QoS aware dynamic power scaling algorithms for deploying energy efficient routers

Tian Song, Xiangjun Shi, Xiaowei Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationANCS 2014 - 10th 2014 ACM/IEEE Symposium on Architectures for Networking and Communications Systems
PublisherAssociation for Computing Machinery
Pages235-236
Number of pages2
ISBN (Electronic)9781450328395
DOIs
Publication statusPublished - 20 Oct 2014
Event10th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ANCS 2014 - Marina del Rey, United States
Duration: 20 Oct 201421 Oct 2014

Publication series

NameANCS 2014 - 10th 2014 ACM/IEEE Symposium on Architectures for Networking and Communications Systems

Conference

Conference10th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ANCS 2014
Country/TerritoryUnited States
CityMarina del Rey
Period20/10/1421/10/14

Keywords

  • Energy efficient router
  • Green network
  • QoS aware

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