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...

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Detalles Bibliográficos
Otros Autores: Dastbaz, M. (Mohammad), editor (editor), Pattinson, Colin, editor, Akhgar, Babak, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Amsterdam, [Netherlands] : Morgan Kaufmann 2015.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629966106719
Tabla de Contenidos:
  • Contents
  • Foreword
  • Preface
  • About the Editors
  • Contributor Biographies
  • Acknowledgments
  • Section I: Green IT: Emerging Technologies and Challenges
  • Chapter 1: Green ICT: History, Agenda, and Challenges Ahead
  • Chapter 2: Emerging Technologies and Their Environmental Impact
  • Conclusion
  • Section II: Green IT: Law and Measurement
  • Chapter 3: Measurements and Sustainability
  • Chapter 4: The Law of Green IT
  • Chapter 5 - Quantitative and Systemic Methods for Modeling Sustainability
  • Section III. Sustainable Computing, Cloud and Big Data
  • Chapter 6: Sustainable Cloud Computing
  • Chapter 7: Sustainable Software Design
  • Chapter 8: Achieving the Green Theme Through the Use of Traffic Characteristics in Data Centers
  • Chapter 9: Energy Harvesting and the Internet of Things
  • Chapter 10: 3D Printing and Sustainable Product Development Section V. Case Studies
  • Chapter 11: Automated Demand Response, Smart Grid Technologies, and Sustainable Energy Solutions
  • Chapter 12: Critical Issues for Data Center Energy Efficiency
  • Chapter 13: Communitywide Area Network and Mobile ISP
  • Chapter 14: Thin-Client and Energy Efficiency
  • Chapter 15: Cloud Computing, Sustainability, and Risk
  • Case Study: A Quantitative Fuzzy Optimization Model for Determining Cloud Inexperienced Risks' Appetite
  • Index.