A Green and Robust Optimization Strategy for Energy Saving Against Traffic Uncertainty

Abstract

This paper introduces a green and robust optimization scheme based on hose model with bound of link traffic (HLT), in order to achieve power savings in the networks with traffic uncertainty. Most of the studies on green communications nowadays are based on estimates of real traffic matrix. However predicting the traffic matrix is a difficult task for network operators. Further, these models may not be fully applicable in a context where the traffic often fluctuates. By using HLT, the knowledge of the exact traffic information is not required. The traffic is specified by the total outgoing and incoming amount at each node and the total traffic going through each link. We formulate the problem as a mixed integer linear programming (MILP) problem, with an objective to reduce the flow through each link and allow the links to be put to sleep mode. We develop a heuristic to mitigate the limitations of the MILP formulation. Simulation results show that green HLT, while being robust to traffic uncertainty, achieves power efficiency comparable to the models where the knowledge of the traffic information is required.