Dynamic Control Plane for SDN at Scale

• Published in: IEEE journal on selected areas in communications Vol. 36; no. 12; pp. 2688 - 2701
• Main Authors: Gorkemli, Burak, Tatlicioglu, Sinan, Tekalp, A. Murat, Civanlar, Seyhan, Lokman, Erhan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-12-2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Channels; Cloud computing; control flow tables; Control methods; Controllers; Decentralized control; Dynamic control; dynamic control plane; Heuristic algorithms; in-band controlled switches; Network control; Network management systems; Network reliability; Network topology; off-loading control channels; off-loading controllers; Scalability; scalable control performance; SDN; Software defined networking; Switches; Switching theory; Tables; Topology; Traffic control; Wide area networks
• ISSN: 0733-8716; 1558-0008
• DOI: 10.1109/JSAC.2018.2871308

As SDN migrates to wide area networks and 5G core networks, a scalable, highly reliable, low latency distributed control plane becomes a key factor that differentiates operator solutions for network control and management. In order to meet the high reliability and low latency requirements under time-varying volume of control traffic, the distributed control plane, consisting of multiple controllers and a combination of out-of-band and in-band control channels, needs to be managed dynamically. To this effect, we propose a novel programmable distributed control plane architecture with a dynamically managed in-band control network, where in-band mode switches communicate with their controllers over a virtual overlay to the data plane with dynamic topology. We dynamically manage the number of controllers, switches, and control flows assigned to each controller as well as traffic over control channels achieving both controller and control traffic load-balancing. We introduce "control flow table" (rules embedded in the flow table of a switch to manage in-band control flows) in order to implement the proposed distributed dynamic control plane. We propose methods for off-loading congested controllers and congested in-band control channels using control flow tables. A validation test-bed and experimental results over multiple topologies are presented to demonstrate the scalability and performance improvements achieved by the proposed dynamic control plane management procedures when the controller CPU and/or availability or throughput of in-band control channels becomes bottlenecks.