A Comprehensive Analysis of Computing Paradigms Leading to Fog Computing: Simulation Tools, Applications, and Use Cases

ABSTRACTThe emerging trend of computing technologies and the Internet of Things (IoT) makes applications optimal and more responsive for real-time data processing. It generates an unprecedented and heterogeneous amount of data. Cloud computing technologies were introduced with on-demand and highly scalable resources to address this data explosion problem. However, challenges like bandwidth limitation, high response time, latency-sensitive and real-time application resource demands have still existed, mostly solved through cloud computing. Therefore, cutting edge technologies in fog, edge, mist, and dew calculation are established to improve the utilization of network bandwidth, latency, and mobility in an efficient way. Research in fog computing is still in investigation mode, and several productive issues still need to be dig in depth based on platform, infrastructure, and application-oriented. Such key challenges include task partitioning, scheduling, and resource allocation. This presented survey aims to deliver a comprehensive analysis and gives cutting-edge technologies’ inside journey and evolution. The survey of simulation tools is also presented, which helps to understand & conclude the results of several scenarios and algorithms. Furthermore, major technology areas of fog, case studies on various applications and open issues are also presented.KEYWORDS: Fog computingsimulation toolsInternet of Thingscloud computationresource allocationdistributed computation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the None None.