Multilayer traffic engineering for energy efficiency

Automatically switched multilayer IP-over-optical networks offer extensive flexibility in adapting the network to offered IP/MPLS traffic. Multilayer traffic engineering (MLTE) takes advantage of this through online IP logical topology reconfiguration in addition to the more traditional rerouting. The main goal of MLTE is to optimize toward resource usage, bandwidth throughput and QoS performance. However, energy efficiency of ICT infrastructure and the network in particular more recently have become an important aspect as well. In this article, we will look how MLTE helps in improving network energy efficiency. For this we will explain how optimization toward power requirement relates to the traditional resource usage minimization objective, and how power requirement in the network can be modeled for the MLTE algorithm. We will discuss two cases where the merit of MLTE for energy efficiency is discussed. Firstly, we will examine the interaction of MLTE with hardware-based energy efficiency optimization techniques; for this we look at scaling back power requirements through the use of better chip technology, but also decreasing idle-power requirement only, using improved chip architecture. Secondly, as MLTE allows for fast responses to changing traffic, we will see how link switch-off during off-peak hours offers a straightforward option to reduce energy needs.

[1]  Geoffrey M. Voelker,et al.  Analysis of a mixed-use urban wifi network: when metropolitan becomes neapolitan , 2008, IMC '08.

[2]  Lou Berger,et al.  Generalized Multi-Protocol Label Switching (GMPLS) Signaling Functional Description , 2003, RFC.

[3]  R.S. Tucker,et al.  Energy Consumption of the Internet , 2007, COIN-ACOFT 2007 - Joint International Conference on the Optical Internet and the 32nd Australian Conference on Optical Fibre Technology.

[4]  R.S. Tucker,et al.  Energy Consumption in Optical IP Networks , 2009, Journal of Lightwave Technology.

[5]  Biswanath Mukherjee,et al.  Greening the Optical Backbone Network: A Traffic Engineering Approach , 2010, 2010 IEEE International Conference on Communications.

[6]  Hiroshi Esaki,et al.  Observing slow crustal movement in residential user traffic , 2008, CoNEXT '08.

[7]  Gangxiang Shen,et al.  Energy-Minimized Design for IP Over WDM Networks , 2012, IEEE/OSA Journal of Optical Communications and Networking.

[8]  Marco Mellia,et al.  Reducing Power Consumption in Backbone Networks , 2009, 2009 IEEE International Conference on Communications.

[9]  Stephen J. Wright,et al.  Power Awareness in Network Design and Routing , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[10]  Gurindar S. Sohi,et al.  Microarchitectural innovations: boosting microprocessor performance beyond semiconductor technology scaling , 2001, Proc. IEEE.

[11]  P. Demeester,et al.  Optical cost metrics in multi-layer traffic engineering for IP-over-optical networks , 2004, Proceedings of 2004 6th International Conference on Transparent Optical Networks (IEEE Cat. No.04EX804).

[12]  B. Dhoedt,et al.  Worldwide energy needs for ICT: The rise of power-aware networking , 2008, 2008 2nd International Symposium on Advanced Networks and Telecommunication Systems.

[13]  Didier Colle,et al.  Multilayer traffic engineering for multiservice environments , 2008, Photonic Network Communications.

[14]  Didier Colle,et al.  Multi-layer traffic engineering in data-centric optical networks - illustration of concepts and benefits (IST LION) , 2003 .