Load Balancing and Routing Mechanism Based on Software Defined Network in Data Centers

In this research, we have proposed a data center network architecture based on the Software-Defined Networks (SDN). By assigning topology-aware addresses to each switch, auto routing not only reduces human error, but also decreases the size of the FIB. Besides, the centralized management can avoid the broadcast storm and increase the bandwidth utilization by global routing decisions. In terms of the path selection strategy, we adopted the On-Line Routing (OLR) method to calculate the optimal path. We also studied the effect of the distributing network traffic via multipath routing. We compared the performance of the OLR with that of the ECMP via running simulations using the Mininet emulator. Our numerical results show that the throughput of the OLR increases by 30% when compared to that of the ECMP.

[1]  Olivier Richard,et al.  A comparative study of network link emulators , 2009, SpringSim '09.

[2]  Amin Vahdat,et al.  Hedera: Dynamic Flow Scheduling for Data Center Networks , 2010, NSDI.

[3]  Sujata Banerjee,et al.  DevoFlow: cost-effective flow management for high performance enterprise networks , 2010, Hotnets-IX.

[4]  Murali S. Kodialam,et al.  Traffic engineering in software defined networks , 2013, 2013 Proceedings IEEE INFOCOM.

[5]  Steven S. W. Lee,et al.  Design of SDN based large multi-tenant data center networks , 2015, 2015 IEEE 4th International Conference on Cloud Networking (CloudNet).

[6]  Tzi-cker Chiueh,et al.  Peregrine: An All-Layer-2 Container Computer Network , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[7]  Serge A. Plotkin,et al.  Routing and admission control in general topology networks with Poisson arrivals , 1995, SODA '96.

[8]  Ren-Hung Hwang,et al.  Design of SDN-Enabled Cloud Data Center , 2015, 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity).

[9]  George Varghese,et al.  CONGA: distributed congestion-aware load balancing for datacenters , 2015, SIGCOMM.

[10]  Albert G. Greenberg,et al.  The nature of data center traffic: measurements & analysis , 2009, IMC '09.

[11]  Allan Borodin,et al.  Online computation and competitive analysis , 1998 .