Efficient execution of smart city’s assets through a massive parallel computational model

Abstract

Urban areas are at the forefront for upcoming wave of emerging technologies in building smart sustainable cities. These real time fashion based smart cities will be combined with physical infrastructures and services to improve the lives of its citizens. Transformation to smart city, innovation in performance increasing, data processing, planning and management will be required for smart city’s assets. In order to achieve monolithic performance and data processing, an efficient parallel computational approach can bring us closer to the desired smartness in societies. In this study, we have proposed a massive parallel computational model to deal smart city’s assets and maintain real time connectivity among them. This model will be considered as initiative for emerging exascale computing system which will be used to deal the applications in intelligent smart cities.