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QoS aware dynamic power scaling algorithms for deploying energy efficient routers

Published: 20 October 2014 Publication History

Abstract

Energy efficient routers (EERs) are promising devices to achieve green communications for ISP to save energy and cost. However, deploying this kind of routers may introduce severe accumulated packet delay, especially for high-end optical routers. In this paper, we present three contributions to solve the above issue with dynamically balancing QoS and the energy consumption, while preserve the real deployment simple and flexible. First, we propose a QoS aware power scaling algorithm for single self-motivated EER. Second, we present a QoS aware open-loop deployment method by using a short-term traffic forecast model. This model can assist EERs to adapt their capacities with the information of the incoming network traffic along the traffic path. Third, we propose a QoS aware feedback deployment method for better energy efficiency by building local control systems between two adjacent EER pairs. We evaluate the above algorithms by performing simulations. The results show that our methods are energy efficieny while controlling the packet delay.

Reference

[1]
Fu, Wenliang, and Tian Song. "A frequency adjustment architecture for energy efficient router." ACM SIGCOMM Computer Communication Review 42, no. 4 (2012): 107--108.

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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 part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 20 October 2014

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      Author Tags

      1. energy efficient router
      2. green network
      3. qos aware

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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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