. REFERENCES
19. MASSIVELY MULTIPLAYER ONLINE GAME HOSTING ON CLOUD RESOURCES
19.1. INTRODUCTION19.2. BACKGROUND19.2.1. MMOG19.2.2. Virtualization19.3. RELATED WORK19.4. MODEL19.4.1. Application19.4.2. Hosting19.4.3. Operation19.4.4. Virtualization Model19.5. EXPERIMENTS19.5.1. Setup19.5.2. Impact of Virtualized Hosting on MMOG Hosting19.5.3. Impact of Data Center Policies on MMOG Hosting19.6. FUTURE RESEARCH DIRECTIONS19.7. CONCLUSIONS19.8. ACKNOWLEDGMENTS19.9. REFERENCES
20. BUILDING CONTENT DELIVERY NETWORKS USING CLOUDS
20.1. INTRODUCTION20.2. BACKGROUND/RELATED WORK20.2.1. Amazon Simple Storage and CloudFront20.2.2. Nirvanix Storage Delivery Network20.2.3. Rackspace Cloud Files20.2.4. Azure Storage Service20.2.5. Encoding Services20.3. MetaCDN: HARNESSING STORAGE CLOUDS FOR LOW-COST, HIGH-PERFORMANCE CONTENT DELIVERY20.3.1. Integrating "Cloud Storage" Providers20.3.2. Overall Design and Architecture of the System20.3.3. Integration of Geo-IP Services and Google Maps20.3.4. Load Balancing via DNS and HTTP20.4. PERFORMANCE OF THE MetaCDN OVERLAY20.5. FUTURE DIRECTIONS20.6. CONCLUSION20.7. ACKNOWLEDGMENTS20.8. REFERENCES
21. RESOURCE CLOUD MASHUPS
21.1. INTRODUCTION21.1.1. A Need for Cloud Mashups21.2. CONCEPTS OF A CLOUD MASHUP21.2.1. The Problem of Interoperability21.2.2. Intelligent Image Handling21.2.3. Intelligent Data Management21.3. REALIZING RESOURCE MASHUPS21.3.1. Distributed Decision Making21.4. CONCLUSIONS21.4.1. Applying Resource Mashups21.4.2. Benefits and Obstacles21.5. REFERENCES
VI. GOVERNANCE AND CASE STUDIES
22. ORGANIZATIONAL READINESS AND CHANGE MANAGEMENT IN THE CLOUD AGE
22.1. INTRODUCTION22.1.1. The Context22.1.2. The Take Away22.2. BASIC CONCEPT OF ORGANIZATIONAL READINESS22.2.1. A Case Study: Waiting in Line for a Special Concert Ticket22.2.2. What Do People Fear?22.3. DRIVERS FOR CHANGES: A FRAMEWORK TO COMPREHEND THE COMPETITIVE ENVIRONMENT22.3.1. Economic (Global and Local, External and Internal)22.3.2. Legal, Political, and Regulatory Compliance22.3.3. Environmental (Industry Structure and Trends)22.3.4. Technology Developments and Innovation22.3.5. Sociocultural (Markets and Customers)22.3.6. Creating a Winning Environment22.4. COMMON CHANGE MANAGEMENT MODELS22.4.1. Lewin's Change Management Model22.4.2. Deming Cycle (Plan, Do, Study, Act)22.4.3. A Proposed Working Model: CROPS Change Management Framework22.5. CHANGE MANAGEMENT MATURITY MODEL (CMMM)22.5.1. A Case Study: AML Services Inc.22.6. ORGANIZATIONAL READINESS SELF-ASSESSMENT: (WHO, WHEN, WHERE, AND HOW)22.7. DISCUSSION22.7.1. Case Study: EnCana CORP.22.8. CONCLUSION22.8.1. Going Forward22.9. ACKNOWLEDGMENTS22.10. REFERENCES
23. DATA SECURITY IN THE CLOUD
23.1. AN INTRODUCTION TO THE IDEA OF DATA SECURITY23.2. THE CURRENT STATE OF DATA SECURITY IN THE CLOUD23.3. HOMO SAPIENS AND DIGITAL INFORMATION23.4. CLOUD COMPUTING AND DATA SECURITY RISK23.5. CLOUD COMPUTING AND IDENTITY23.5.1. Identity, Reputation, and Trust23.5.2. Identity for Identity's Sake23.5.3. Cloud Identity: User-Centric and Open-Identity Systems23.5.4. The Philosophy of User-Centric Identity23.5.5. User-Centric but Manageable23.5.6. What Is an Information Card?23.5.7. Using Information Cards to Protect Data23.5.8. Weakness and Strengths of Information Cards23.5.9. Cross-Border Aspects of Information Cards23.6. THE CLOUD, DIGITAL IDENTITY, AND DATA SECURITY23.7. CONTENT LEVEL SECURITY—PROS AND CONS23.8. FUTURE RESEARCH DIRECTIONS23.9. CONCLUSION23.10. ACKNOWLEDGMENTS23.11. FURTHER READING23.12. REFERENCES
24. LEGAL ISSUES IN CLOUD COMPUTING
24.1. INTRODUCTION24.1.1. Objective of Chapter24.1.2. Definition of Cloud Computing24.1.3. Overview of Legal Issues24.1.4. Distinguishing Cloud Computing from Outsourcing and Provision of Application Services24.2. DATA PRIVACY AND SECURITY ISSUES24.2.1. U.S. Data Breach Notification Requirements24.2.2. U.S. Federal Law Compliance24.2.3. International Data Privacy Compliance24.3. CLOUD CONTRACTING MODELS24.3.1. Licensing Agreements Versus Services Agreements24.3.2. On-Line Agreements Versus Standard Contracts24.3.3. The Importance of Privacy Policies Terms and Conditions24.4. JURISDICTIONAL ISSUES RAISED BY VIRTUALIZATION AND DATA LOCATION24.4.1. Virtualization and Multi-tenancy24.4.2. The Issues Associated with the Flexibility of Data-Location24.4.3. Other Jurisdiction Issues24.4.4. International Conflicts of Laws24.5. COMMERCIAL AND BUSINESS CONSIDERATIONS—A CLOUD USER'S VIEWPOINT24.5.1. Minimizing Risk24.5.2. Viability of the Cloud Provider24.5.3. Protecting a Cloud User's Access to Its Data24.6. SPECIAL TOPICS24.6.1. The Cloud Open-Source Movement24.6.2. Litigation Issues/e-Discovery24.7. CONCLUSION24.8. EPILOGUE24.9. REFERENCES
25. ACHIEVING PRODUCTION READINESS FOR CLOUD SERVICES
25.1. INTRODUCTION25.2. SERVICE MANAGEMENT25.3. PRODUCER–CONSUMER RELATIONSHIP25.3.1. Business Mindset25.3.2. Direct Versus Indirect Distribution25.3.3. Quality of Service and Value Composition25.3.4. Charging Model25.4. CLOUD SERVICE LIFE CYCLE25.4.1. Service Strategy25.4.2. Service Design25.4.3. Service Transition25.4.4. Service Operation25.4.5. Continuous Service Improvement25.5. PRODUCTION READINESS25.6. ASSESSING PRODUCTION READINESS25.6.1. Service Facilities Readiness25.6.2. Service Infrastructure Readiness25.6.3. Service Technology Readiness25.6.4. Monitoring Readiness25.6.5. Service Measurement Readiness25.6.6. Service Documentation25.6.7. Communication Readiness25.6.8. Service Operational Readiness25.6.9. Key Performance Indicators (KPIs)25.6.10. Acceptance Testing25.7. SUMMARY25.8. REFERENCES

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Cloud Computing: Principles and Paradigms

by Rajkumar Buyya, James Broberg, Andrzej Goscinski

Part I. FOUNDATIONS

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.