  The distributed edge storage system can store data collected at the edge of
the network in a decentralised manner, with low latency, high security, and
flexibility. Traditional edge-distributed storage systems only consider one
single factor, such as node capacity, when storing data, ignoring network and
storage node load conditions that affecting the system's read/write
performance. At the same time, it could be more scalable in the widely used
wireless terminal application scenarios. To tackle these challenges, this paper
proposes an innovative software-defined edge storage architecture based on SDN
(Software-Defined Networking) and SMB (Server Message Block) protocols, A data
storage node selection algorithm that integrates the network state and storage
node load state is designed based on multi-attribute decision model, and a
system prototype is realised in conjunction with 5G wireless communication
technology. Experimental results demonstrate significant improvements in the
performance of high-load write operations compared to traditional
edge-distributed storage systems. The proposed wireless distributed edge
storage system also demonstrates superior scalability and adaptability,
effectively addressing the challenge of limited system scalability and
improving compatibility with edge scenarios in mobile applications. In
addition, it results in cost savings in hardware deployment and presents a
promising advancement in edge storage technology.
