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Green Domino Incentives: Impact of Energy-aware Adaptive Link Rate Policies in Routers
University of Calgary.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
2015 (English)In: Proc. ACM/SPEC International Conference on Performance Engineering (ACM/SPEC ICPE), 2015, 211-221 p.Conference paper (Refereed)
Abstract [en]

To reduce energy consumption of lightly loaded routers, operators are increasingly incentivized to use Adaptive Link Rate (ALR) policies and techniques. These techniques typically save energy by adapting link service rates or by identifying opportune times to put interfaces into low-power sleep/idle modes. In this paper, we present a trace-based analysis of the impact that a router implementing these techniques has on the neighboring routers. We show that policies adapting the service rate at larger time scales, either by changing the service rate of the link interface itself or by changing which redundant heterogeneous link is active, typically have large positive effects on neighboring routers, with the downstream routers being able to achieve up-to 30% additional energy savings due to the upstream routers implementing ALR policies. Policies that save energy by temporarily placing the interface in a low-power sleep/idle mode, typically has smaller, but positive, impact on neighboring routers. Best are hybrid policies that use a combination of these two techniques. The hybrid policies consistently achieve the biggest energy savings, and have positive cascading effects on surrounding routers. Our results show that implementation of ALR policies can contribute to large-scale positive domino incentive effects, as they further increase the potential energy savings seen by those neighboring routers that consider implementing ALR techniques, while satisfying performance guarantees on the routers themselves.

Place, publisher, year, edition, pages
2015. 211-221 p.
Keyword [en]
Energy Efficiency; Adaptive Link Rate; Energy Proportional Computing; Router Performance
National Category
Computer Science
URN: urn:nbn:se:liu:diva-118739DOI: 10.1145/2668930.2688045ISBN: 978-1-4503-3248-4OAI: diva2:816602
Proc. ACM/SPEC International Conference on Performance Engineering (ACM/SPEC ICPE), Austin, TX, Jan/Feb. 2015.
Available from: 2015-06-03 Created: 2015-06-03 Last updated: 2015-06-18

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Carlsson, NIklas
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Database and information techniquesFaculty of Science & Engineering
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