Smart Dashboard: A Novel Approach for Sustainable Development of Smart Cities using Fog Computing

Smart cities are able to support the growing population with a well-built infrastructure and it should also have support for all time utilities like water, electricity with improved mechanisms of IoT system. In this paper, the smart dashboard based on fog-supported architecture is discussed and it is able to provide different type of computation and communication between applications as well as things together. The key concept is to store most of the data nearer to the edge instead of cloud at every time. The proposed architecture can provide IoT edge data analytics using big-data analytics and it can also manage the computation to off-load at nearby fog to fulfill the requirement of current development of smart cities. The proposed system is considered enough robust and it is useful to provide the use case scenarios for the different utilities of smart cities. To propose a framework of virtualized software defined fog computing that accepts IoT data of various utilities and plots the analytic on smart dashboard to be used for smart cities. The ifog simulator is briefly discussed and it is used for analysis on existing data that works with machine learning approach to solve the issues such as optimization of resources at the fog layer, prediction mechanism, real-time processing, etc. Finally, we have discussed different parameters for the application submission using placement policy and second one, the resource management is efficiently managed by scheduling policy. These both policies are used to map application modules to fog devices.