  Data center networks need load balancing mechanisms to dynamically serve a
large number of flows with different service requirements. However, traditional
load-balancing approaches do not allow the full utilization of network
resources in a simple, programmable, and scalable way. In this context, this
paper proposes RDNA Balance that exploits elephant flow isolation and source
routing in core nodes. Flow classification operations are performed on the edge
using features of the OpenFlow protocol. The results show that with this
approach it is possible to provide a simple, scalable, and programmable load
balancing for data centers.
