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Smart farming is a recent innovation in the agriculture sector that canimprove the agricultural yield by using smarter, automated, and data drivenfarm processes that interact with IoT devices deployed on farms. A cloud-foginfrastructure provides an effective platform to execute IoT applications.While fog computing satisfies the real-time processing need of delay-sensitiveIoT services by bringing virtualized services closer to the IoT devices, cloudcomputing allows execution of applications with higher computationalrequirements. The deployment of IoT applications is a critical challenge ascloud and fog nodes vary in terms of their resource availability and usedifferent cost models. Moreover, diversity in resource, quality of service(QoS) and security requirements of IoT applications make the problem even morecomplex. In this paper, we model IoT application placement as an optimizationproblem that aims at minimizing the cost while satisfying the QoS and securityconstraints. The problem is formulated using Integer Linear Programming (ILP).The ILP model is evaluated for a small-scale scenario. The evaluation shows theimpact of QoS and security requirement on the cost. We also study the impact ofrelaxing security constraint on the placement decision.

Cost-efficient, QoS and Security aware Placement of Smart Farming IoT Applications in Cloud-Fog Infrastructure