Abstract
This JOCN special issue includes extended versions of selected papers that were presented at the 24th International Conference on Optical Network Design and Modeling (ONDM2020), which took place virtually on May 18–21, 2020. The topics covered by the papers represent clear trends in current optical networking research including filterless optical networks and their applicability in metropolitan scenarios; programmable, software-defined-networking-enabled sliceable bandwidth variable transceivers supporting multi-dimensionality; and two applications of machine learning—the cognitive reconfiguration of data-center networks in support of high-performance computing, and quality of transmission estimation for reduced margins.
Highlights
Vol 13, No 6 / June 2021 / Journal of Optical Communications and Networking ONDM1
This JOCN special issue includes extended versions of selected papers that were presented at the 24th International Conference on Optical Network Design and Modeling (ONDM2020), which took place, virtually, on May 18–21, 2020
The topics covered by the papers in this issue represent clear trends in current research in optical networking including filterless optical networks and their applicability in metropolitan scenarios; programmable, software-defined-networking (SDN)-enabled sliceable bandwidth variable transceivers (SBVTs) supporting multi-dimensionality; and two applications of machine learning (ML)—the cognitive reconfiguration of data-center (DC) networks in support of high-performance computing (HPC), and quality of transmission (QoT) estimation for reduced margins
Summary
Vol 13, No 6 / June 2021 / Journal of Optical Communications and Networking ONDM1. This JOCN special issue includes extended versions of selected papers that were presented at the 24th International Conference on Optical Network Design and Modeling (ONDM2020), which took place, virtually, on May 18–21, 2020. ONDM addressed cutting-edge research in established areas of optical networking and communications and its adoption in support of a wide variety of new services and applications. This includes the most recent trends such as new architectures and photonic technologies for 5G and beyond, data-center networking, cloud/edge computing, data analytics, network telemetry and machine learning. The topics covered by the papers in this issue represent clear trends in current research in optical networking including filterless optical networks and their applicability in metropolitan scenarios; programmable, software-defined-networking (SDN)-enabled sliceable bandwidth variable transceivers (SBVTs) supporting multi-dimensionality; and two applications of machine learning (ML)—the cognitive reconfiguration of data-center (DC) networks in support of high-performance computing (HPC), and quality of transmission (QoT) estimation for reduced margins
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