  The smart grid utilizes many Internet of Things (IoT) applications to support
its intelligent grid monitoring and control. The requirements of the IoT
applications vary due to different tasks in the smart grid. In this paper, we
propose a new computing paradigm to offer location-aware, latencysensitive
monitoring and intelligent control for IoT applications in the smart grid. In
particular, a new fog-based architecture and programming model is designed. Fog
computing extends computing to the edge of a network, which has a perfect match
to IoT applications. However, existing schemes can hardly satisfy the
distributed coordination within fog computing nodes in the smart grid. In the
proposed model, we introduce a new distributed fog computing coordinator, which
periodically gathers information of fog computing nodes, e.g., remaining
resources, tasks, etc. Moreover, the fog computing coordinator also manages
jobs so that all computing nodes can collaborate on complex tasks. In addition,
we construct a working prototype of intelligent electric vehicle service to
evaluate the proposed model. Experiment results are also presented to
demonstrate that our proposed model exceed the traditional fog computing
schemes for IoT applications in the smart grid.
