• samreen fayaz
• zahoor ahmed najar

This paper describes the concept of cloud computing and how traditionally, it has been used for operating Internet of Things (IoT) data. But most of the IoT applications claims to have real-time reaction which cannot be attained through Cloud Computing mainly because of inherent latency. Fog Computing figures this problem by providing cloud-like services at the edge of the network. The computationally potent edge devices have put up with to discover this idea. Evidencing the exponential rise of IoT applications, Fog Computing deserves an in-depth exploration. The motive of Fog cloud is to perform low-latency computation/aggregation on the data while routing it to the central cloud for heavy computations. This paper displays the requirement for Fog Computing for processing IoT data. Readers will be able to achieve a fair comprehension of the various aspects of Fog Computing. The benefits, challenges and applications of Fog Computing with respect to IoT have been discussed. An architecture for IoT data processing is demonstrated. A thorough comparison between Cloud and Fog has been depicted. Also, an intricate discussion has been depicted on how the IoT, Fog, and Cloud interact among them.

– Fog computing , IoT(internet of things), QoS(quality of service), WSN

"A TRANSITION IN PROCESSING IOT DATA FROM REMOTE DATA CENTERS TO EDGE DEVICES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.720-730, June-2019, Available :http://www.jetir.org/papers/JETIR1906G12.pdf

"A TRANSITION IN PROCESSING IOT DATA FROM REMOTE DATA CENTERS TO EDGE DEVICES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp720-730, June-2019, Available at : http://www.jetir.org/papers/JETIR1906G12.pdf