Multicast Routing and Distance-Adaptive Spectrum Allocation in Elastic Optical Networks With Shared Protection

被引:53
作者
Cai, Anliang [1 ]
Guo, Jun [1 ]
Lin, Rongping [2 ]
Shen, Gangxiang [3 ]
Zukerman, Moshe [1 ]
机构
[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Commun & Informat Engn, Chengdu 611731, Peoples R China
[3] Soochow Univ, Sch Elect & Informat Engn, Suzhou 215006, Peoples R China
基金
中国国家自然科学基金;
关键词
Distance-adaptive transmission; elastic optical network (EON); multicast routing; shared protection; spectrum assignment; WDM NETWORKS; RESOURCE-ALLOCATION; EFFICIENT; DESIGN; OPTIMIZATION; ARCHITECTURE; PERFORMANCE; ASSIGNMENT; SESSIONS; LAYER;
D O I
10.1109/JLT.2016.2592999
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider an elastic all-optical network, where each node is multicast-capable and does not support spectrum conversion. In such a network, for a given set of static multicast demands, we consider distance-adaptive spectrum resource allocation, and aim to optimize multicast routing, modulation, and spectrum assignment with shared protection in a way that minimizes the required spectrum resources for accommodating all multicast sessions. In our design, we provision each multicast demand by a light-tree where spectrum resources are allocated in all links included in the tree. We protect each light-tree from any single link failure in both directions by having a backup path that is link disjoint to the path from the source to each destination on the primary tree. We reserve spectrum resources in the links that are not in the primary tree but in the backup paths between all source-destination pairs. The reserved spectrum resources can be shared to protect multiple light-trees as long as they do not fail simultaneously. For such a problem, we provide a mixed integer linear programming formulation. We also develop a scalable heuristic algorithm with an attribute that enables it to improve the quality of the results at the cost of longer running times. Numerical results for small problems show that the heuristic algorithm performs close to the optimum. In addition, we use a Markov chain simulation of the network to evaluate the performance of our proposed algorithm in terms of blocking probability in a dynamic environment, which demonstrates a significant improvement over straightforward approaches.
引用
收藏
页码:4076 / 4088
页数:13
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