Large-scale distributed systems and energy efficiency : a holistic view

✍ Scribed by Pierson, Jean-Marc

• Publisher: Wiley
• Year: 2015
• Tongue: English
• Leaves: 336
• Series: Wiley series on parallel and distributed computing
• Edition: 1
• Category: Library

✦ Synopsis

"This book discusses energy efficiency in large-scale systems. It provides an overview of current energy-reducing technologies and the energy consumption method, addressing topics such as cloud computing, high-performance computing, networks and more. The book begins with an introduction to energy demands in ICT. It then covers topics like green wired/wireless networks, mobile computing, power modeling, green data centers and high-performance computing, resource allocation and energy efficiency in P2P systems"-- �Read more...

Abstract:

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. �Read more...

✦ Table of Contents

Content: Cover
Contents
Preface
Acknowledgment
Chapter 1 Introduction to Energy Efficiency in Large-Scale Distributed Systems
1.1 Energy Consumption Status
1.2 Target of the Book
1.3 The Cost Action IC0804
1.3.1 Birth of the Action
1.3.2 Development of the Action
1.3.3 End and Future of the Action
1.4 Chapters Preview
Acknowledgement
References
Chapter 2 Hardware Leverages for Energy Reduction in Large-Scale Distributed Systems
2.1 Introduction
2.1.1 Motivation for Energy-Aware Distributed Computing
2.2 Processor
2.2.1 Context
2.2.2 Advanced Configuration and Power Interface (ACPI). 2.2.3 Vendors2.2.4 General-Purpose Graphics Processing Unit (GPGPU)
2.2.5 ARM Architecture
2.3 Memory (DRAM)
2.3.1 Context
2.3.2 Power Consumption
2.3.3 Energy Efficiency Techniques
2.3.4 Vendors
2.4 Disk/Flash
2.4.1 Spindle Speed
2.4.2 Seek Speed
2.4.3 Power Modes
2.4.4 Power Consumption
2.4.5 Solid-State Drive (SDD)
2.5 Fan
2.6 Power Supply Unit
2.7 Network Infrastructure
2.7.1 Current Scenario
2.7.2 New Energy-Oriented Model
2.7.3 Current Advances in Networking
2.7.4 Adaptive Link Rate (ALR)
2.7.5 Low Power Idle (LPI)
2.7.6 Energy-Aware Dynamic RWA Framework. 2.7.7 Energy-Aware Network AttacksReferences
Chapter 3 Green Wired Networks
3.1 Economic Incentives and Green Tariffing
3.1.1 Regulatory, Economic, and Microeconomic Measures
3.1.2 Pricing Theory in Relation to Green Policies
3.1.3 COST Action Results
3.2 Network Components
3.2.1 Router
3.2.2 Network Interface Card
3.2.3 Reconfigurable Optical Add-Drop Multiplexer
3.2.4 Digital Subscriber Line Access Multiplexer
3.3 Architectures
3.3.1 Access Networks
3.3.2 Carrier Networks
3.3.3 Grid Overlay Networks
3.4 Traffic Considerations
3.5 Energy-Saving Mechanisms. 3.5.1 Static Mechanisms3.5.2 Dynamic Mechanisms
3.6 Challenges
3.7 Summary
References
Chapter 4 Green Wireless-Energy Efficiency in Wireless Networks
4.1 Introduction
4.2 Metrics and Trade-Offs in Wireless Networks
4.2.1 Metrics
4.2.2 Energy Optimization Trade-Offs
4.2.3 Summary
4.3 Measurement Methodology
4.3.1 Energy Measurement Testbeds
4.3.2 Energy Estimation Techniques
4.3.3 Energy Measurements versus Estimation
4.3.4 Summary
4.4 Energy Efficiency and QoE in Wireless Access Networks
4.4.1 Energy Issues in Cellular Networks. 4.4.2 Energy Efficiency and QoE in Wireless Mesh Networks4.4.3 Reducing Energy Consumption of the End User Device
4.4.4 Energy Measurements Revealing Video QoE Issues
4.4.5 Energy Issues in Environmental WMNs
4.4.6 Summary
4.5 Energy-Efficient Medium Access in Wireless Sensor Networks
4.5.1 MaxMAC --
An Energy-Efficient MAC Protocol
4.5.2 Real-World Testbed Experiments with MaxMAC
4.5.3 Summary
4.6 Energy-Efficient Connectivity in Ad-Hoc and Opportunistic Networks
4.6.1 Ad-Hoc Networking
4.6.2 Opportunistic and Delay-Tolerant Networking
4.6.3 Summary
4.7 Summary and Conclusions.

✦ Subjects

Data processing service centers -- Energy conservation. Electronic data processing -- Distributed processing -- Energy conservation. Computer networks -- Energy conservation. COMPUTERS -- Programming -- Parallel.