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NVM Storage in IoT Devices: Opportunities and Challenges
Authors:Yang Liu  Shan Zhao  Wenhan Chen  Xuran Ge  Fang Liu  Shuo Li  Nong Xiao
Affiliation:1 College of Computer, National University of Defense Technology, Changsha, 410000, China2 School of Design, HuNan University, Changsha, 410000, China3 School of Informatics, University of Edinburgh, Edinburgh, EH8 9JU, UK
Abstract: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.
Keywords:IoT  NVM  storage system  energy efficiency  security and privacy
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