TY - EJOU AU - Liu, Yang AU - Zhao, Shan AU - Chen, Wenhan AU - Ge, Xuran AU - Liu, Fang AU - Li, Shuo AU - Xiao, Nong TI - NVM Storage in IoT Devices: Opportunities and Challenges T2 - Computer Systems Science and Engineering PY - 2021 VL - 38 IS - 3 SN - AB - Edge storage stores the data directly at the data collection point, and does not need to transmit the collected data to the storage central server through the network. It is a critical technology that supports applications such as edge computing and 5G network applications, with lower network communication overhead, lower interaction delay and lower bandwidth cost. However, with the explosion of data and higher real-time requirements, the traditional Internet of Things (IoT) storage architecture cannot meet the requirements of low latency and large capacity. Non-volatile memory (NVM) presents new possibilities regarding this aspect. This paper classifies the different storage architectures based on NVM and compares the system goals, architectures, features, and limitations to explore new research opportunities. Moreover, the existing solutions to reduce the write latency and energy consumption and increase the lifetime of NVM IoT storage devices are analyzed. Furthermore, we discuss the security and privacy issues of IoT devices and compare the mainstream solutions. Finally, we present the opportunities and challenges of building IoT storage systems based on NVM. KW - IoT; NVM; storage system; energy efficiency; security and privacy DO - 10.32604/csse.2021.017224