Abstract
The energy consumption by information and communication technology (ICT) equipment is rapidly increasing which causes a significant economic and environmental problem. At present, the network infrastructure is becoming a large portion of the energy footprint in ICT. Thus, the concept of energy-efficient or green networking has been introduced. Now one of the main concerns of network industry is to minimize energy consumption of network infrastructure because of the potential economic benefits, ethical responsibility, and its environmental impact. In this paper, the energy management strategies to reduce the energy consumed by network switches in local area network (LAN) have been developed. According to the life-cycle assessment of network switches, the highest amount of energy is consumed during usage phase. The study considers bandwidth, link load, and traffic matrices as input parameters which have the highest contribution to energy footprints of network switches during usage phase and energy consumption as output. Then with the objective of reducing energy usage of network infrastructure, the feasibility of putting Ethernet switches hibernate or sleep mode was investigated. After that, the network topology was reorganized using clustering method based on the spectral approach for putting network switches to hibernate or switched off mode considering the time and communications among them. Experimental results show the interest in this approach in terms of energy consumption.
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Acknowledgment
This work is part of the Erasmus Mundus Master program in Pervasive Computing and Communication for Sustainable Development (PERCCOM) of the European Union (www.perccom.eu). The authors thank all the partner institutions, sponsors, and researchers of the PERCCOM program [18].
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Habibullah, K.M., Rondeau, E., Georges, JP. (2018). Reducing Energy Consumption of Network Infrastructure Using Spectral Approach. In: Dastbaz, M., Arabnia, H., Akhgar, B. (eds) Technology for Smart Futures. Springer, Cham. https://doi.org/10.1007/978-3-319-60137-3_11
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DOI: https://doi.org/10.1007/978-3-319-60137-3_11
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