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The smart grid utilizes many Internet of Things (IoT) applications to supportits intelligent grid monitoring and control. The requirements of the IoTapplications vary due to different tasks in the smart grid. In this paper, wepropose a new computing paradigm to offer location-aware, latencysensitivemonitoring and intelligent control for IoT applications in the smart grid. Inparticular, a new fog-based architecture and programming model is designed. Fogcomputing extends computing to the edge of a network, which has a perfect matchto IoT applications. However, existing schemes can hardly satisfy thedistributed coordination within fog computing nodes in the smart grid. In theproposed model, we introduce a new distributed fog computing coordinator, whichperiodically gathers information of fog computing nodes, e.g., remainingresources, tasks, etc. Moreover, the fog computing coordinator also managesjobs so that all computing nodes can collaborate on complex tasks. In addition,we construct a working prototype of intelligent electric vehicle service toevaluate the proposed model. Experiment results are also presented todemonstrate that our proposed model exceed the traditional fog computingschemes for IoT applications in the smart grid.

A Fog-based Architecture and Programming Model for IoT Applications in the Smart Grid