Edge Computing pdf | Doc | Seminar Report

Download the latest technical seminar on Edge Computing in pdf, doc and ppt format. Here we discuss the fog, cloud, and edge computing, architecture, how it works, latest examples and applications in various organizations. The big data analytics happens at the edge of the network and closer to the IoT devices and sensors.
Thus, edge computing can speed up the analysis process, allowing decision makers to take action on insights faster than before. Some examples where this type of computing plays a dominant role are the autonomous vehicles, fleet management, in Industrial Internet of Things (IIoT), applications such as manufacturing, augmented reality, remote cloud service, power production, smart cities and smart traffic lights. edge computing will drive the implementations in the future during the massive deployment of Internet of Things (IoT) sensors. So, Edge technology helps in flowing less data through networks which in turn increases performance and save cloud computing costs. This also reduces infrastructure costs. It speeds up the analysis process and the decision makers will come to a conclusion faster. Other major use cases have to do with the latency-sensitive data processing. Edge computing reduces latency because data does not have to travel over a network to reach a data center or cloud for processing. This is an ideal for situations where latencies of milliseconds can be undefendable, such as in financial services or manufacturing. Edge computing is an excellent topic for a seminar for computer science and communication engineers to study as both edge computing and fog computing are strongly on the rise for the IoT data rise. Download Edge Computing pdf

Seminar report on Edge Computing