2015 IEEE Global Communications Conference (GLOBECOM) · 2015 · 60 citations · 17 references
ComputingComputer EngineeringComputer SystemsComputer NetworksDigital CommunicationInterconnection NetworksFat-tree NetworksNetwork Performance AnalysisNetwork SwitchingRoutingRouting AlgorithmsSoftware-defined NetworkingCompressionCompression TechniquesData Center NetworkForwarding SystemsPacket Loss AnalysisReconfigurationRouting OptimizationSoftware-defined Networking Routing
Software Defined Networking (SDN) is gaining momentum with the support of major manufacturers. While it brings flexibility in the management of flows within the data center fabric, this flexibility comes at the cost of smaller routing table capacities. In this paper, we investigate compression techniques to reduce the forwarding information base (FIB) of SDN switches. We validate our algorithm, called MINNIE, on a real testbed able to emulate a 20 switches fat tree architecture. We demonstrate that even with a small number of clients, the limit in terms of number of rules is reached if no compression is performed, increasing the delay of all new incoming flows. MINNIE, on the other hand, reduces drastically the number of rules that need to be stored with a limited impact on the packet loss rate. We also evaluate the actual switching and reconfiguration times and the delay introduced by the communications with the controller.
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