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A network energy efficiency and load balance model based on nonlinear programming

  • Sanqi Zhou
  • , Jia Chen
  • , Hongbin Luo
  • , Hongke Zhang
  • , Yinchao Chen
  • Beijing Jiaotong University
  • University of South Carolina

Research output: Contribution to journalArticlepeer-review

Abstract

In network research community, it has been considerably accepted that there is a trade-off between energy efficiency and load balance. However, there were very few solutions proposed to improve both of them equally. In this paper, we derive a nonlinear programming (NLP) model to settle the both aspects, by designing two nonlinear functions and introducing a nonlinear power-bandwidth function. The simulation results show that, our model achieves near-optimal in energy efficiency and load balance simultaneously. Comparing to open shortest path first (OSPF), our model reduces the maximum link utilization (MLU) by 54.7%, and the power consumption by 68.5%.

Original languageEnglish
Pages (from-to)1955-1960
Number of pages6
JournalICIC Express Letters
Volume8
Issue number7
StatePublished - Jul 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Adaptive link rate
  • Energy efficiency
  • Load balance
  • Multicommodity flow

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