An Assessment of SDN-based Traffic Engineering for Data Center Networks Using the MOORA Method
Nitesh Kumar Ramancha · International Journal of Computer Science and Data Engineering · 2024
SDN-based Traffic Engineering for Data Center Networks employs Software Defined Networking (SDN) principles to optimize network traffic within data centers. By dynamically managing network resources and routing paths, SDN-based Traffic Engineering enhances performance, scalability, and efficiency, catering to the complex demands of modern data center environments. The significance of SDN-based Traffic Engineering lies in its ability to revolutionize data center networks. By leveraging Software-Defined Networking, it offers dynamic traffic control, efficient resource allocation, and scalability. This research holds the potential to enhance network performance, reduce congestion, and adapt to evolving data center requirements effectively. The study's approach utilizes the MOORA technique (Multi-Objective Optimization on the Basis of Ratio Analysis) to improve SDN-based Traffic Engineering within Data Center Networks. This includes a systematic assessment of routing options using various criteria, leading to optimized traffic control and resource distribution. The MOORA method provides a systematic strategy for achieving effective and flexible network performance. The evaluation of SDN-based Traffic Engineering for Data Center Networks involves analyzing the choices including OSPF, ECMP, Hedera, MicroTE, Mahout, and ANS. This analysis considers factors such as throughput, fault tolerance, network security, energy consumption, cost, and latency. Hedera is ranked 1st, meaning it had the highest score and best overall performance against the criteria. OSPF routing ranked 2nd, followed by Mahout in 3rd and ANS in 4th. ECMP routing and MicroTE had the lowest rankings at 5th and 6th place respectively. This suggests Hedera performed best compared to the other options, while ECMP routing and MicroTE were assessed as the weakest alternatives according to the analysis. The rankings provide an ordered overview of how the different routing options stack up in terms of meeting the desired evaluation factors.