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.

翻译：分布式边缘存储系统能够以去中心化方式存储网络边缘采集的数据，具有低延迟、高安全性与灵活性等优势。传统边缘分布式存储系统在存储数据时仅考虑节点容量等单一因素，忽略了影响系统读写性能的网络与存储节点负载状态，同时在广泛应用的无线终端场景中扩展性不足。针对这些挑战，本文提出了一种基于软件定义网络（SDN）与服务器消息块（SMB）协议的创新软件定义边缘存储架构，基于多属性决策模型设计了融合网络状态与存储节点负载状态的数据存储节点选择算法，并结合5G无线通信技术实现了系统原型。实验结果表明，与传统边缘分布式存储系统相比，该系统在高负载写操作性能方面有显著提升。所提出的无线分布式边缘存储系统还展现出卓越的扩展性与适应性，有效解决了系统扩展性受限的问题，并提升了与移动应用中边缘场景的兼容性。此外，该系统可降低硬件部署成本，为边缘存储技术带来了有前景的突破进展。