On the advantages of elastic optical networks for provisioning of cloud computing traffic
M Klinkowski, K Walkowiak - IEEE Network, 2013 - ieeexplore.ieee.org
This article provides motivation for the elastic optical network (EON) approach, an efficient
and cost-effective solution for provisioning of cloud computing traffic. As opposed to …
and cost-effective solution for provisioning of cloud computing traffic. As opposed to …
Adapting transmitter power and modulation format to improve optical network performance utilizing the Gaussian noise model of nonlinear impairments
This paper serves to highlight the gains in SNR margin and/or data capacity that can be
achieved through a proper optimization of the transceiver parameters, for example, launch …
achieved through a proper optimization of the transceiver parameters, for example, launch …
Routing and spectrum assignment integrating machine-learning-based QoT estimation in elastic optical networks
M Salani, C Rottondi… - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
Machine Learning (ML) is under intense investigation in optical networks as it promises to
lead to automation of a variety of management tasks, as amplifier gain equalization, fault …
lead to automation of a variety of management tasks, as amplifier gain equalization, fault …
Solving routing and spectrum allocation related optimization problems: From off-line to in-operation flexgrid network planning
Compared to wavelength switched optical networks (WSON), flexgrid optical networks
provide higher spectrum efficiency and flexibility. To properly analyze, design, plan, and …
provide higher spectrum efficiency and flexibility. To properly analyze, design, plan, and …
Heuristic reward design for deep reinforcement learning-based routing, modulation and spectrum assignment of elastic optical networks
B Tang, YC Huang, Y Xue… - IEEE Communications …, 2022 - ieeexplore.ieee.org
In this letter, we study the deep reinforcement learning (DRL)-based routing, modulation and
spectrum assignment problem in the elastic optical networks. We emphasize the importance …
spectrum assignment problem in the elastic optical networks. We emphasize the importance …
Dynamic routing, spectrum, and modulation-format allocation in mixed-grid optical networks
Traffic in optical backbone networks is evolving rapidly in terms of type, volume, and
dynamicity following the rapid growth of cloud-based services, ongoing adoption of 5G …
dynamicity following the rapid growth of cloud-based services, ongoing adoption of 5G …
[图书][B] Network Innovation through OpenFlow and SDN
F Hu - 2014 - api.taylorfrancis.com
Software-defined network (SDN)/OpenFlow research and development have attracted the
attention of many researchers and companies. The key idea of an SDN is to split the network …
attention of many researchers and companies. The key idea of an SDN is to split the network …
Multi-task deep neural network (MT-DNN) enabled optical performance monitoring from directly detected PDM-QAM signals
We experimentally demonstrate a multi-task deep neutral network (MT-DNN) enabled
optical performance monitoring (OPM) for PDM-QPSK/8QAM/16QAM signals, by using the …
optical performance monitoring (OPM) for PDM-QPSK/8QAM/16QAM signals, by using the …
SDN-enabled sliceable BVT based on multicarrier technology for multiflow rate/distance and grid adaptation
We propose a sliceable bandwidth variable transceiver (S-BVT) architecture suitable for
metro/regional elastic networks and highly scalable data center applications. It adopts …
metro/regional elastic networks and highly scalable data center applications. It adopts …
Broadband polarization-entangled source for C+ L-band flex-grid quantum networks
The rising demand for transmission capacity in optical networks has motivated steady
interest in expansion beyond the standard C-band (1530–1565 nm) into the adjacent L …
interest in expansion beyond the standard C-band (1530–1565 nm) into the adjacent L …