| Abstract |
At the point when things are associated with the cloud to deal with their information in a brought together manner, a few difficulties become basic. It does not generally bode well to move all the information to the cloud and there are a few situations where reaction time is basic. In those cases, conveying computational limit is the arrangement, and there are two fundamental methods of doing that utilizing edge or fog figuring. This book chapter discusses introduction, background study, overview, comparison, benefits, use cases, challenges, future of edge, and fog compute model along with a case study of streaming analytics in big data for emergency vehicles movement in smart city traffic management and conclusion. Controlling traffic signal in favor of emergency vehicles like ambulances is the need of the hour with an increase in the number of COVID cases. It will help the patients reach hospitals in time and save their lives. A case study based on signalfree movement of the emergency vehicles by using fog and edge computing paradigms with streaming analytics in big data is explored in this book chapter. |
