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author：

Lin, Xiao (Lin, Xiao.) [1] (Scholars：林霄) | Lin, Zhihui (Lin, Zhihui.) [2] | Li, Yaping (Li, Yaping.) [3] | Cheng, Huimin (Cheng, Huimin.) [4] | Wang, Shaohao (Wang, Shaohao.) [5] (Scholars：王少昊)

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EI

Abstract：

We　use　ANN　models　to　estimate　the　performance　of　latency-critical　and　delay-tolerant　tasks　when　applying　edge　cooperation　in　EC-enabled　EONs.　Using　the　performance　estimation,　a　resource　allocation　scheme　is　proposed　to　jointly　optimize　multiple　performance.　©　2021　IEEE.

Keyword：

Edge computing Fiber optic networks Neural networks Resource allocation

Community：

  • [ 1 ] [Lin, Xiao]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lin, Zhihui]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Li, Yaping]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Cheng, Huimin]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Wang, Shaohao]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

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Year： 2021

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

Affiliated Colleges：

物理与信息工程学院、微电子学院 本学院/部未明确归属的数据

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