A Service-Based Intelligent Time-Domain and Spectral-Domain Flow Aggregation in IP-over-EON Based on SDON

Release Date:2019-11-01  Author:ZTE  Click:

A Service-Based Intelligent Time-Domain and Spectral-Domain Flow Aggregation in IP-over-EON Based on SDON

NI Dong1, LI Hui1, JI Yuefeng1, LI Hongbiao2, and ZHU Yinan2
(1. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. Wireline Product Operation Division, ZTE Corporation, Shenzhen, Guangdong 518057, China)

Abstract:The rapid growth of IP traffic has contributed to wide deployment of optical devices in elastic optical network. However, the passband shape of wavelength-selective-switches (WSSs) which are used in reconfigurable optical add-drop multiplexer (ROADM)/optical cross connect (OXC) is not ideal, causing the narrowing of spectrum. Spectral narrowing will lead to signal impairment. Therefore, guard-bands need to be inserted between adjacent paths which will cause the waste of resources. In this paper, we propose a service-based intelligent aggregation node selection and area division (ANS-AD) algorithm. For the rationality of the aggregation node selection, the ANS-AD algorithm chooses the aggregation nodes according to historical traffic information based on big data analysis. Then the ANS-AD algorithm divides the topology into areas according to the result of the aggregation node selection. Based on the ANS-AD algorithm, we propose a time-domain and spectral-domain flow aggregation (TS-FA) algorithm. For the purpose of reducing resources’ waste, the TS-FA algorithm attempts to reduce the insertion of guard-bands by time-domain and spectral-domain flow aggregation. Moreover, we design a time-domain and spectral-domain flow aggregation module on software defined optical network (SDON) architecture. Finally, a simulation is designed to evaluate the performance of the proposed algorithms and the results show that our proposed algorithms can effectively reduce the resource waste.
Keywords:IP-over-EON; time-domain; spectral-domain; flow aggregation; big data analysis; SDON

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