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Manycast routing, modulation level and spectrum assignment over elastic optical networks

机译：弹性光网络上的多播路由，调制级别和​​频谱分配

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摘要

Manycast is a point to multi-point transmission framework that requires a subset of destination nodes successfully reached. It is particularly applicable for dealing with large amounts of data simultaneously in bandwidth-hungry, dynamic and cloud-based applications. As rapid increasing of traffics in these applications, the elastic optical networks (EONs) may be relied on to achieve high throughput manycast. In terms of finer spectrum granularity, the EONs could reach flexible accessing to network spectrum and efficient providing exact spectrum resource to demands. In this paper, we focus on the manycast routing, modulation level and spectrum assignment (MA-RMLSA) problem in EONs. Both EONs planning with static manycast traffic and EONs provisioning with dynamic manycast traffic are investigated. An integer linear programming (ILP) model is formulated to derive MA-RMLSA problem in static manycast scenario. Then corresponding heuristic algorithm called manycast routing, modulation level and spectrum assignment genetic algorithm (MA-RMLSA-GA) is proposed to adapt for both static and dynamic manycast scenarios. The MA-RMLSA-GA optimizes MA-RMLSA problem in destination nodes selection, routing light-tree constitution, modulation level allocation and spectrum resource assignment jointly, to achieve an effective improvement in network performance. Simulation results reveal that MA-RMLSA strategies offered by MA-RMLSA-GA have slightly disparity from the optimal solutions provided by ILP model in static scenario. Moreover, the results demonstrate that MA-RMLSA-GA realizes a highly efficient MA-RMLSA strategy with the lowest blocking probability in dynamic scenario compared with benchmark algorithms. (C) 2017 Elsevier Inc. All rights reserved.
机译：多播是点对多点传输框架，要求成功到达目标节点的子集。它特别适用于需要大量带宽，动态和基于云的应用程序中同时处理大量数据。随着这些应用中流量的快速增长，可以依靠弹性光网络（EON）来实现高吞吐量的多播。就更精细的频谱粒度而言，EON可以灵活地访问网络频谱，并且可以有效地为需求提供准确的频谱资源。在本文中，我们关注EON中的多播路由，调制级别和​​频谱分配（MA-RMLSA）问题。研究了具有静态多播流量的EON规划和具有动态多播流量的EON供应。建立了整数线性规划（ILP）模型，以推导静态多播场景下的MA-RMLSA问题。然后提出了相应的启发式算法，称为多播路由，调制级和频谱分配遗传算法（MA-RMLSA-GA），以适应静态和动态多播场景。 MA-RMLSA-GA在目的地节点选择，路由光树构成，调制等级分配和频谱资源分配等方面优化了MA-RMLSA问题，从而有效地提高了网络性能。仿真结果表明，MA-RMLSA-GA提供的MA-RMLSA策略与静态场景中ILP模型提供的最优解决方案略有差异。此外，结果表明，与基准算法相比，MA-RMLSA-GA在动态场景中实现了具有最低阻塞概率的高效MA-RMLSA策略。 （C）2017 Elsevier Inc.保留所有权利。

著录项

  • 来源
    《Optical fiber technology》 |2017年第7期|317-326|共10页
  • 作者

    Luo Xiao; Zhao Yang; Chen Xue; Wang Lei; Zhang Min; Zhang Jie; Ji Yuefeng; Wang Huitao; Wang Taili;

  • 作者单位

    Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, POB 128,10 XiTuCheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, POB 128,10 XiTuCheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, POB 128,10 XiTuCheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, POB 128,10 XiTuCheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, POB 128,10 XiTuCheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, POB 128,10 XiTuCheng Rd, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, POB 128,10 XiTuCheng Rd, Beijing 100876, Peoples R China;

    ZTE Corp, Beijing 100191, Peoples R China;

    ZTE Corp, Beijing 100191, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Manycast; Routing, modulation level and spectrum assignment (RMLSA); Integer linear programming (ILP); Elastic optical network (EON);

    机译：组播;路由;调制级别和​​频谱分配（RMLSA）;整数线性规划（ILP）;弹性光网络（EON）;

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