@article{xiong_yang_ye_rouskas_2019, title={A machine learning approach to mitigating fragmentation and crosstalk in space division multiplexing elastic optical networks}, volume={50}, ISSN={["1095-9912"]}, DOI={10.1016/j.yofte.2019.03.001}, abstractNote={As network traffic is expected to continue to grow at high rates for the foreseeable future, it becomes imperative to introduce space division multiplexing elastic optical networks (SDM-EONs) into the optical transport network. However, spectrum fragmentation and crosstalk present significant challenges that may negatively impact the performance of SDM-EONs. In this paper, we leverage machine learning techniques to enhance the transmission performance of SDM-EONs, and make two contributions. Specifically, we use an Elman neural network to forecast traffic demands, and use a two-dimensional rectangular packing model to allocate spectrum so as to decrease unnecessary spectrum fragmentation (and, in turn, increase resource utilization). We also present a novel spectrum partition scheme to reduce crosstalk. Our evaluation study confirms that the proposed strategy is effective in improving spectrum utilization while reducing blocking probability and crosstalk.}, journal={OPTICAL FIBER TECHNOLOGY}, author={Xiong, Yu and Yang, Yaya and Ye, Yulong and Rouskas, George N.}, year={2019}, month={Jul}, pages={99–107} }
 @inproceedings{xiong_li_dong_gao_rouskas_2016, title={Exploiting SDN principles for extremely fast restoration in elastic optical datacenter Networks}, DOI={10.1109/glocom.2016.7841831}, abstractNote={In order to find out the tradeoff between recovery time and resource overhead when a link failure occurs, we propose a software-defined based fast restoration scheme for elastic optical datacenter networks, called precomputation based restoration path (P-RP). By extending the controller functionality and OpenFlow protocol in software defined networking (SDN) technology, we establish a novel elastic optical inter-datacenter network architecture which can quickly and accurately converge the network state information with a global view for failure recovery. Based on this architecture, the P-RP performs path computation and bandwidth resource selection for restoration before a failure occurs. The experimental results demonstrate that the proposed scheme can achieve fast recovery with low blocking probability while maintaining high spectrum efficiency. Compared with existing restoration schemes, average recovery time is improved by up to 28%.}, booktitle={2016 ieee global communications conference (globecom)}, author={Xiong, Y. and Li, Y. Y. and Dong, X. C. and Gao, Y. P. and Rouskas, George}, year={2016} }