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author:

Lin, Xiao (Lin, Xiao.) [1] | Lin, Huihuang (Lin, Huihuang.) [2] | Zhang, Chenxi (Zhang, Chenxi.) [3] | Li, Jun (Li, Jun.) [4] | Shi, Keqin (Shi, Keqin.) [5] | Sun, Weiqiang (Sun, Weiqiang.) [6] | Hu, Weisheng (Hu, Weisheng.) [7]

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EI

Abstract:

ANN-assisted scheduling method is presented to schedule bulk transfers across optical computing power networks in a single-path/SnF-multi-path manner. Studies demonstrate that the method outperforms the conventional methods in terms of blocking probability and computation time. © 2023 IEEE.

Keyword:

Blocking probability Computing power Data transfer Fiber optic networks Neural networks

Community:

  • [ 1 ] [Lin, Xiao]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 2 ] [Lin, Huihuang]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 3 ] [Zhang, Chenxi]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 4 ] [Li, Jun]Soochow University, School of Electronic and Information Engineering, Suzhou, China
  • [ 5 ] [Shi, Keqin]Soochow University, School of Electronic and Information Engineering, Suzhou, China
  • [ 6 ] [Sun, Weiqiang]Shanghai Jiao Tong University, State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai, China
  • [ 7 ] [Hu, Weisheng]Soochow University, School of Electronic and Information Engineering, Suzhou, China

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Year: 2023

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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