HUO Chao,BAI Huifeng,YIN Zhibin,YAN Bo.Naive-LSTM based services awareness of edge computing elastic optical networks[J].Optoelectronics Letters,2023,(5):279-283 Naive-LSTM based services awareness of edge computing elastic optical networks Author Name Affiliation HUO Chao  Beijing SmartChip Microelectronics Technology Company Limited, Beijing 102200, China  BAI Huifeng  Beijing SmartChip Microelectronics Technology Company Limited, Beijing 102200, China  YIN Zhibin  Beijing SmartChip Microelectronics Technology Company Limited, Beijing 102200, China  YAN Bo  Huakeyinnuo Tianjin Energy Technology Co., Ltd., Tianjin 300143, China[*? This work has been supported by the National Key Research and Development Program of China  Abstract:       Great challenges and demands are presented by increasing edge computing services for current elastic optical networks (EONs) to deal with serious diversity and complexity of these services. To improve the match degree between edge computing and optical network, the services awareness function is necessary for EON. This article proposes a Naive long short-term memory (Naive-LSTM) based services awareness strategy of the EON, where the Naive-LSTM model makes full use of the most simplified structure and conducts discretization of the LSTM model. Moreover, the proposed algorithm can generate the probability output result to determine the quality of service (QoS) policy of EONs. After well learning operation, these Naive-LSTM classification agents in edge nodes of EONs are able to perform services awareness by obtaining data traffic characteristics from services traffics. Test results show that the proposed approach is feasible and efficient to improve edge computing ability of EONs. Hits: 170 Download times: 0 View Full Text    Download reader