Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks

被引:1
|
作者
Lin, Sen [1 ]
Shi, Ming [1 ]
Arora, Anish [1 ]
Rassily, Raef [1 ]
Bertino, Elisa [2 ]
Caramanis, Constantine [3 ]
Chowdhury, Kaushik [4 ]
Ekici, Eylem [1 ]
Eryilmaz, Atilla [1 ]
Ioannidis, Stratis [4 ]
Jiang, Nan [5 ]
Joshi, Gauri [6 ]
Kurose, Jim [7 ]
Liang, Yingbin [1 ]
Lin, Zhigiang [1 ]
Liu, Jia [1 ]
Liu, Mingyan [8 ]
Melodia, Tommaso [4 ]
Mokhtari, Aryan [3 ]
Nowak, Rob [9 ]
Oh, Sewoong [10 ]
Parthasarathy, Srini [1 ]
Peng, Chunyi [2 ]
Seferoglu, Hulya [11 ]
Shroff, Ness [1 ]
Shakkottai, Sanjay [3 ]
Srinivasan, Kannan [1 ]
Talwalkar, Ameet [6 ]
Yener, Aylin [1 ]
Ying, Lei
机构
[1] Ohio State Univ, Columbus, OH 43210 USA
[2] Purdue Univ, W Lafayette, IN 47907 USA
[3] Univ Texas Austin, Austin, TX USA
[4] Northeastern Univ, Boston, MA USA
[5] Univ Illinois, Urbana, IL USA
[6] Carnegie Mellon Univ, Pittsburgh, PA USA
[7] Univ Massachusetts, Amherst, MA USA
[8] Univ Michigan, Ann Arbor, MI USA
[9] Univ Wisconsin, Madison, WI USA
[10] Univ Washington, Seattle, WA USA
[11] Univ Illinois, Chicago, IL USA
基金
美国国家科学基金会;
关键词
NOISE;
D O I
10.1109/CIC56439.2022.00013
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Networking and Artificial Intelligence (AI) are two of the most transformative information technologies over the last few decades. Building upon the synergies of these two powerful technologies, we envision designing next generation of edge networks to be highly efficient, reliable, robust and secure. To this end, in this paper, we delve into interesting and fundamental research challenges and opportunities that span two major broad and symbiotic areas: AI for Networks and Networks for AI. The former deals with the development of new AI tools and techniques that can enable the next generation AI-assisted networks; while the latter focuses on developing networking techniques and tools that will facilitate the vision of distributed intelligence, resulting in a virtuous research cycle where advances in one will help accelerate advances in the other. A wide range of applications will be further discussed to illustrate the importance of the foundational advances developed in these two areas.
引用
收藏
页码:16 / 25
页数:10
相关论文
共 50 条
  • [31] Next-Generation Networking and Edge Computing for Mixed Reality Real-Time Interactive Systems
    Shannigrahi, Susmit
    Mastorakis, Spyridon
    Ortega, Francisco R.
    2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2020,
  • [32] Next Generation Healthcare with Explainable AI: IoMT-Edge-Cloud based Advanced eHealth
    Dutta, Joy
    Puthal, Deepak
    Yeun, Chan Yeob
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 7327 - 7332
  • [33] Intelligent Service Deployment Policy for Next-Generation Industrial Edge Networks
    Hazra, Abhishek
    Adhikari, Mainak
    Amgoth, Tarachand
    Srirama, Satish Narayana
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 9 (05): : 3057 - 3066
  • [34] Access network and edge node systems for next-generation computer networks
    Hara, H
    Kukutsu, N
    Hayashi, K
    Toyoshima, K
    Ichikawa, H
    Ito, T
    Maeda, Y
    Tsutsumi, S
    NTT REVIEW, 1998, 10 (04): : 110 - 120
  • [35] Edge Intelligence in Private Mobile Networks for Next-Generation Railway Systems
    Asad, Syed Muhammad
    Tahir, Ahsen
    Rais, Rao Naveed Bin
    Ansari, Shuja
    Abubakar, Attai Ibrahim
    Hussain, Sajjad
    Abbasi, Qammer H.
    Imran, Muhammad Ali
    FRONTIERS IN COMMUNICATIONS AND NETWORKS, 2021, 2
  • [36] A Real-Time Software Defined Networking Framework for Next-Generation Industrial Networks
    Moutinho, Luis
    Pedreiras, Paulo
    Almeida, Luis
    IEEE ACCESS, 2019, 7 : 164468 - 164479
  • [37] AI-Driven UAV-NOMA-MEC in Next Generation Wireless Networks
    Yang, Zhong
    Chen, Mingzhe
    Liu, Xiao
    Liu, Yuanwei
    Chen, Yue
    Cui, Shuguang
    Poor, H. Vincent
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (05) : 66 - 73
  • [38] Physics-Inspired Mobile Cloudlet Placement in Next-Generation Edge Networks
    Bhatta, Dixit
    Mashayekhy, Lena
    2022 IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING & COMMUNICATIONS (IEEE EDGE 2022), 2022, : 159 - 168
  • [39] Federated-Learning-Aided Next-Generation Edge Networks for Intelligent Services
    Hazra, Abhishek
    Adhikari, Mainak
    Nandy, Sudarshan
    Doulani, Khushbu
    Menon, Varun G.
    IEEE NETWORK, 2022, 36 (03): : 56 - 64
  • [40] Next-generation passive optical networks: Leveraging the future-proof broadband access platform
    Duthilleul, F
    JOURNAL OF THE COMMUNICATIONS NETWORK, 2002, 1 : 131 - 135