Energy-efficient traffic grooming under sliding scheduled traffic model for IP over WDM optical networks

Abstract

In this paper, we investigate on the problem of energy-efficient traffic grooming under sliding scheduled traffic model for IP over WDM optical networks, so as to minimize the total energy consumption of the core network. We present a two-layer auxiliary graph model and propose a new energy-efficient traffic grooming heuristic named Two-Dimension Green Traffic Grooming (TDGTG) algorithm, which takes both space and time factors into consideration for network energy efficiency. We compare our proposed TDGTG algorithm with the previous traffic grooming algorithms for scheduled traffic model in terms of total energy consumption and blocking probability. The simulation results in three typical carrier topologies show the efficiency of our proposed TDGTD algorithm.