You are previewing Green Information Technology.
O'Reilly logo
Green Information Technology

Book Description

We are living in the era of "Big Data" and the computing power required to deal with "Big Data" both in terms of its energy consumption and technical complexity is one of the key areas of research and development. The U.S. Environmental Protection Agency estimates that centralized computing infrastructures (data centres) currently use 7 giga watts of electricity during peak loads. This translates into about 61 billion kilowatt hours of electricity used. By the EPA’s estimates, power-hungry data centres consume the annual output of 15 average-sized power plants. One of the top constraints to increasing computing power, besides the ability to cool, is simply delivering enough power to a given physical space.

Green Information Technology: A Sustainable Approach offers in a single volume a broad collection of practical techniques and methodologies for designing, building and implementing a green technology strategy in any large enterprise environment, which up until now has been scattered in difficult-to-find scholarly resources. Included here is the latest information on emerging technologies and their environmental impact, how to effectively measure sustainability, discussions on sustainable hardware and software design, as well as how to use big data and cloud computing to drive efficiencies and establish a framework for sustainability in the information technology infrastructure.

Written by recognized experts in both academia and industry, Green Information Technology: A Sustainable Approach is a must-have guide for researchers, computer architects, computer engineers and IT professionals with an interest in greater efficiency with less environmental impact.



  • Introduces the concept of using green procurement and supply chain programs in the IT infrastructure.
  • Discusses how to use big data to drive efficiencies and establish a framework for sustainability in the information technology infrastructure.
  • Explains how cloud computing can be used to consolidate corporate IT environments using large-scale shared infrastructure reducing the overall environmental impact and unlocking new efficiencies.
  • Provides specific use cases for Green IT such as data center energy efficiency and cloud computing sustainability and risk.

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Foreword
  6. Preface
  7. About the Editors
  8. Contributor Biographies
  9. Acknowledgments
  10. Section I: Green IT: Emerging Technologies and Challenges
    1. Chapter 1: Green ICT: History, Agenda, and Challenges Ahead
      1. Introduction
      2. The Second Industrial Revolution—The Emergence of Information and Communication Technologies
      3. The Agenda and Challenges Ahead
    2. Chapter 2: Emerging Technologies and Their Environmental Impact
      1. Abstract
      2. Introduction
      3. Number of Connected Devices
      4. Increased Functionality
      5. Increased Number of Separate Functions
      6. Increased Demand for Speed and Reliability
      7. Obsolescence—The Problem of Backward Compatibility
      8. The Other Side of the Balance Sheet—Positive Environmental Impacts or the “Other 90%”
      9. Videoconference as an Alternative to Business Travel
      10. Dematerialization of Product Chain
      11. Travel Advice/Road Traffic Control
      12. Intelligent Energy Metering
      13. Building Management Systems
      14. Saving IT Resources—A Drop in the Ocean?
      15. Conclusion
  11. Section II: Green IT: Law and Measurement
    1. Chapter 3: Measurements and Sustainability
      1. Abstract
      2. Introduction
      3. ICT Technical Measures
      4. Ecological Measures and Ethical Consideration
      5. Systems Engineering for Designing Sustainable ICT-Based Architectures
      6. Conclusion
    2. Chapter 4: The Law of Green IT
      1. Abstract
      2. General Remarks on Law and the Regulation of Environmental Behavior
      3. The Mechanisms of EU and National Law—Basics
      4. Sustainability in EU Law
      5. Specific European Legal Instruments Relevant to Green Computing and Their Implementation
      6. Conclusions
    3. Chapter 5: Quantitative and Systemic Methods for Modeling Sustainability
      1. Abstract
      2. Introduction
      3. Complexity
      4. Modeling Approaches
      5. Modeling Approaches and Decision Support Systems
      6. Criticisms
      7. Conclusions
  12. Section III: Sustainable Computing, Cloud and Big Data
    1. Chapter 6: Sustainable Cloud Computing
      1. Abstract
      2. Introduction
      3. Challenges in the Use of Cloud Computing As Green Technology
      4. Cloud Computing and Sustainability
      5. Sustainable Applications of Cloud Computing
      6. Technologies Associated With Sustainable Cloud Computing
      7. Future Prospects of Sustainable Cloud Computing
      8. Reflections on Sustainable Cloud Computing Applications
      9. Conclusions
    2. Chapter 7: Sustainable Software Design
      1. Abstract
      2. Overview and Scope
      3. Evaluating Sustainability Effects
      4. Sustainability and the Product Life Cycle
      5. Direct Effects: Sustainability During Use
      6. Runtime Energy Consumption Basics
      7. Analyzing the Energy Consumption of an Application
      8. Energy Consumption Reduction Using Physical Properties of Semiconductors
      9. Optimizing the Energy Consumption of an Application: Compiler Techniques
      10. Optimizing the Energy Consumption of an Application: Runtime Approaches
      11. Optimizing the Energy Consumption of an Application: Probabilistic Approaches
      12. Indirect Effects: Sustainability vs. Production
      13. Conclusions and Outlook
    3. Chapter 8: Achieving the Green Theme Through the Use of Traffic Characteristics in Data Centers
      1. Abstract
      2. Introduction
      3. Rationale
      4. Understanding Sustainability on the Cloud
      5. Green Cloud as a Network Management Problem
      6. SNMP for Green Cloud Traffic Characterization
      7. A Model for Network Management for Green Cloud
      8. Conclusions and Future Work
  13. Section IV: Future Solutions
    1. Chapter 9: Energy Harvesting and the Internet of Things
      1. Abstract
      2. Energy Harvesting: Intelligence and Efficiency
      3. The IoT, “Hyped” and “Hidden”: A Green Technology
      4. Conclusions
    2. Chapter 10: 3D Printing and Sustainable Product Development
      1. Abstract
      2. Introduction
      3. The Underlying Printing Processes
      4. Inkjet Technology: Powder-Based Printers
      5. Hybrid Systems: Integrating 3D Printing with Subtractive Machining Technology
      6. Environmental Considerations
      7. Conclusions
  14. Section V: Case Studies
    1. Chapter 11: Automated Demand Response, Smart Grid Technologies, and Sustainable Energy Solutions
      1. Abstract
      2. Background
      3. ADR Solution Platform
      4. Case Study 1: Thames Valley Vision Project, United Kingdom (Auto DR Element)
      5. Case Study 2: US Utility-Driven ADR Programs
    2. Chapter 12: Critical Issues for Data Center Energy Efficiency
      1. Abstract
      2. Acknowledgments
      3. Introduction
      4. Literature Survey
      5. Data Centers
      6. Methodology
      7. Results and Discussion
      8. Conclusions
      9. Implications for the Future
    3. Chapter 13: Communitywide Area Network and Mobile ISP
      1. Abstract
      2. Introduction
      3. Prototype Mobile Learning Environment
      4. Prototype
      5. Langdale Pilot Study
      6. Feedback on the Mobile Learning System
      7. Conclusions
    4. Chapter 14: Thin-Client and Energy Efficiency
      1. Abstract
      2. Acknowledgements
      3. Introduction
      4. Aims and Objectives
      5. Literature Review
      6. Methodology
      7. Results
      8. Conclusions
      9. Recommendations
      10. Implications for the future
      11. Appendix A: User Feedback Comments
    5. Chapter 15: Cloud Computing, Sustainability, and Risk: Case Study: A Quantitative Fuzzy Optimization Model for Determining Cloud Inexperienced Risks’ Appetite
      1. Abstract
      2. Introduction
      3. Cloud Architecture and Risk Preferences
      4. Green Cloud Computing and Risk Management
      5. Risk Appetite and Tolerance
      6. Risk Target and Optimization Model
      7. Case Study: Petrogas Jahan Co
      8. Conclusion
  15. Index