Artificial Intelligence Based Latency Reduction Techniques in Fog Edge Computing in Iot and Big Data Environments

Abstract

The group of real world physical devices like machines, vehicles and various newline things connected to Internet is called as Internet of things (IoT). These things are deployed newlinewith certain hardware components such as microcontrollers/processors, sensors, actuators and newlinenetworking capabilities along with certain amount of programmability. These resources make newlinethese things smarter by associating with each other and exchange the information themselves. newlineThis integration makes the doors open for more straightforward coordination of the physical newlineworld things into cyber world, which brings the financial advantages, proficiency changes, and newlinereduces manhours. The volume of the total number of IoT devices is expanding every year and newlineit was 8.4 billion in 2017, and it is estimated that there would be 30 billion gadgets by the year newline2020. IoT have a wide spread applications like smart city, smart grid, intelligent transportation, newlinehealth care etc. The major challenge in IoT is that it is fully dependent on the cloud for all kinds newlineof computation, which leads to high latency in the IoT devices. To overcome this latency issue, newlinethe Edge and Fog computing were introduced newline