Handbook of energy-aware and green computing (Two volume set)
Chapman & Hall/CRC Computer and Information Science Series

Implementing energy-efficient CPUs and peripherals as well as reducing resource consumption have become emerging trends in computing. As computers increase in speed and power, their energy issues become more and more prevalent. The need to develop and promote environmentally friendly computer technologies and systems has also come to the forefront in computing research. A pioneering publication for researchers in computer science and engineering, Handbook of Energy-Aware and Green Computing, Two-Volume Set is one of the first to present a comprehensive account of recent research in energy-aware and green computing. Edited by the co-chairs of the International Green Computing Conference, this handbook incorporates fundamental knowledge from all related areas, including circuit and component design, software, operating systems, networking, mobile computing, and data centers. It also discusses up-to-date research on many aspects of power-aware computing at the component, software, and system levels.

COMPONENTS, PLATFORMS AND ARCHITECTURES. Subthreshold Computing. Energy-Efficient Network-on-Chip Architectures for Multicore Systems. Geyser: Energy-Efficient MIPS CPU Core with Fine-Grained Run-Time Power Gating. Low Power Design of Emerging Memory Technologies. ENERGY-EFFICIENT STORAGE. Reducing Delays Associated with Disk Energy Management. Power Efficient Strategies for Storage Systems: A Survey. Dynamic Thermal Management for High-Performance Storage Systems. Energy Saving Techniques for Disk Storage Systems. Thermal and Power-Aware Task Scheduling and Data Placement for Storage Centric Datacenters. GREEN NETWORKING. Power-Aware Middleware for Mobile Applications. Energy Efficiency of Voice-over-IP Systems. Intelligent Energy Aware Networks. Green TCAM-Based Internet Routers. ALGORITHMS. Algorithmic Aspects of Energy-Efficient Computing. Algorithms and Analysis of Energy-Efficient Scheduling of Parallel Tasks. Power Saving by Task-Level Dynamic Voltage Scaling: A Theoretical Aspect. Speed Scaling: An Algorithmic Perspective. Processor Optimization for Energy Efficiency. Power Aware SIMD Algorithm Design on GPU and Multicore Architectures. Memetic Algorithms for Energy-Aware Computation and Communications Optimization in Computing Clusters. Online Job Scheduling Algorithms under Energy Constraints. REAL-TIME SYSTEMS. Reliability-Aware Power Management for Real-Time Embedded Systems. Energy Minimization for Multiprocessor Systems Executing Real-Time Tasks. Energy-Aware Scheduling and Dynamic Reconfiguration in Real-Time Systems. Adaptive Power Management for Energy Harvesting Embedded Systems. Energy Instruction Cache Optimization Techniques for Embedded Systems. MONITORING, MODELING, AND EVALUATION. A Power-Aware Modeling and Autonomic Management Framework for Distributed Computing Systems, Rajat Mehrotr. Power Measuring and Profiling: State-of-the-Art 3. Modeling the Energy Consumption of Distributed Applications. A Comparative Study of Runtime Systems for Energy Aware High Performance Computing. Tool Environments to Measure Power Consumption and Computational Performance. BlueTool: Using a Computing Systems Research Infrastructure Tool to Design and Test Green and Sustainable Data Center.

Researchers and engineers in computer science, communications, circuits, and systems.