A planning method of grouping ONUs based on load balancing

Wenchen He, Siya Xu, F. Qi, Shuyang Li, Botao Yu, Kang Sun
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Abstract

Aiming at the characteristics of large scale, huge load and different service requirements of the ethernet passive optical network (EPON), a new networking strategy, grouping management of optical network units (ONU), is proposed. In this paper, we first consider the economy, network delay and load balance, and establish the cost model, the load balance model and the network delay model. Secondly, we plan the number and location of access points (AP) and the method of grouping ONUs, and use the genetic simulated annealing algorithm to obtain the optimal grouping scheme of ONUs. Finally, the simulation results demonstrate that the ONUs grouping method proposed in this paper can achieve the optimal cost of network construction, at the same time the method also can meet the requirements of network delay and load balance.
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一种基于负载均衡的onu分组规划方法
针对以太网无源光网络(EPON)规模大、负载大、业务需求多的特点,提出了一种新的组网策略——光网络单元分组管理(ONU)。本文首先从经济性、网络时延和负载均衡三个方面考虑,建立了成本模型、负载均衡模型和网络时延模型。其次,规划接入点(AP)的数量和位置以及onu的分组方法,并利用遗传模拟退火算法得到最优的onu分组方案;最后,仿真结果表明,本文提出的onu分组方法可以实现网络建设成本的最优,同时该方法还可以满足网络时延和负载均衡的要求。
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