• Energy-Effiicient Home and Office Environments
  
  •  ICT for Green – How Computers Can Help Us to Conserve Energy
  • A Virtualized Energy-Efficient Office Environment
  • Profiling Energy Use in Households and Office Space
    
• Energy Efficiency and QoS
  • Optimal Sleep Patterns for Serving Delay-Tolerant Jobs
  • Energy Saving and Network Performance: a Trade-off Approach
  • Statistical Static Capacity Management in Virtualized data Centers Supporting Fine Grained QoS Specification
  • Event-Driven Processor Power Management  
• Energy-Efficient Wireless Networking
  • Mobile Networks Unplugged
  • Practical Power Modeling of Data Transmission over 802.11g for Wireless Applications
  • Combustible Gases and Early Fire Detection: An Autonomous System for Wireless Sensor Networks  
    
• Energy Reduction Measures
  • Multi-facet Approach to Reduce Energy Consumption in Clouds and Grids: The GREEN-NET Framework
  • Managing End-User Preferences in the Smart Grid
  • The New Frontier of Communications Research: Smart Grid and Smart Metering
  • Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings
  • Power and Cost Aware Distributed Load Management
  • Allocating resources greenly: Reducing energy consumption or reducing ecological impact?  
    
• Modeling, Monitoring and Accounting
  • Energy Benchmarks: A Detailed Analyses
  • Accounting for the Energy Consumption of Personal Computing Including Portable Devices
  • An Approach to Reduce the Energy Cost of the Arbitrary Tree Replication Protocol   
    
• Energy-Efficient Networking and Protocols
  • A Simple Analytical Model for the Energy-Efficient Activation of Access Points in Dense WLANs
  • Energy-Aware Traffic Engineering
  • Greening the Internet with Content-Centric Networking
  • GreenCoop: Cooperative Green Routing with Energy-Efficient Servers 
• Energy-Efficient Data Center Technology
  • Energy-Efficient Cluster Computing with FAWN: Workloads and Implications
  • Introducing Scalileo – A Java Based Scaling Framework
  • Towards Energy-Aware Scheduling in Data Centers Using Machine Learning
  • A Dynamic Optimization Model for Power and Performance management of Virtualized Clusters

more details...

• Hermann de Meer, PhD, Professor in the Faculty of Computer Science and Mathematics, University of Passau. He holds a chair in the Computer Networking and Communications Department; has published more than eighty peer-reviewed articles on performance modeling, computer networking, self-organization, quality of service, and Peer-to-Peer systems; and holds several international patents on related topics.

• Suresh Singh, Professor at the Department of Computer Science, Portland State University.

• Torsten Braun, Director of the Institute of Computer Science and Applied Mathematics at University of Bern.