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Energy-Aware Edge Infrastructure Traffic Management Using Programmable Data Planes in 5G and Beyond.

Jorge Andrés Brito1, José Ignacio Moreno1, Luis M Contreras2

  • 1Departamento de Ingeniería de Sistemas Telemáticos, ETSI de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain.

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Summary
This summary is machine-generated.

Next-generation networks can reduce energy consumption with traffic management. By dynamically powering off inactive network switches, 5G and beyond infrastructures become more sustainable and cost-effective.

Keywords:
5G and beyondP4SDNedge computingenergy efficiencyenergy proportionalitygreen computingprogrammable data planestraffic management

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Area of Science:

  • Computer Science
  • Telecommunications Engineering
  • Network Engineering

Background:

  • Next-generation networks like 5G and beyond face significant energy demands, leading to economic and environmental concerns.
  • Current network infrastructures often operate inefficiently, consuming power even with low traffic loads.

Purpose of the Study:

  • To develop and evaluate an energy-aware traffic management scheme for 5G and beyond edge networks.
  • To achieve energy proportionality by aligning network resource usage with fluctuating traffic demands.

Main Methods:

  • Utilizing programmable data planes and a Software-Defined Networking (SDN) controller for intelligent traffic management.
  • Implementing flow monitoring on programmable switches and a dynamic power manager in the SDN controller to selectively power off inactive switches.
  • Evaluating the scheme in an emulated edge environment using diverse urban traffic profiles.

Main Results:

  • Significant energy consumption reduction achieved by disabling inactive network switches, even with minor traffic load variations.
  • Normal network operations maintained without compromising performance.
  • Minimal overhead introduced to the control plane.

Conclusions:

  • Data plane-centric, energy-aware traffic management is crucial for sustainable 5G and beyond edge infrastructures.
  • The proposed scheme offers a practical solution for reducing operational costs and environmental impact.
  • The approach demonstrates adaptability for future networking requirements.