Energy consumption is a major factor in the performance and deployment of modern computational and communication systems. It is increasingly necessary to preserve scarce resources and have such systems perform with the utmost energy efficiency. It has been estimated that the global ICT energy consumption amounts to 7% of the entire electricity production while the energy requirements of data centres and network equipment are foreseen to grow with a yearly rate of 12%. Furthermore, with the ever-increasing demand for bandwidth, connection quality, and end-to-end interactivity, computer networks and mobile devices are requiring more and more sophisticated and power-hungry technologies.
In order to achieve as minimal energy consumption as possible while maintaining extreme adaptability to environmental challenges and resources, it is necessary to develop highly autonomous systems with the capability to adapt dynamically to energy availability and usage. Emergent behaviour, such as self-organisation, is also a concern in seeking to model and reason about the control structures of such systems in energy use. Self-organisation means that structures appear within the system without the use of explicit programming or environmental constraints.
The foremost example of such phenomena is the emergence of power law connectivity in web graphs, which is widely seen to emerge in many such systems. It is just such pattern/signature identification at the local level that can be beneficial in establishing energy levels and controlling energy usage, up to zero net consumption, at the global level.
Thus, green communication and computing research is concerned with the best practice support, for optimum energy consumption, in all manner of highly distributed computing systems. This entails the addressing of three very important issues: firstly, scalable methods of monitoring and feedback in systems to ascertain energy levels and control usage patterns; secondly, specification of cognitive systems to reason efficiently on the high volumes of data; finally, a characterisation to detect both newly emergent forms and previously observed instances of self-organization with relevance to energy use.
This special issue solicits papers on all aspects of enabling technologies for green communication and computing for scalable networks. It will focus on contributions covering the full range of technologies from devices to systems and networks. Examples would be research on new interconnection networks that address the energy efficiency challenges and transform architectures towards energy-aware solutions at the network level, or analysis indicating reduction in energy consumption without significant loss in network scalability and performance.
Suitable topics include, but are not limited to the following:
- Novel architectures addressing energy reduction in communication and computing networks
- Protocols and protocol extensions to enable energy efficient networks
- New protocols for green wireless and wired networks
- Network load balance and smart information storage in distributed networks
- Methods for energy measurements and energy models
- Hierarchical and distributed techniques for energy management
- Harvesting distributed energy generation
- Smart Grid
- Information theory on energy efficiency
- Energy evaluation and comparison of different network technologies
- Novel network concepts and architectures lowering the overall footprint of ICT (e.g., compressed sensing for network monitoring)
- Realistic estimation of the worldwide footprint of communications and future evolution
- Green components for network energy savings
- Energy efficiency in wired and wireless access networks
- Energy efficiency in home and enterprise networking
- Energy efficiency of data centres and intelligent cloud computing
Important Dates
Manuscript submission due: 1 September 2012
Review results notification due: 1 November 2012
Revised versions due: 1 December 2012
Final notification: 15 December 2012
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