An Energy-saving Multi-path Traffic Scheduling Approach for Data Center Networks Based on the Rate Scaling

As one of the core technologies of cloud computing, data center networks (DCNs) are widely used in practice. Applying software-defined network (SDN) to data center networks can effectively control and plan the data transmission process. In this paper, a multi-path traffic scheduling approach for data center networks is proposed to achieve energy savings. First introduce the energy function based on the rate scaling to calculate the energy consumption of the network, Then schedule the transmission paths for energy saving purposes in different situations. Finally, simulation with other methods to verify the effectiveness of the proposed algorithm, and the results show that our algorithm Excels in dynamic energy savings.