概括
本研究引入了一种新的适应性故障管理方法,用于细粒度光传输网络 (fgOTN). 它大大降低了网络恢复期间受影响服务的可能性,提高了整体网络弹性和服务质量.
科学领域:
- 电信工程 电信工程 电信工程
- 网络管理 网络管理
- 光学网络 光学网络
背景情况:
- 由于资源限制和不同的服务要求,网络故障管理在并发服务恢复方面面临挑战.
- 目前的方法很难保证不同服务的差异化服务水平协议 (SLA).
- 细粒度光传输网络 (fgOTN) 提供了具有细粒度带宽控制和快速调整的潜在解决方案.
研究的目的:
- 为fgOTN.提出一种适应性,服务意识的故障管理方法.
- 提高网络弹性,并在故障条件下保证差异化的服务协议协议.
- 尽量减少网络故障对服务传输质量的影响.
主要方法:
- 开发了一种基于带宽压缩 (HPRBC) 的混合保护和恢复机制.
- 引入了自适应恢复序列算法 (ARSA) 以优化恢复顺序.
- 利用模拟来评估与现有方法对比拟的机制.
主要成果:
- 与端到端服务恢复 (E2ESR) 相比,拟议的HPRBC和ARSA机制将故障影响服务的概率降低了40%.
- 与混合保护和恢复 (HPR) 机制相比,它实现了46.1%的故障影响服务减少.
- 基于HPRBC的ARSA显示,受保护服务恢复成功概率比5000个服务的基线高10.2%.
结论:
- 基于带宽压缩的自适应性服务意识故障管理方法有效地解决了网络故障恢复方面的挑战.
- fgOTN技术与HPRBC和ARSA相结合,显著提高了网络可靠性和服务连续性.
- 拟议的方法对于未来的网络至关重要,这些网络需要有保障的差异化服务协议和强大的故障管理.
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