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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Simulation Of Energy-Aware Backbone Networks

Authors:

Ewa Niewiadomska-Szynkiewicz, Andrzej Sikora, Marcin Mincer, Piotr Arabas

Published in:

 

(2013).ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang  European Council for Modeling and Simulation. doi:10.7148/2013

 

ISBN: 978-0-9564944-6-7

 

27th European Conference on Modelling and Simulation,

Aalesund, Norway, May 27th – 30th, 2013

 

Citation format:

Ewa Niewiadomska-Szynkiewicz, Andrzej Sikora, Marcin Mincer, Piotr Arabas (2013). Simulation Of Energy-Aware Backbone Networks, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling and Simulation. doi:10.7148/2013-0483

 

DOI:

http://dx.doi.org/10.7148/2013-0483

Abstract:

An optimization of the energy consumption in network systems has been recently an important research issue. The main challenge is to design, develop and test novel technologies, integrated control strategies and mechanisms for network equipment enabling energy saving by adapting network capacities and resources to current traffic loads and user requirements, while ensuring end-toend Quality of Service. In general, the idea is to develop low power devices or nano-processors, concentrate network traffic on a minimal subset of network components, and modulate network devices using dynamic voltage and frequency scaling methods. Various power adapting technologies for network devices are described in literature. We developed a framework for a backbone network management which leads to the minimization of the energy consumption by this network. The concept is based on activity control of the network equipment. The framework is presented in (Niewiadomska-Szynkiewicz et al., 2012b). In this paper we describe the design, performance and potential applications of the software environment for energy efficient backbone network optimization and simulation. This system was used to illustrate the performance of our control framework for energy-aware IP networks.

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