Book 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
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Acknowledgments
-
Part I: Cloud Computing Foundations and Business Requirements
- Part I. Cloud Computing Foundations and Business Requirements
- Chapter 1. Cloud Computing
-
Chapter 2. Business Needs
- 2.1 Introduction
- 2.2 Project Contents and Processes
- 2.3 Allocate the Right People for the Right Job
- 2.4 Business Analyst Role
- 2.5 Defining Business
- 2.6 Business Variables
- 2.7 Classification of Business Requirements
- 2.8 E2E Process of Business Problem Solving
- 2.9 Managing Expectations
- 2.10 Summary
- 2.11 Review Questions
- Chapter 3. Identifying Business Problems: A Case Study
-
Part II: Data Center Facilities and Cost
- Part II. Data Center Facilities and Cost
- Chapter 4. Data Center Facilities
- Chapter 5. Data Center Power
- Chapter 6. Power Distribution Unit and Cabling
- Chapter 7. Data Center Cooling
- Chapter 8. Effective Air Distribution in Data Centers
-
Chapter 9. Cooling Strategy
- 9.1 Cooling Control for Wiring Closets
- 9.2 Room-Based Cooling
- 9.3 Row-Based Cooling
- 9.4 Rack-Based Cooling
- 9.5 Comparison of Room-, Row-, and Rack-Based Cooling
- 9.6 Rack Rear Door–Based Cooling Strategy
- 9.7 Raising the Data Center Temperature
- 9.8 Free Cooling Using Economizers
- 9.9 Summary
- 9.10 Review Questions
-
Chapter 10. Fire Suppression and On-Site Security
- 10.1 Introduction
- 10.2 Issues with Traditional Fire Suppression Systems
- 10.3 Fire Classification and Standards
- 10.4 Fire Suppression Solution Selection
- 10.5 Inert Gases, Halocarbons, and Aerosol
- 10.6 Fire Suppression System Cost for Data Centers
- 10.7 Summary of Fire Suppression Selection
- 10.8 On-Site or Physical Security
- 10.9 Physical Layers
- 10.10 Organizational Layer
- 10.11 Establishing Physical Security
- 10.12 Summary
- 10.13 Review Questions
- Part III: Cloud Infrastructure and Management
- Part IV: Cloud Computing Cost Models and Framework
-
Part V: Cloud Strategy and Critical Decision Making
- Part V. Cloud Strategy and Critical Decision Making
- Chapter 17. Cost Model Calculation
-
Chapter 18. Real Option Theory and Monte Carlo Simulation
- 18.1 Overview of Real Option Theory
- 18.2 History of Real Options
- 18.3 What are Real Options?
- 18.4 Possible Real Options
- 18.5 Real Options versus Financial Options
- 18.6 Real Options versus Traditional Approaches
- 18.7 What is Monte Carlo Simulation (MCS)?
- 18.8 Random Numbers and Brownian Motion
- 18.9 MCS and ROT Process
- 18.10 Summary of MCS and ROT Concepts
- 18.11 MCS Analysis Process Details
- 18.12 Real Option Theory Analysis Process Details
- 18.13 Real Option Theory Process Equations
- 18.14 Summary
- 18.15 Review Questions
-
Appendices
- Appendix A Catalogue of Major IT Project Catastrophe
- Appendix B An Example of BRD Template
- Appendix C Global Data Center Map (100 Countries and 3236 Data Centers for Colocation in 2014 Based on datacentermap.com)
- Appendix D Comparison of Different Cost Models
- Appendix E Nineteen Free Cloud Storage Options (2013 Data)
- Appendix F List of Different Cost Model Analysis
- Appendix G Server Products Provided by Major Server Different Vendors
- Appendix H TIA-942 Telecommunication Infrastructure Standard for Data Center Tier
- References
- Index
Product information
- Title: Cloud Data Centers and Cost Modeling
- Author(s):
- Release date: February 2015
- Publisher(s): Morgan Kaufmann
- ISBN: 9780128016886
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