With the emergence of Internet-of-Things (IoT) and ever-increasing demand for the newly connected devices, there is a need for more effective storage and processing paradigms to cope with the data generated from these devices. In this study, we have discussed different paradigms for data processing and storage including Cloud, Fog, and Edge computing models and their suitability in integrating with the IoT. Moreover, a detailed discussion on low latency and massive connectivity requirements of future cellular networks in accordance with machine-type communication (MTC) is also presented. Furthermore, the need to bring IoT devices to Internet connectivity and a standardized protocol stack to regulate the data transmission between these devices is also addressed while keeping in view the resource constraint nature of IoT devices.

翻译：随着互联网的出现和对新连接装置的需求不断增加,需要更有效的储存和处理模式来处理这些装置产生的数据,在这项研究中,我们讨论了数据处理和储存的不同模式,包括云、雾和边缘计算模型,以及它们是否适合与IoT相结合。此外,还详细讨论了根据机型通信(MTC)对未来蜂窝网络的低潜伏性和大规模连通性要求。此外,还探讨了需要将IoT装置连接到互联网连接和规范这些装置之间数据传输的标准化协议堆的问题,同时考虑到IoT装置的资源限制性质。