Edge computing refers to decentralized computing technology to reduce cloud computing's overload or security problems that redirect local data to a central data center. Edge computing is emerging as a technology that complements cloud computing in an IoT environment where huge amounts of data are generated in real time. This study introduces architectures of IoT sensor network, data control schemes, fog computing and edge computing technology. This study also reviews the requirements of IoT service from the aspects of transmission, storage and computing, and analyzes data balancing and data recovery. This paper also proposes a data management scheme called DaRM, utilizing dual IoT gateways to provide efficient and stable data service in IoT environment. DaRM exploits both edge gateway and fog gateway to improve data reliability and communication efficiency. DaRM can transmit compressed sensor data by reducing overhead in advance through delayed replication and column-based data compression.
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