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Energy-aware computing is a research area that is concerned with finding new ways on how to save energy in computing infrastructures using novel algorithms, applications or architectures. The special session aims to bring together researchers from academia, industry and governments to advance the state of the art in energy-aware computing and to discuss the latest efforts in this area of research. 

Call for Papers

The program will include presentations of peer-reviewed papers. The topics of interest include, but are not limited to:

  • Energy efficiency in Cluster, Grid and Cloud Computing
  • Optimizing tradeoffs between energy, quality of service, security and usability
  • Energy-efficient networking and data storage
  • Energy awareness in operating systems and visualization technologies
  • Simulation, emulation and modeling techniques for power and energy consumption
  • Measurement methodologies for power and energy consumption
  • Programming languages, paradigms and tools for energy-efficient software design
  • Hardware and infrastructure power management
  • Energy-efficient mobile computing

Important Dates

Paper submission: Sunday, August 17th, 2014 
Acceptance notification: Friday, October 17th, 2014 
Camera ready due: Monday, November 10th, 2014 
Conference: 4th-6th March 2015 

Session Chairs

  • Tim Süß
  • Dominic Eschweiler


Program Committee

Submission Guidelines

Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt). Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors’ own work should appear as "omitted for blind review" entries. Manuscript submission


Proceedings will be published by IEEE Computer Society in the same volume of the main track. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be indexed, among others, by IEEE explore, DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.


Tim Süß 

Dominic Eschweiler

Zentrum fuer Datenverarbeitung 
Johannes Gutenberg-University Mainz 

Dominic Eschweiler 
University of Frankfurt am Main 

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