Title: Edge computing enabled services identification algorithm of elastic optical networks

Authors: Lin Liu; Huifeng Bai; Jie Zhang; Chao Huo

Addresses: State Grid Dalian Electric Power Supply Company, Dalian 116011, Liaoning, China ' Beijing SmartChip Microelectronics Technology Company Limited, Haidian, Beijing 102200, China ' State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China ' Beijing SmartChip Microelectronics Technology Company Limited, Haidian, Beijing 102200, China

Abstract: As internet services newly emerge with real-time and fine-granularity QoS demands, great challenges are presented to the Elastic Optical Networks (EON) to satisfy diverted requirements of services. An edge computing enabled services identification scheme of EONs is proposed in this article, where the edge computing model is built and an Edge-Computing Echo-State-Network (EC-ESN) is also presented. This EC-ESN is able to transform the numerical output into the probabilistic one to determine the QoS strategy of EON. Moreover, the implement approach of the proposed service identification scheme is also depicted. Test results show that the edge computing enabled service identification algorithm can greatly enhance the matching degree between services and EON.

Keywords: edge computing; echo-state-network; services identification; elastic optical network.

DOI: 10.1504/IJWMC.2021.114137

International Journal of Wireless and Mobile Computing, 2021 Vol.20 No.2, pp.146 - 152

Received: 28 Sep 2020
Accepted: 12 Nov 2020
Published online: 09 Apr 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article