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Energy-Aware Weight Assignment Framework for Circuit Oriented GMPLS Networks
Politecnico di Torino, Italy.
Linköping University, Department of Computer and Information Science, RTSLAB - Real-Time Systems Laboratory. Linköping University, The Institute of Technology.
Consorzio Nazionale Interuniversitario per le Telecomunicazioni, Italy.
Alcatel-Lucent Italia, Italy.
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2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

 branch of green networking research is consoli- dating. It aims at routing traffic with the goal of reducing the network energy consumption. It is usually referred to as Energy- Aware Routing. Previous works in this branch only focused on pure IP networks, e.g., assuming an Open Shortest Path First (OSPF) control plane, and best effort packet forwarding on the data plane. In this work, we consider instead Generalized Multi- Protocol Label Switching (GMPLS) backbone networks, where optical technologies allow to design “circuit switching” network management policies with strict bandwidth reservation policies.

We define a simple and generic framework which generates a family of routing algorithms, based on an energy-aware weight assignment. In particular, routing weights are functions of both the energy consumption and the actual load of network devices. Using such weights, a simple minimum-cost routing allows finding the current least expensive circuit, minimising the additional energy cost. Results obtained on realistic case studies show that our weight assignment policy favours a consistent reduction of the network power consumption, without significantly affecting the network performance. Furthermore, the framework allows to trade energy efficiently and network performance, a desirable property at which ISPs are looking for. Simple and robust parameter settings allow reaching a win-win situation, with excellent performance in terms of both energy efficiency and network resource utilization. 

Place, publisher, year, edition, pages
IEEE , 2013.
Series
25th International Teletraffic Congress (ITC 25)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-92877DOI: 10.1109/ITC.2013.6662961ISBN: 978-0-9836283-7-8 (print)OAI: oai:DiVA.org:liu-92877DiVA: diva2:623418
Conference
25th International Teletraffic Congress (ITC 25)
Available from: 2013-05-27 Created: 2013-05-27 Last updated: 2017-02-21Bibliographically approved

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Bianzino, Aruna Prem

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RTSLAB - Real-Time Systems LaboratoryThe Institute of Technology
Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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