Computer Science

Computer Science ›› 2025, Vol. 52 ›› Issue (8): 343-353.doi: 10.11896/jsjkx.240900174

• Computer Network • Previous Articles     Next Articles

SDN-based Integrated Communication and Storage Edge In-network Storage Node Selection Method

YE Miao1, WANG Jue1, JIANG Qiuxiang2, WANG Yong3   

  1. 1 School of Information and Communications,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
    2 School of Optoelectronic Engineering,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
    3 School of Computer Science and Information Security,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
  • Received:2024-09-30 Revised:2024-12-14 Online:2025-08-15 Published:2025-08-08
  • About author:YE Miao,born in 1977,Ph.D,professor,doctoral supervisor.His main research interests include edge storage,cloud storage,software-defined networking,wireless sensor networks,pattern recognition,machine learning,deep reinforcement learning and graph neural network.
    JIANG Qiuxiang,born in 1978,engineer.Her main research interests include wireless sensor networks,pattern recognition,machine learning and graph neural networks.
  • Supported by:
    National Natural Science Foundation of China(62161006,62172095),Subsidization of Innovation Project of Guangxi Graduate Education(YCSW2023310),Ministry of Education of Key Laboratory of Cognitive Radio and Information Processing(Guilin University of Electronic Technology)(CRKL220103) and Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing(GXKL06220110).

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Abstract: In conventional edge-distributed storage systems,data is stored across multiple edge servers,where transmission latency is constrained by the distance to the edge servers,and network communication management and configuration between server nodes lack flexibility.Data transfer for edge storage is affected by factors such as bandwidth,throughput,and network failures.Moreover,traditional systems often consider only storage node capacity when selecting storage locations,overlooking the impact of edge network load and storage node load on data storage efficiency.To address these issues,this paper designs a converged edge in-network storage architecture,integrating the flexibility of Software-Defined Networking(SDN) with the efficiency of the Server Message Block(SMB) protocol.The architecture stores data generated within the edge network on certain network forwarding nodes,and the prototype system is implemented through a custom-developed edge-converged network switch.Firstly,a custom SDN switch,coupled with storage functionality,is developed to serve as an in-network storage node,allowing data to be stored on these network forwarding nodes to effectively reduce data transmission latency.Then,using SDN technology to acquire real-time network status and storage node information,dynamic optimization of network transmission is achieved,alleviating the complexity of network configuration and management.Based on this data,a multi-attribute decision-making model for data storage node selection is established,along with a hierarchical analytical algorithm that considers both network and node states for in-network storage placement.Finally,experimental results demonstrate that,compared to conventional data storage methods in edge-distributed storage systems,the designed and implemented converged edge in-network storage system offers more flexible network management and configuration,significantly reducing data storage latency.

Key words: Distributed storage, In-network storage, SDN, Wireless communication, Node selection

CLC Number: 

  • TP393
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