FLIP-FLexible IoT Path Programming Framework for Large-scale IoT
Shahzad Shahzad, Eun-Sung Jung · 2020
With the rapid increase in smart objects forming IoT fabric, it is likely to see billions of devices connected to the internet, forming large-scale IoT networks. This fast growth in IoT gave rise to network complexity and increased user requirements. Collecting data from these IoT devices with optimal network utilization and simplicity is becoming more and more challenging. This paper proposes FLIP- FLexible IoT Path Programming Framework for Large-scale IoT. FLIP focuses on the IoT fabric from the perspective of user requirements. It uses Software Defined Networking (SDN) techniques along with Deep Packet Inspection (DPI) technology to efficiently fulfill these requirements and establish datapath in the network in an automated and distributed manner. FLIP utilizes SDN’s core capabilities like datapath programming and centralized view of the network to apply in-network computing and automated datapath establishment to optimize overall network utilization. We evaluated our framework through experiments, and results indicate that FLIP has the potential to fulfill user requirements in an automated fashion and optimize network utilization.