Craig Gutterman

Orcid: 0000-0002-0586-1630

According to our database1, Craig Gutterman authored at least 27 papers between 2013 and 2022.

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Bibliography

2022
A Software-Defined Programmable Testbed for Beyond 5G Optical-Wireless Experimentation at City-Scale.
IEEE Netw., 2022

2021
Learning for Network Applications and Control.
PhD thesis, 2021

Machine-learning-based EDFA gain estimation [Invited].
JOCN, 2021

2020
Requet: Real-Time QoE Metric Detection for Encrypted YouTube Traffic.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Hybrid Machine Learning EDFA Model.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Dual Use SDN Controller for Management and Experimentation in a Field Deployed Testbed.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Experiments on Cloud-RAN Wireless Handover using Optical Switching in a Dense Urban Testbed.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Challenge: COSMOS: A city-scale programmable testbed for experimentation with advanced wireless.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Stallion: video adaptation algorithm for low-latency video streaming.
Proceedings of the 11th ACM Multimedia Systems Conference, 2020

2019
DyMo: Dynamic Monitoring of Large-Scale LTE-Multicast Systems.
IEEE/ACM Trans. Netw., 2019

COSMOS: Optical Architecture and Prototyping.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

RAN Resource Usage Prediction for a 5G Slice Broker.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Requet: real-time QoE detection for encrypted YouTube traffic.
Proceedings of the 10th ACM Multimedia Systems Conference, 2019

Programmable Optical x-Haul Network in the COSMOS Testbed.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

2018
Experimental Evaluation of Large Scale WiFi Multicast Rate Control.
IEEE Trans. Wirel. Commun., 2018

Deep-Neural-Network-Based Wavelength Selection and Switching in ROADM Systems.
JOCN, 2018

Deep Neural Network Based Dynamic Resource Reallocation of BBU Pools in 5G C-RAN ROADM Networks.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Machine Learning Based Prediction of Erbium-Doped Fiber WDM Line Amplifier Gain Spectra.
Proceedings of the European Conference on Optical Communication, 2018

2017
Neural Network Based Wavelength Assignment in Optical Switching.
Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2017

Demo abstract: Evaluating video delivery over wireless multicast.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

DyMo: Dynamic monitoring of large scale LTE-Multicast systems.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016
Light-Weight Feedback Mechanism for WiFi Multicast to Very Large Groups - Experimental Evaluation.
IEEE/ACM Trans. Netw., 2016

AMuSe: Large-scale WiFi video distribution - experimentation on the ORBIT testbed.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

AMuSe: Adaptive Multicast Services to Very Large Groups - Project Overview.
Proceedings of the 25th International Conference on Computer Communication and Networks, 2016

2014
Experimental Evaluation of a Scalable WiFi Multicast Scheme in the ORBIT Testbed.
Proceedings of the 2014 Third GENI Research and Educational Experiment Workshop, 2014

2013
Cognitive radio kit framework: experimental platform for dynamic spectrum research.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2013

Scalable WiFi multicast services for very large groups.
Proceedings of the 2013 21st IEEE International Conference on Network Protocols, 2013


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