Nam Le

Virtual Network Embedding

Nam Le
Table of Contents

Virtual Network Embedding #

Virtual Network Embedding (VNE) is the problem of mapping virtual network components (nodes and links) onto a physical network infrastructure, optimizing resource utilization and quality of service.

Recent Literature #

  1. Deep Reinforcement Learning for Virtual Network Embedding ACM SIGCOMM, 2020. paper, code

    Zhu Ren, Liang Hong, Wei Zhang

  2. GNN-based Reinforcement Learning for Virtual Network Embedding IEEE ICDCS, 2021. paper

    Yikang Wang, Zhu Ren, Mingwei Xu, Wei Zhang

  3. Neural Network Assisted Heuristics for Virtual Network Embedding IEEE INFOCOM, 2021. paper

    Xiaoming Huo, Shilin Dong, Chen Sun, Yonggang Wen

  4. Graph Reinforcement Learning Based Learning-to-Rank for Node Classification ICDM, 2020. paper

    Yupeng Liu, Shuai Zhang, Juncheng Liu, Weiye Li, Shuai Li, Houfeng Wang

  5. Scalable Virtual Network Embedding with Deep Reinforcement Learning IEEE Transactions on Network and Service Management, 2021. paper

    Yongmin Choi, Inyoung Kim, Namkyu Park

  6. Machine Learning-Based Resource Allocation for Virtual Network Embedding IEEE Network, 2022. paper

    Jun Sun, Shen Su, Shaohua Wan, Qiang Ye

  7. Deep Learning Assisted VNE in Multi-domain Networks IEEE JSAC, 2019. paper

    Peng Sun, Mingwei Xu, Yiming Sun

  8. Virtual Network Embedding via Attributed Graph Embeddings and Deep Learning IEEE Access, 2020. paper

    Yu Chen, Xiaofeng Zhang, Xiangyang Gong, Jianxin Wang

  9. Accelerating Virtual Network Embedding with Deep Neural Networks IEEE INFOCOM, 2020. paper

    Jian Sun, Yangxiu Cui, Yufeng Wang, Tingyu Ma

  10. DRL-based Virtual Network Embedding with Guaranteed Resource Constraints IEEE Transactions on Network and Service Management, 2021. paper

    Xuesong Yin, Yong Xia, Zhuo Su

  11. Graph Neural Networks for Virtual Network Embedding IEEE IJCNN, 2021. paper

    Jamal Hasan, Mohammed Alreshoodi, Ramin Sadre

  12. Resource Prediction in Virtual Network Embedding using Graph Neural Networks IEEE CLOUDNET, 2021. paper

    Jérôme François, Thomas Engel

  13. Virtual Network Embedding: A State-of-the-Art Survey IEEE Communications Surveys & Tutorials, 2020. paper

    Nashid Shahriar, Atta ur Rehman Khan, Sanjay P. Deshpande, Reaz Ahmed

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