A Game-Theoretic Approach to Resolve Conflict Between Traffic Engineering for Energy Efficiency and Load Balancing

Abstract

Conflict between the two TE (Traffic Engineering) techniques for EE (Energy Efficiency) and LB (Load Balancing) has been paid attention to. This is because the both objectives are difficult to simultaneously achieve due to that the both TE techniques control the routing matrix: power and link cost minimization. The goal of this paper is to show feasibility of achieving a fair tradeoff between these two inherently conflicting objectives by using a game theoretic approach and to develop an algorithm wherein EE and LB objectives are simultaneously achieved in a fair manner.