Book description
Addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks
With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic. Large-Scale Distributed Systems and Energy Efficiency: A Holistic View addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks. After an introductory overview of the energy demands of current Information and Communications Technology (ICT), individual chapters offer in-depth analyses of such topics as cloud computing, green networking (both wired and wireless), mobile computing, power modeling, the rise of green data centers and high-performance computing, resource allocation, and energy efficiency in peer-to-peer (P2P) computing networks.
Discusses measurement and modeling of the energy consumption method
Includes methods for energy consumption reduction in diverse computing environments
Features a variety of case studies and examples of energy reduction and assessment
Timely and important, Large-Scale Distributed Systems and Energy Efficiency is an invaluable resource for ways of increasing the energy efficiency of computing systems and networks while simultaneously reducing the carbon footprint.
Table of contents
- Cover
- Title Page
- Copyright
- Dedication
- Preface
- Acknowledgment
- Chapter 1: Introduction to Energy Efficiency in Large-Scale Distributed Systems
- Chapter 2: Hardware Leverages for Energy Reduction in Large-Scale Distributed Systems
- Chapter 3: Green Wired Networks
-
Chapter 4: Green Wireless-Energy Efficiency in Wireless Networks
- 4.1 Introduction
- 4.2 Metrics and Trade-Offs in Wireless Networks
- 4.3 Measurement Methodology
- 4.4 Energy Efficiency and QoE in Wireless Access Networks
- 4.5 Energy-Efficient Medium Access in Wireless Sensor Networks
- 4.6 Energy-Efficient Connectivity in Ad-Hoc and Opportunistic Networks
- 4.7 Summary and Conclusions
- References
- Chapter 5: Power modeling
-
Chapter 6: Green Data Centers
- 6.1 Introduction
- 6.2 Overview of Energy Consumption of Hardware Infrastructure in Data Center
- 6.3 Middleware Solutions that Regulate and Optimize the Energy Consumption in Data Centers
- 6.4 Data Center Network Architectures
- 6.5 Solutions for Cooling and Heat Control in Data Center
- Acknowledgments
- References
- Chapter 7: Energy Efficiency and High-Performance Computing
-
Chapter 8: Scheduling and Resource Allocation
- 8.1 Introduction: Energy-Aware Scheduling
- 8.2 Use of Linear Programming in Energy-Aware Scheduling
- 8.3 Heuristics in Large Instances
- 8.4 Comparing Allocation Heuristics for Energy-Aware Scheduling
- 8.5 Energy-Aware Task Allocation in Mobile Environments
- 8.6 An Energy-Aware Scheduling Strategy for Allocating Computational Tasks in a Fully Decentralized Way
- 8.7 Cost-Aware Scheduling with Smart Grids
- 8.8 Heterogeneity, Cooling, Dvfs, and Migration
- 8.9 Conclusions
- References
- Chapter 9: Energy Efficiency in P2P Systems and Applications
- Chapter 10: Toward Sustainability for Large-Scale Computing Systems: Environmental, Economic, and Standardization Aspects
- Author Index
- Subject Index
- End User License Agreement
Product information
- Title: Large-scale Distributed Systems and Energy Efficiency: A Holistic View
- Author(s):
- Release date: March 2015
- Publisher(s): Wiley
- ISBN: 9781118864630
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