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.
翻译:对弹性光学网络(EONs)来说,生存是任务的关键,因为预计它们将携带大量数据。在本文件中,我们考虑了设计基于 EON 的共享备份路径保护(SBPP)问题,以设计基于 EON 的共享备份路径保护(SBPP) 问题,这有利于在任何单一链接/共享风险链接组(SRLG)下针对静态和动态交通情况对物理层损伤(PLIs)进行最低质量的可靠分配。一般来说,由于链接引入了不同的积极工作路径和备份路径,因此,PLIs对灯光路的影响各不相同。为了解决这些问题,我们在设计SBPP EON时,我们制定了一个基于静态交通的稳健优化框架(MILP),目的是最大限度地减少整体破碎。在这个过程中,我们首次在可生存的 EONs使用高效的频谱分配浸泡技术。此外,我们提出了一个新的SBPP-imament(SBP-IA) 算法(SBPPP-IP-ILP-ILC) 对现有更大网络的局限性。为此,我们首先将新的排序技术用于S-C-C-C-CFFIG-CFFPS-C 设置的升级。我们现有的变压缩定的变动方案。