Green Traffic Engineering for Future Core Networks

TL;DR

This paper introduces a distributed heuristic for energy-aware traffic engineering in future core networks, balancing load and energy consumption while maintaining performance.

Contribution

It presents a novel problem formulation and a practical heuristic scheme (ETE) for energy-efficient traffic management in future networks.

Findings

ETE achieves near-optimal network performance

ETE effectively balances load and energy consumption

Simulation confirms ETE's suitability for future networks

Abstract

An important goal towards the design of Future Networks is to achieve the best ratio of performance to energy consumption and at the same time assure manageability. This paper presents a general problem formulation for Energy-Aware Traffic Engineering and proposes a distributed, heuristic Energy-Aware Traffic Engineering scheme (ETE) that provides load balancing and energy-awareness in accordance with the operator's needs. Simulation results of ETE compared to the optimal network performance confirm the capability of ETE to meeting the needs of Future Networks.