We propose a data-driven technique for autonomous management of N×N photonic switching systems in a software-defined networking setup. This work aims to demonstrate the C+L multi-band switching system and proposes a softwarized model for control
Silicon photonics based switches offer an effective option for the delivery of dynamic bandwidth for...
To flexibly accommodate diverse cloud workloads and AI applications, a novel disaggregated DCN archi...
The massive deployment of 5G and beyond will require high capacity and low latency connectivity serv...
We propose a data-driven approach based on Machine Learning (ML) to predict control signals of a pho...
We propose a machine learning-based approach for the management of photonic switching systems ...
We propose a machine learning based approach to predict control signals for a photonic switching sys...
Optical networking is fast evolving towards the applications of the Software-defined Networking (SDN...
The emerging Software Defined Networking (SDN) paradigm paves the way for flexible and automatized m...
Recent years have seen an unprecedented growth of data traffic driven by a continuous increase of co...
We propose a neural network-based automatic management system for N×N optical switch in the context ...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Optical networks generate a vast amount of diagnostic, control and performance monitoring data. When...
© [2019 Optical Society of America]. Users may use, reuse, and build upon the article, or use the ar...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
Silicon photonics based switches offer an effective option for the delivery of dynamic bandwidth for...
To flexibly accommodate diverse cloud workloads and AI applications, a novel disaggregated DCN archi...
The massive deployment of 5G and beyond will require high capacity and low latency connectivity serv...
We propose a data-driven approach based on Machine Learning (ML) to predict control signals of a pho...
We propose a machine learning-based approach for the management of photonic switching systems ...
We propose a machine learning based approach to predict control signals for a photonic switching sys...
Optical networking is fast evolving towards the applications of the Software-defined Networking (SDN...
The emerging Software Defined Networking (SDN) paradigm paves the way for flexible and automatized m...
Recent years have seen an unprecedented growth of data traffic driven by a continuous increase of co...
We propose a neural network-based automatic management system for N×N optical switch in the context ...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Optical networks generate a vast amount of diagnostic, control and performance monitoring data. When...
© [2019 Optical Society of America]. Users may use, reuse, and build upon the article, or use the ar...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
Silicon photonics based switches offer an effective option for the delivery of dynamic bandwidth for...
To flexibly accommodate diverse cloud workloads and AI applications, a novel disaggregated DCN archi...
The massive deployment of 5G and beyond will require high capacity and low latency connectivity serv...
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