Graphical Neural Network-Enabled Software-Defined Networking Technique for Naval SCADA Systems

被引:0
|
作者
Tomar, Shaivi [1 ]
Smith, Andrew [2 ]
Li, Yan [2 ]
Du, Liang [3 ]
机构
[1] Penn State Univ, Dept Comp Sci Engn, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
[3] Temple Univ, Dept Elect & Comp Engn, Philadelphia, PA 19122 USA
来源
2024 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ITEC 2024 | 2024年
关键词
Graphical Neural Network (GNN); Software-Defined Networking (SDN); OpenFlow; RouteNet;
D O I
10.1109/ITEC60657.2024.10598887
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper introduces the application of attention-temporal graphic neural networks to enhance traffic flow and reduce delay in software-defined networks (SDN). Graphical Neural Networks (GNN), which have recently gained popularity for their efficiency in traffic data analysis, are further refined in attention temporal GNN by incorporating time as a critical variable. This paper emphasizes the role of each node within the network, representing individual data points, and the links that illustrate the interconnection and traffic intensity between them. The attention temporal GNN framework is constructed with multiple layers, each layer representing a unique time segment within the neural network. Central to this architecture are two critical variables in each layer: one indicating the state of the layer at a given moment and the other reflecting the traffic load at that specific point in time. By leveraging datasets generated from SDN environments, the GNN model is trained to enhance the network traffic management and optimization. This study demonstrates the effectiveness of the attention temporal GNN model in elevating SDN performance, marking a significant advancement in network management technology.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Special issue on future network: software-defined networking
    Huang, Tao
    Yu, F. Richard
    Liu, Yun-jie
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2016, 17 (07) : 603 - 605
  • [22] Special issue on future network: software-defined networking
    Tao Huang
    F. Richard Yu
    Yun-jie Liu
    Frontiers of Information Technology & Electronic Engineering, 2016, 17 : 603 - 605
  • [23] Software-defined network-enabled opportunistic offloading and charging scheme in multi-unmanned aerial vehicle ecosystem
    Vashisht, Sahil
    Jain, Sushma
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2019, 32 (08)
  • [24] Vehicular Cloud Serving Systems with Software-Defined Networking
    Chang, Yao-Chung
    Chen, Jiann-Liang
    Ma, Yi-Wei
    Chiu, Po-Sheng
    INTERNET OF VEHICLES - SAFE AND INTELLIGENT MOBILITY, IOV 2015, 2015, 9502 : 58 - 67
  • [25] Software-defined optical networking applications enabled by programmable integrated photonics
    Zhenyun, Xie
    Sanchez-Jacome, David
    Torrijos-Moran, Luis
    Perez-Lopez, Daniel
    JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2024, 16 (08) : D10 - D17
  • [26] Software-defined networking based network virtualization for mobile operators
    Narmanlioglu, Omer
    Zeydan, Engin
    COMPUTERS & ELECTRICAL ENGINEERING, 2017, 57 : 134 - 146
  • [27] Software-Defined Networking as an Enabler for Future Industrial Network Management
    Ehrlich, Marco
    Krummacker, Dennis
    Fischer, Christoph
    Guillaume, Rene
    Olaya, Santiago Soler Perez
    Frimpong, Ansah
    de Meer, Hermann
    Wollschlaeger, Martin
    Schotten, Hans D.
    Jasperneite, Juergen
    2018 IEEE 23RD INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2018, : 1109 - 1112
  • [28] Consistent Network Management for Software-Defined Networking Based Multicast
    Kohler, Thomas
    Duerr, Frank
    Rothermel, Kurt
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2016, 13 (03): : 447 - 461
  • [29] Authenticated Network Coding for Software-Defined Named Data Networking
    Boussaha, Ryma
    Challal, Yacine
    Bouabdallah, Abdelmadjid
    PROCEEDINGS 2018 IEEE 32ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA), 2018, : 1115 - 1122
  • [30] Identification and predication of network attack patterns in software-defined networking
    Xu, Xiaojun
    Wang, Shuliang
    Li, Ying
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 12 (02) : 337 - 347