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随着智能电网的发展及其多种信息业务的涌现,10G-EPON作为业务接入技术日益成为重要支撑;然而业务的多元化对10G-EPON的多业务支撑能力提出了重要挑战.为了适应电力系统中多种不同类型业务的需求,本文对智能电网的信息业务特性进行分析,提出了一种基于贝叶斯分类的10G-EPON业务感知机制;并且根据10G-EPON中OLT与ONU的主从式网络架构特点,提出了业务感知的主从式实现方式.该机制使用贝叶斯网络分析数据包的特征,进而确认待传送业务的类型.在贝叶斯业务分类的基础上,通过OLT和ONU之间的交互决定业务的资源分配和传输策略.为了验证新机制的有效性,分别从时延和丢包率两方面进行系统仿真.仿真结果表明,所提出的基于贝叶斯分类的业务感知机制在时延和丢包率具有显著的优势,能够实现业务与10G-EPON的高效匹配,提高10G-EPON在智能电网应用中多业务的区分支持能力.
With the development of smart grid and the emergence of a variety of information services, 10G-EPON has increasingly become an important support as a service access technology; however, the diversification of services poses an important challenge to the multi-service support capability of 10G-EPON. Based on the Bayesian classification of 10G-EPON business perception mechanism; and based on 10G-EPON OLT and ONU master-slave Based on the characteristics of network architecture, a service-aware master-slave implementation is proposed, which uses Bayesian network to analyze the characteristics of data packets and then confirm the types of services to be transmitted. Based on the Bayesian classification, The interaction between ONUs determines the resource allocation and transmission strategy of the service.In order to verify the effectiveness of the new mechanism, the system simulation is conducted respectively from the aspects of delay and packet loss rate.The simulation results show that the proposed service based on Bayesian classification The perceptual mechanism has significant advantages in terms of delay and packet loss rate, and can effectively match the service with 10G-EPON and improve the differentiation of multi-services of 10G-EPON in smart grid applications Holding capacity.