Cloud Data Centers and Cost Modeling

A Complete Guide To Planning, Designing and Building a Cloud Data Center

1st Edition - February 27, 2015
Authors: Caesar Wu, Rajkumar Buyya
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 0 1 4 1 3 - 4
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 0 1 6 8 8 - 6

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… Read more

Purchase options

SUSTAINABLE DEVELOPMENT

Innovate. Sustain. Transform.

Save up to 30% on top Physical Sciences & Engineering titles!

Explore now

Physical science & engineering for sustainable development book covers

Institutional subscription on ScienceDirect

Request a sales quote

Resources

Textbook support for instructors(opens in new tab/window)

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.

Preface
- Organisation of the Book
Acknowledgments
Part I: Cloud Computing Foundations and Business Requirements
- Part I. Cloud Computing Foundations and Business Requirements
- Chapter 1. Cloud Computing
  - 1.1 Introduction
  - 1.2 Cloud Computing at a Glance
  - 1.3 Right Approach to Definition
  - 1.4 A Brief History of Cloud Computing Definitions
  - 1.5 Parallel Computing
  - 1.6 Distributed Computing
  - 1.7 Grid Computing
  - 1.8 Utility Computing
  - 1.9 Cloud Computing
  - 1.10 Summary
  - 1.11 Review Questions
- 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
  - 3.1 Case Information Briefing
  - 3.2 Define the Problems
  - 3.3 Requirements
  - 3.4 Solution
  - 3.5 Summary
  - 3.6 Review Questions
Part II: Data Center Facilities and Cost
- Part II. Data Center Facilities and Cost
- Chapter 4. Data Center Facilities
  - 4.1 Basic Understanding of a Data Center
  - 4.2 Data Center Capacity Planning
  - 4.3 Data Center Space
  - 4.4 How to Estimate Cost of Space
  - 4.5 Summary
  - 4.6 Review Questions
- Chapter 5. Data Center Power
  - 5.1 Introduction
  - 5.2 Fundamentals of Power
  - 5.3 Power Panel (Circuit Breaker)
  - 5.4 Transfer Switches and Generators
  - 5.5 Uninterruptible Power Supply (UPS)
  - 5.6 How to Select UPS Topologies
  - 5.7 UPS Batteries
  - 5.8 Summary
  - 5.9 Review Questions
- Chapter 6. Power Distribution Unit and Cabling
  - 6.1 Introduction
  - 6.2 Rack Power Distribution Unit and Redundancy
  - 6.3 Power Feed to 42RU Rack
  - 6.4 Data Center Power Cabling Installation
  - 6.5 Power Cable Layout Architectures
  - 6.6 Data Center Power Calculation
  - 6.7 Strategies for Power Saving
  - 6.8 Summary
  - 6.9 Review Questions
- Chapter 7. Data Center Cooling
  - 7.1 Introduction
  - 7.2 Understanding Cooling, Comfort, and Precision Cooling
  - 7.3 Temperature, Pressure, and Volume
  - 7.4 Data Center Cooling Components
  - 7.5 Data Center Cooling Control
  - 7.6 Summary
  - 7.7 Review Questions
- Chapter 8. Effective Air Distribution in Data Centers
  - 8.1 Introduction
  - 8.2 Methods of Air Distribution
  - 8.3 Guidelines for Air Distribution Methods
  - 8.4 Computational Fluid Dynamics (CFD) Analysis
  - 8.5 Data Center Cooling Calculations
  - 8.6 Managing and Optimizing Cooling Systems
  - 8.7 Summary
  - 8.8 Review Questions
- 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 III. Cloud Infrastructure and Management
- Chapter 11. Cloud Infrastructure Servers: CISC, RISC, Rack-Mounted, and Blade Servers
  - 11.1 Cloud Servers
  - 11.2 x86 Server
  - 11.3 Rack-Mounted Servers and Vendors
  - 11.4 Blade Servers
  - 11.5 RISC Server
  - 11.6 Oracle/Sun SPARC Servers
  - 11.7 Summary
  - 11.8 Review Questions
- Chapter 12. Cloud Storage Basics
  - 12.1 Storage Hierarchy
  - 12.2 Solid State Disk or Flash SSD
  - 12.3 Storage Topologies and Connections
  - 12.4 Storage Protocols
  - 12.5 Pros and Cons for Different Storage Topologies
  - 12.6 Traditional Storage vs. Cloud Storage
  - 12.7 Major Storage Vendors and Market Trends
  - 12.8 Summary
  - 12.9 Review Questions
- Chapter 13. Data Center Networks
  - 13.1 Key Network Terms and Components
  - 13.2 Data Center Network Terms and Jargon
  - 13.3 Metrics of DCN Topology
  - 13.4 Types of Network Topology
  - 13.5 Characteristics of Cloud Data Center Network
  - 13.6 Cloud DCN Summary
  - 13.7 Review Questions
Part IV: Cloud Computing Cost Models and Framework
- Part IV. Cloud Computing Cost Models and Framework
- Chapter 14. Cost Modeling: Terms and Definitions
  - 14.1 Concept of Cost Model
  - 14.2 Purposes of Cost Modeling for Cloud Computing
  - 14.3 Challenges of Cloud Cost Modeling
  - 14.4 Summary
  - 14.5 Review Questions
- Chapter 15. Cost Model Categories
  - 15.1 Review of Cost Models
  - 15.2 Cloud Computing Issues, Impacts, the Right Questions for the Cost Model
  - 15.3 Cost Models over the Last 50 Years
  - 15.4 Common Financial Cost Models
  - 15.5 Summary
  - 15.6 Review Questions
- Chapter 16. Chargeback
  - 16.1 Introduction to Chargebacks
  - 16.2 No IT Cost Allocation
  - 16.3 Non-IT-Based Cost Allocation
  - 16.4 IT Domain–Based Cost Allocation
  - 16.5 Fee-Based Cost Allocation
  - 16.6 Business-Based Cost Allocation
  - 16.7 Summary
  - 16.8 Review Questions
Part V: Cloud Strategy and Critical Decision Making
- Part V. Cloud Strategy and Critical Decision Making
- Chapter 17. Cost Model Calculation
  - 17.1 Case Study
  - 17.2 Calculation Steps and Results
  - 17.3 Conclusion of Case Study
  - 17.4 Summary
  - 17.5 Review Questions
- 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

Caesar Wu

Caesar Wu is a Senior Domain Specialist on Cloud Computing and Data Centers at Telstra, as well as a Principle Research Fellow, at The University of Melbourne, Australia. He has over 18 years’ of experience in ICT architecture, solution design, services delivery and operation management, IT data center lifecycle and transformation. For the past five years he has been responsible for cost modeling of all Telstra cloud computing projects, for both enterprise and government clients, and designed and managed eight data centers in Australia. In 2012, Wu supervised three University of Melbourne PhD students in cloud computing strategic investment decision making.

Affiliations and expertise

Principle Research Fellow, University of Melbourne, Australia, and Senior Domain Specialist, Telstra

Rajkumar Buyya

Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 650 publications and seven textbooks including Mastering Cloud Computing from McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. Dr. Buyya is one of the most highly-cited authors in Computer Sience and Software Engineering worldwide. “A Scientometric Analysis of Cloud Computing Literature” by German scientists ranked Dr. Buyya as the World's Top-Cited Author and the World's Most-Productive Author in Cloud Computing. He has been recognized as a Web of Science “Highly Cited Researcher” for four consecutive years since 2016. Dr. Buyya was recognized as Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award from Elsevier; "Lifetime Achievement Awards" from two Indian universities, and the “Best of the World,” in the Computing Systems field, by The Australian 2019 Research Review. Software technologies for Grid, Cloud, and Fog computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and the international research leadership of Dr. Buyya are recognized through the award of the “2009 IEEE Medal for Excellence in Scalable Computing” from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received the "Frost & Sullivan New Product Innovation Award." Dr. Buyya served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long-standing journal in the field, established more than 50 years ago.

Affiliations and expertise

University of Melbourne, Australia

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health