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Abstract
Energy consumption of the Internet is already substantial and it is likely to increase as operators deploy faster equipment to handle popular bandwidth-intensive services, such as streaming and video-on-demand. Existing work on energy saving considers local adaptation relying primarily on hardware-based techniques, such as sleeping and rate adaptation. We argue that a complete solution requires a network-wide approach that works in conjunction with local measures. However, traditional traffic engineering objectives do not include energy. This paper presents Energy-Aware Traffic engineering (EATe), a technique that takes energy consumption into account while optimizing for low link utilization and high end-host sending rates. EATe uses a scalable, online technique to spread the load among multiple paths so as to increase energy savings. Our extensive ns-2 simulations over realistic topologies show that EATe succeeds in moving 21% of the links to the sleep state, while keeping the same sending rates and being close to the optimal energy-aware solution. Further, we demonstrate that EATe successfully handles changes in traffic load and quickly restores a low overall energy state. Alternatively, EATe can move links to lower energy levels, resulting in energy savings of 8%. Finally, EATe can succeed in making 16% of active routers sleep.QC 20140704
Original document
The different versions of the original document can be found in:
- https://infoscience.epfl.ch/record/128561,
- http://www.diva-portal.org/smash/record.jsf?pid=diva2:727667,
- http://portal.acm.org/citation.cfm?id=1791341,
- https://dblp.uni-trier.de/db/conf/eenergy/eenergy2010.html#VasicK10,
- https://doi.acm.org/10.1145/1791314.1791341,
- https://doi.org/10.1145/1791314.1791341,
- https://academic.microsoft.com/#/detail/2043373292
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Document information
Published on 01/01/2010
Volume 2010, 2010
DOI: 10.1145/1791314.1791341
Licence: CC BY-NC-SA license
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