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A Cross-layer Traffic Grooming Algorithm in Joint Optimization of the IP over Elastic Optical Network

  • Jijun Zhao , Yuehuan Xu , Danping Ren EMAIL logo and Jinhua Hu
Published/Copyright: December 1, 2017
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Abstract

To fully utilize the existing optical network resource, the dynamic traffic grooming technology, which could efficiently multiplex many low-speed services arriving dynamically onto high-capacity optical channels, has been studied extensively and used widely. In this article, the problem of dynamic traffic grooming in joint optimization of IP over elastic optical network (EON) is studied. This problem consists of three sub-problems at two layers: the routing problem at the IP-layer (IPR), the routing, modulation level (RML), and the spectrum allocation (SA) problems at the optical layers. We proposed a novel topology-integration and adaptive-modulation based in cross-layer routing spectrum allocation (CL-RSA) algorithm, which follows a multi-cost approach that solves the IPR, the RML, and the SA problems jointly. The most important features of the proposed algorithm are merging physical topology with virtual topology and using the minimum-weight preferred method for route selection. Meanwhile, the effect of physical-layer impairments (PLI) on signal transmission is considered. In addition, the adaptive modulation scheme is used to allocate the spectrum resource. The simulation results show that the algorithm can effectively improve the spectrum resource utilization and reduce the network blocking probability compared to other algorithms in various network conditions, especially in the high load condition effectively.

Funding statement: This work was supported by the Natural Science Foundation of Hebei Province (NO. F2017402068), Scientific Research Projects of the Department of Education of Hebei Province (NO. QN2016090, QN2016142, QN2015046) and Open Project Program of Hebei Engineering Technology Research Center for IOT Data Acquisition & Processing.

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Received: 2017-08-20
Accepted: 2017-11-09
Published Online: 2017-12-01
Published in Print: 2019-12-18

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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