基于EON的组播业务负载均衡算法研究

Yajun Liu, Xiaoqun Liu, Jianfang Zhang, Yingying Cao, Xiaodong Liu
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引用次数: 2

摘要

传统波分复用(WDM)网络的频谱网格是固定的,存在频谱利用率低、灵活性差的缺点。基于此,弹性光网络(EON)应运而生。与传统的WDM网络相比,EON具有灵活的频谱网格,具有较高的网络灵活性,可以为不同的业务提供不同的频谱。但是EON仍然存在负载平衡的问题。为了进一步优化EON,本文采用最小连接算法来解决EON的负载均衡问题,考虑不同服务器的负载能力对其进行改进。此外,为了进一步提高EON的性能,本文将遗传算法、改进最小连接算法和蚁群算法相结合,提出了一种新的算法LC-GAACO。仿真结果表明,在考虑负载均衡的情况下,LC-GAACO算法会消耗更多的光模块,但在网络负载均衡效果、网络频谱利用率和阻塞率方面都优于传统算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Load Balancing Algorithm of Multicast Services Based on EON
The spectrum grid of the traditional wavelength division multiplexing (WDM) network is fixed, so it has the shortcomings of low spectrum utilization and poor flexibility. Based on this, elastic optical network (EON) came into being. Compared with the traditional WDM network, the EON has a flexible spectrum grid with high network flexibility and can provide different spectrums for different services. But the EON still has the problem of load balancing. In order to further optimize the EON, this article uses the Least Connections algorithm to solve the EON load balancing problem, taking into account the different server load capacity to improve it. In addition, to further improve the performance of EON, this paper combines genetic algorithm, improved least connections algorithm and ant colony algorithm to propose a new algorithm LC-GAACO. The simulation results show that the LC-GAACO algorithm will consume more optical transceivers while taking into account load balancing, but the network load balancing effect, network spectrum utilization, and blocking rate are better than traditional algorithms.
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