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Fine-grained power scaling algorithms for energy efficient routers

Published: 20 October 2014 Publication History

Abstract

Energy efficient router is one of the most important and promising devices in the roadmap towards green communication and networking. In recent years, automatical power scaling adapting with real-time network traffic in a router has been proved to be practical on real hardware, which is an implementation under the traffic aware philosophy. In this paper, we further explore this direction, and present four real-time power scaling algorithms for the fine-grained energy management within a router. These algorithms are all based on the traffic aware philosophy. We first classify the traffic characteristics into three categories of the core router, access router and home router and analyze the differences among them. Then, we propose two design methodologies, periodical scaling and threshold scaling, and address four algorithms in details. Finally, we use real network traffic to evaluate these algorithms and draw the conclusions. The experiments on real traffic show that more than 40\% of the energy in a router can be saved by using proposed system-level power scaling methods. Based on those evaluations, we also find that three status modes with two working frequencies and a sleep in a router are enough to achieve near-optimal energy efficiency by using our algorithms, which indicates an easy and practical hardware modification.

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Cited By

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  • (2019)Traffic Aware Energy Efficient RouterIEEE Journal on Selected Areas in Communications10.1109/JSAC.2016.260006334:12(3814-3827)Online publication date: 1-Jan-2019
  • (2015)Self-Adaptive Frequency Scaling Architecture for Intrusion Detection SystemTrustworthy Computing and Services10.1007/978-3-662-47401-3_10(74-82)Online publication date: 20-Jun-2015

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      cover image ACM Conferences
      ANCS '14: Proceedings of the tenth ACM/IEEE symposium on Architectures for networking and communications systems
      October 2014
      274 pages
      ISBN:9781450328395
      DOI:10.1145/2658260
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 20 October 2014

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      Author Tags

      1. energy efficient router
      2. frequency scaling
      3. green network
      4. traffic analysis

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      ANCS '14 Paper Acceptance Rate 19 of 57 submissions, 33%;
      Overall Acceptance Rate 88 of 314 submissions, 28%

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      View all
      • (2019)Traffic Aware Energy Efficient RouterIEEE Journal on Selected Areas in Communications10.1109/JSAC.2016.260006334:12(3814-3827)Online publication date: 1-Jan-2019
      • (2015)Self-Adaptive Frequency Scaling Architecture for Intrusion Detection SystemTrustworthy Computing and Services10.1007/978-3-662-47401-3_10(74-82)Online publication date: 20-Jun-2015

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