论文标题
强大的QOT保证资源分配基于共享的备份路径保护Eons
Robust QoT Assured Resource Allocation in Shared Backup Path Protection Based EONs
论文作者
论文摘要
对于弹性光学网络（EON）而言，生存能力至关重要，因为它们有望携带大量数据。在本文中，我们考虑了设计基于共享的备份路径保护（SBPP）的问题，该问题促进了在任何单个链接/共享风险链接组（SRLG）下，针对物理层损伤（SRLG）下的最低转换质量（QOT）的确保分配，用于静态和动态交通风险。通常，PLI对LightPath的影响会根据链接的失败位置而变化，因为它引入了不同的活动工作和备份路径。为了解决SBPP EON设计中的这些问题，我们为静态流量制定了混合整数线性编程（MILP）的强大优化框架，目的是最大程度地减少整体碎片。在此过程中，我们首次在可生存的Eons中首次使用有效的位载技术进行频谱分配。此外，考虑到较大网络的局限性，我们提出了一种新型的SBPP障碍感（SBPP-IA）算法。为此，我们介绍了一种新颖的分类技术，称为最拥挤的工作至上充血的备份（MCW-LCBF），以对给定的一组静态请求进行排序。接下来，我们使用SBPP-IA算法进行动态流量方案，并根据不同的QOT参数将其与现有算法进行比较。我们通过模拟证明，与现有的研究相比，我们的研究提供了约40％的QOT保证请求。
Survivability is mission-critical for elastic optical networks (EONs) as they are expected to carry an enormous amount of data. In this paper, we consider the problem of designing shared backup path protection (SBPP) based EON that facilitates the minimum quality-of-transmission (QoT) assured allocation against physical layer impairments (PLIs) under any single link/shared risk link group (SRLG) failure for static and dynamic traffic scenarios. In general, the effect of PLIs on lightpath varies based on the location of failure of a link as it introduces different active working and backup paths. To address these issues in the design of SBPP EON, we formulate a mixed integer linear programming (MILP) based robust optimization framework for static traffic with the objective of minimizing overall fragmentation. In this process, we use the efficient bitloading technique for spectrum allocation for the first time in survivable EONs. In addition, we propose a novel SBPP-impairment aware (SBPP-IA) algorithm considering the limitations of MILP for larger networks. For this purpose, we introduce a novel sorting technique named most congested working-least congested backup first (MCW-LCBF) to sort the given set of static requests. Next, we employ our SBPP-IA algorithm for dynamic traffic scenario and compare it with existing algorithms in terms of different QoT parameters. We demonstrated through simulations that our study provides around 40% more QoT guaranteed requests compared to existing ones.
