Abstract

In this paper, we validate the energy efficiency improvements in core networks obtained through mixed integer linear programming (MILP) optimization models as part of the GreenMeter study carried out by the GreenTouch consortium by developing closed form expressions and bounds for the power consumption of core networks. We consider nonbypass, bypass, mixed line rates, and physical topology optimization energy efficiency schemes. In addition to validating the optimization model results by setting bounds on the power consumption, these bounds can predict network performance at operating conditions highly complex for the MILP models. The derivation of a single bound that includes all the measures proved intractable and therefore each measure is evaluated separately.

Highlights

  • T HERE has been a growing demand for advanced energy efficient schemes in the wake of the exponential growth of Internet traffic resulting from the popularity of data intensive applications and the widespread use of Internet connected devices

  • In this paper we extend our work by developing bounds on the power consumption of core networks for the non-bypass, bypass, mixed line rate and topology optimization scenarios to verify the energy savings of these schemes individually obtained through mixed integer linear programming (MILP) optimization models and to provide simple analytic bounds and closed form expressions that can be used to obtain results for individual measures or a set of measures

  • In this paper we developed bounds on the power consumption of core networks for the non-bypass, bypass, MLR and topology optimization scenarios to verify the individual elements of the optimization models produced in our previous GreenTouch core network energy efficiency models

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Summary

INTRODUCTION

T HERE has been a growing demand for advanced energy efficient schemes in the wake of the exponential growth of Internet traffic resulting from the popularity of data intensive applications and the widespread use of Internet connected devices. Similar to the non-bypass approach, we develop upper and lower bounds for the IP over WDM power consumption under the bypass approach considering sleep, energy efficient and inefficient protection and random and equal average traffic demands. We develop upper and lower bounds, as well as an approximating expression of the IP over WDM network power consumption under the optimum MLR solution considering the bypass and non-bypass approach, sleep, energy efficient protection and equal average traffic demands. We develop upper and lower bounds on the power consumption of the optimum energy efficient topology for IP over WDM network under the bypass approach considering sleep, energy efficient protection and equal traffic demands.

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CONCLUSIONS
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