A Survey on Fog computing paradigms, Challenges and Opportunities in IoT

The emergence of numerous IoT devices leads to more data explosion and uncontrollable traffic. Though cloud computing performs well in processing and storing data, most applications in IoT require quicker services. In Cloud applications, higher bandwidth is necessary to reduce the latency. Another major challenge in cloud computing is security. For increasing the response time of the system and providing effective security and privacy a concept called fog computing is introduced by cisco in January 2014. Fogging (fog computing) helps in the computation of data between end devices and cloud servers. This paper analyses and summarizes fog computing and characterizes need challenges like latency, data quality, real-time response, computation, resource allocation, privacy, security, heterogeneity, power management, bandwidth management, and other fog computing issues. Based on the analysis, a future research topic is also discussed to increase the response time of the system.