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.

在过去的几年中，物联网 (IoT) 出现了巨大的增长。它正在被全球所有应用领域所采用，并在打造智能环境方面发挥着至关重要的作用。在基于物联网的范例中，数以百万计的传感器和智能设备相互连接并产生大量数据。对于数据计算和分析，我们需要能够提供边缘级别服务的计算资源。这些计算资源也可能能够处理带宽、存储和延迟相关的问题。物联网中的计算技术可以提供最终用户级别的服务，这将提高系统的整体性能和更高的实时吞吐量。基于物联网的智能设备或传感器的发展速度需要具有广泛地理分布的移动性，这只有通过计算技术才能实现。在本文中，我们讨论了物联网范式中云、雾和雾计算的新兴机会，并描述了这些计算技术的分层架构。除此之外，还深入讨论了物联网范式中解决问题的各种特征和意义。