智能电网的10G-EPON中基于贝叶斯分类的业务感知机制(英文)

Bayesian Classifier Based Service-aware Mechanism in 10G-EPON for Smart Power Grid

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 emerging of multiple services brought by smart power grid, the rapid evolution of 10G-EPON （10 Gigabit Ethernet Passive Optical Network） provides great access for multiple services with high capacity. However, newly emerging multiple services have diversified characteristics and demands, which presents great problems for current 10G-EPON to match these services with high quality and matching degree. To satisfy requirements of diversified types of services in power electirc system, services charactrisetcs and demands of smart power grid are discussed, and a Bayesian Classifier based Service Awareness （BC-SA） mechanism of 10G-EPON is proposed for smart power grid. According to the ＂master-slave＂ architecture between OLT （Optical Line Terminal） and ONUs （Optical network Units） in 10G-EPON, a similar ＂master slave＂ structure is adopted and designed in the proposed BS-SA mechanism. By using Bayesian classifier, the BC-SA mechanism is able to be aware of the type of service. On the basis of Bayesian classification, resources allocation and transport policy are both determined by the proposed mechanism throught cooperation between OLT and ONUs. In order to verify the reasonability of this BC-SA, system simulation is conducted in domains of delay and packet-loss-rate. Simulation results show that the BC-SA is able to achieve greatly better performance of both delay and packet-loss-rate, and improve the supporting ability ~or data services o{ smart power grid with better matching degree.