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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. |
Full
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