Video streaming processing using fog computing

The most prevalent media on the Internet is Video streaming which has the greatest bandwidth expended. The massive quantity of internet usage goes for video streaming that expends nearly 70% of the internet today. However, there are constraints for Interactive media represented by increased bandwidth usage and lateness. Cloud computing not suitable for interactive application because the data transmissions between cloud centers and end users have a high response time. Fog computing is extending of cloud service, it's an intermediary layer between cloud and end user, it aims to provide services close to the user onto the network edge. This study proposes an architecture to reduce the limitation in video outflowing by employing fog computing to deliver very lower response time and real-time communication, and weighted round robin algorithm for scheduling streaming task in fog environment. The experiment results display that in the suggested architecture the latency is minimum and good quality of video with bandwidth changes.