A Hash-Based Distributed Storage Strategy of FlowTables in SDN-IoT Networks
Wei Zheng Ren, Yan Lindsay Sun, Tin‐Yu Wu, Mohammad S. Obaidat · 2017
Nowadays the integration of IoT and SDN has been a research hotspot which attracts significant attention. However, as resources are relatively limited in IoT, direct application of SDN will cause some challenges, one of them is that IoT forwarding nodes cannot store massive complex FlowTables like a traditional OpenFlow switch. To solve the problem, this paper proposes a hash-based distributed storage strategy. Specifically, we present a multi-dimension selection method to decide the optimum distributed storage location. And then a hash space is formed by using the content of data flow in IoT, it is the basis of FlowTables deployment and data forwarding in distributed storage. Moreover, we introduce a new FlowTables search mechanism which is built on the principle of the binary tree. Experimental results demonstrate that our strategy efficiently improves the FlowTables storage capacity with small performance loss in IoT.