Research Challenges in Coupling Artificial Intelligence and Network Management
draft-irtf-nmrg-ai-challenges-03

quot;, 2020.  IEEE International Symposium
              on Network Computing and Applications (NCA)

François, et al.        Expires 5 September 2024               [Page 37]
Internet-Draft     Coupling AI and network management         March 2024

   [Mar18]    Martinez-Julia, P., Kafle, V. P., and H. Harai,
              "Exploiting External Events for Resource Adaptation in
              Virtual Computer and Network Systems", 2018.  IEEE
              Transactions on Network and Service Management, Vol. 15,
              N. 2,

   [Mar20]    Martinez-Julia, P., Kafle, V. P., and H. Asaeda,
              "Explained Intelligent Management Decisions in Virtual
              Networks and Network Slices", 2020.  Conference on
              Innovation in Clouds, Internet and Networks and Workshops
              (ICIN)

   [Mcc93]    McCanne, S. and V. Jacobson, "The BSD packet filter: a new
              architecture for user-level packet capture", 1993.  USENIX
              Winter Conference

   [Mor18]    Moritz, P., Nishihara, R., Wang, S., Tumanov, A., Liaw,
              R., Liang, E., Elibol, M., Yang, Z., Paul, W., Jordan, M.,
              and I. Stoica, "Ray: A Distributed Framework for Emerging
              AI Applications", 2018.  USENIX Symposium on Operating
              Systems Design and Implementation (OSDI)

   [Mus18]    Musumeci, F., Rottondi, C., Nag, A., Macaluso, I., Zibar,
              D., Ruffini, M., and M. Tornatore, "An overview on
              application of machine learning techniques in optical
              networks", 2018.  IEEE Communications Surveys & Tutorials,
              21(2), 1383-1408.

   [Nas21]    Nasr, M., Bahramali, A., and A. Houmansadr, "Defeating
              DNN-Based Traffic Analysis Systems inReal-Time With Blind
              Adversarial Perturbations", 2021.  USENIX Security
              Symposium

   [Ngu20]    Nguyen, T. G., Phan, T. V., Hoang, D. T., Nguyen, T. N.,
              and C. So-In, "Efficient SDN-based traffic monitoring in
              IoT networks with double deep Q-network", 2020.
              International conference on computational data and social
              networks, Springer

   [Puj21]    Pujol-Perich, D., Suárez-Varela, J., Xiao, S., Wu, B.,
              Cabello, A., and P. Barlet-Ros, "NetXplain: Real-time
              explainability of Graph Neural Networks applied to
              Computer Networks", 2021.  MLSys workshop on Graph Neural
              Networks and Systems (GNNSys)

   [Rex06]    Rexford, J., "Route optimization in IP networks", 2006.
              Handbook of Optimization in Telecommunications (pp.
              679-700), Springer

François, et al.        Expires 5 September 2024               [Page 38]
Internet-Draft     Coupling AI and network management         March 2024

   [Rin17]    Ring, M., Dallmann, A., Landes, D., and A. Hotho, "IP2Vec:
              Learning Similarities Between IP Addresses", 2017.  IEEE
              International Conference on Data Mining Workshops (ICDMW)

   [Sch21]    Schneider, S., Qarawlus, H., and H. Karl, "Distributed
              Online Service Coordination Using Deep Reinforcement
              Learning", 2021.  IEEE International Conference on
              Distributed Computing Systems (ICDCS)

   [Sco11]    Coull, S. E., Monrose, F., and M. Bailey, "On Measuring
              the Similarity of Network Hosts: Pitfalls, New Metrics,
              and Empirical Analyses", 2011.  NDSS

   [Sen04]    Sen, S., Spatscheck, O., and D. Wang, "Accurate, scalable
              in-network identification of p2p traffic using application
              signatures", 2004.  ACM International conference on World
              Wide Web (WWW)

   [Sil16]    Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre,
              L., Driessche, G. V. D., Schrittwieser, J., Antonoglou,
              I., Panneershelvam, V., Lanctot, M., Dieleman, S., Grewe,
              D., Nham, J., Silver, D., Sutskever, I., Lillicrap, T.,
              Leach, M., Kavukcuoglu, K., Graepel, T., and D. Hassabis,
              "Mastering the game of Go with deep neural networks and
              tree search", 2016.  Nature, vol. 529 (2016), pp. 484-503

   [Sol20]    Soliman, H. M., Salmon, G., Sovilij, D., and M. Rao, "A
              Graph Neural Network Approach for Scalable and Dynamic IP
              Similarity in Enterprise Networks", 2020.  IEEE
              International Conference on Cloud Networking (CloudNet)

   [Ste92]    Stern, D. and P. Chemouil, "A Diagnosis Expert System for
              Network Traffic Management", 1992.  Networks, Kobe, Japan

   [Tan20]    Tangari, G., Charalambides, M., Pavlou, G., Grazian, C.,
              and D. Tuncer, "Classification-assisted Query Processing
              for Network Telemetry", 2020.  Network Traffic Measurement
              and Analysis Conference (TMA)

   [Tan20b]   Lizhuang, T., Wei, S., Zhenyi, Z., Jingying, M., Xiaoxi,
              L., and L. Na, "In-band Network Telemetry: A Survey",
              2020.  Computer Networks. 186. 10.1016

   [tl1]      Torrey, L. and J. Shavlik, "Transfer learning", 2010.
              Handbook of research on machine learning applications and
              trends: algorithms, methods, and techniques

François, et al.        Expires 5 September 2024               [Page 39]
Internet-Draft     Coupling AI and network management         March 2024

   [Val17]    A., V., M., S., D., S., and T. A., "Learning to route",
              2017.  ACM HotNets

   [XAI]      Samek, W., Wiegand, T., and K.-R. Müller, "Explainable
              artificial intelligence: Understanding, visualizing and
              interpreting deep learning models", 2017.  arXiv preprint
              arXiv:1708.08296

   [Xie18]    Xie, J., Yu, F. R., Huang, T., Xie, R., Liu, J., Wang, C.,
              and Y. Liu, "A survey of machine learning techniques
              applied to software defined networking (SDN): Research
              issues and challenges", 2018.  IEEE Communications Surveys
              & Tutorials

   [Xu18]     Z., X., J., T., J., M., W., Z., Y., W., H., L. C., and Y.
              D., "Experience-driven networking: A deep reinforcement
              learning based approach", 2018.  IEEE INFOCOM

   [Yan18]    Yang, T., Jiang, J., Liu, P., Huang, Q., Gong, J., Zhou,
              Y., Miao, R., Li, X., and S. Uhlig, "Elastic sketch:
              adaptive and fast network-wide measurements", 2018.  ACM
              SIGCOMM Conference

   [Yan20]    Yang, H., Alphones, A., Xiong, Z., Niyato, D., Zhao, J.,
              and K. Wu,, "Artificial-Intelligence-Enabled Intelligent
              6G Networks", 2020.  IEEE Network, vol. 34, no. 6, pp.
              272-280

   [Yu14]     Yu, Y., Qian, C., and X. Li, "Distributed and
              collaborative traffic monitoring in software defined
              networks", 2014.  ACM Hot topics in software defined
              networking

   [Zil20]    Meng, Z., Wang, M., Bai, J., Xu, M., Mao, H., and H. Hu,
              "Interpreting Deep Learning-Based Networking Systems",
              2020.  ACM SIGCOMM

Acknowledgments

   This document is the result of a collective work.  Authors of this
   document are the main contributors and the editors but contributions
   have been also received from the following people we acknowledge:
   Laurent Ciavaglia, Felipe Alencar Lopes, Abdelkader Lahamdi, Albert
   Cabellos, José Suárez-Varela, Marinos Charalambides, Ramin Sadre,
   Pedro Martinez-Julia and Flavio Esposito

François, et al.        Expires 5 September 2024               [Page 40]
Internet-Draft     Coupling AI and network management         March 2024

   This document is also partially supported by project AI@EDGE, funded
   from the European Union's Horizon 2020 H2020-ICT-52 call for
   projects, under grant agreement no. 101015922.

   The views expressed in this document do not necessarily reflect those
   of the Bank of Canada's Governing Council.

Authors' Addresses

   Jérôme François
   University of Luxembourg and Inria
   6 Rue Richard Coudenhove-Kalergi
   L- Luxembourg
   Luxembourg
   Email: jerome.francois@uni.lu

   Alexander Clemm
   Futurewei Technologies, Inc.
   United States of America
   Email: ludwig@clemm.org

   Dimitri Papadimitriou
   3NLab Belgium Reseach Center
   Leuven
   Belgium
   Email: papadimitriou.dimitri.be@gmail.com

   Stenio Fernandes
   Central Bank of Canada
   Canada
   Email: stenio.fernandes@ieee.org

   Stefan Schneider
   Digital Railway (DSD) at Deutsche Bahn
   Germany
   Email: stefanbschneider@outlook.com

François, et al.        Expires 5 September 2024               [Page 41]