Abstract
In the last couple of years, massive growth has been seen in the Internet of Things (IoT). It is being adopted by all the application areas worldwide and playing a vital role in making smart environments. In IoT based paradigms, millions of sensors and intelligent devices are linked with each other and produce a massive volume of data. For data computation and analysis, we need computing resources that will able to provide the services at the edge levels. These computing resources may also be capable of dealing with bandwidth, storage, and latency related issues. The computing technologies in IoT may offer the services at the end-user levels, which will increase the system's overall performance with higher throughput in real-time. The developing rate of IoT based smart devices or sensors needs mobility with extensive geographical distribution, which is only possible by computing technologies. In this paper, we have discussed the emerging opportunities of Cloud, Fog, and Mist computing in IoT paradigms and also described the layer-wise architecture of these computing technologies. Apart from this, various characteristics and significance toward the problem-solving in the IoT paradigm have also been deeply discussed.
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