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author:

Lin, X. (Lin, X..) [1] (Scholars:林霄) | Lin, H. (Lin, H..) [2] | Zhang, C. (Zhang, C..) [3] | Li, J. (Li, J..) [4] | Shi, K. (Shi, K..) [5] | Sun, W. (Sun, W..) [6] | Hu, W. (Hu, W..) [7]

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EI Scopus

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:

Artificial neural network bulk data transfer computing power network multi-path routing optical network store-and-forward

Community:

  • [ 1 ] [Lin X.]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 2 ] [Lin H.]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 3 ] [Zhang C.]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 4 ] [Li J.]Soochow University, School of Electronic and Information Engineering, Suzhou, China
  • [ 5 ] [Shi K.]Soochow University, School of Electronic and Information Engineering, Suzhou, China
  • [ 6 ] [Sun W.]Shanghai Jiao Tong University, State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai, China
  • [ 7 ] [Hu W.]Soochow University, School of Electronic and Information Engineering, Suzhou, China

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Year: 2023

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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