Description
Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making.- Explains how to balance cloud computing functionality with data center efficiency- Covers key requirements for power management, cooling, server planning, virtualization, and storage management- Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations- Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development
Table of Contents
Part I: Foundation1. Introduction2. Understanding Business Needs3. Common Challenges of Framing Business ProblemsPart II: Data Centers4. Data Center Facility Planning, Site Selection and Space5. Power Management6. Cooling Strategies7. Physical SecurityPart III: Infrastructure8. Servers9. Storage10. Network11. Virtualization12. Service OrchestrationPart IV: Cost Modeling13. Model Frameworks14. Leveraging ResourcesPart V: Strategic Decision Making15. Monte Carlo Simulation16. Real Option Theory17. The Art of Critical Decision Making for Cloud Computing Investments18. Market-Oriented Cloud Computing
