Edge computing enabled services identification algorithm of elastic optical networks Online publication date: Fri, 09-Apr-2021
by Lin Liu; Huifeng Bai; Jie Zhang; Chao Huo
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 20, No. 2, 2021
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.
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