**2. Background**

Edge is the computing evolution after cloud computing but edge will not replace cloud in any means rather it will supplement cloud. On top level, always there will be cloud layer next to cloud layer bottom the edge layer will present, whenever applications is having data sensitive processing rather than cloud for faster processing. In research paper [1], all the basic scientific methods of cloud, edge, and fog computing have been discussed. Another research paper [2] compared this edge and cloud technology in performance parameters such as data filtering, processing, storage, and efficiency. Both the technological paradigms complement each other, n future industries such as manufacturing, mining, and transportation for detecting anomalies and sending alerts. In paper [3], comparison of fog nodes, edge nodes, and cloudlets is done on theoretical perspectives. The model reflects context awareness, access mechanisms, etc., and these have different set of characteristics that isolate them apart and it lacks standardization. The edge actually is acting as an interface, which connects all the edge devices to the cloud. Cloud will offer the services such as storing, processing, and analyzing the devices. By now in 2023 above 60% of the data is stored in network devices and managed in edge [4].

The major drawback cloud faces over edge is the amount of data processed per second, which is not passably supported by cloud. Next drawback is latency issues, and cloud also faces waste of resources as well. Also when data is piled and transferred to cloud it overloads the network so high bandwidth usage will occur. Edge computing [4] will not only helpful in minimizing data dependency over the app or service, and it will help in speeding up the process.
