一个适应的应用程序意识的动态负载平衡框架,用于开源SD-WAN
Teodor Petrović1, Aleksa Vidaković1, Ilija Doknić2
1Faculty of Informatics and Computing, Singidunum University, 11000 Belgrade, Serbia.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
本研究介绍了软件定义广域网 (SD-WAN) 的应用意识动态负载平衡 (AADLB) 框架. AADLB通过根据应用需求和实时条件动态调整流量分配来提高网络性能和稳定性.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 分布式系统 分布式系统
背景情况:
- 传统的软件定义广域网 (SD-WAN) 由于缺乏自适应负载平衡,导致流量分配效率低下.
- 这导致延迟时间增加,性能下降,资源利用率低于最佳.
研究的目的:
- 为开源SD-WAN环境提供一个应用程序意识的动态负载平衡 (AADLB) 框架.
- 实现动态流量路由,同时考虑实时网络性能和特定应用程序的要求.
主要方法:
- 为SD-WAN开发了一个AADLB框架.
- 实现了基于启发式的动态权重分配算法,用于在多云环境中重新分配流量.
- 将AADLB与传统负载平衡算法 (WRR,WFQ,PQ,DRR) 进行比较.
主要成果:
- 通过AADLB,CPU利用率提高了8.40%,CPU稳定性提高了76.66%.
- 存储器使用稳定性增加了6.97%,平均延迟减少了2.58%,延迟一致性提高了16.74%.
- 该框架有效地缓解了拥堵,提高了系统的响应能力.
结论:
- 与传统方法相比,AADLB框架在网络性能和稳定性方面提供了显著的改善.
- 针对应用程序的动态负载平衡增强了SD-WAN的可扩展性,优化了带宽,并降低了运营成本.
- AADLB为专有SD-WAN解决方案提供了一个具有成本效益和可扩展性的替代方案.
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