Craig Gutterman
Craig Gutterman
Ph.D. Candidate, Columbia University
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Challenge: COSMOS: A city-scale programmable testbed for experimentation with advanced wireless
D Raychaudhuri, I Seskar, G Zussman, T Korakis, D Kilper, T Chen, ...
Proceedings of the 26th annual international conference on mobile computing …, 2020
Requet: Real-time qoe detection for encrypted youtube traffic
C Gutterman, K Guo, S Arora, X Wang, L Wu, E Katz-Bassett, G Zussman
Proceedings of the 10th ACM Multimedia Systems Conference, 48-59, 2019
RAN resource usage prediction for a 5G slice broker
C Gutterman, E Grinshpun, S Sharma, G Zussman
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019
Machine learning based prediction of erbium-doped fiber WDM line amplifier gain spectra
S Zhu, CL Gutterman, W Mo, Y Li, G Zussman, DC Kilper
2018 European Conference on Optical Communication (ECOC), 1-3, 2018
Dynamic mitigation of EDFA power excursions with machine learning
Y Huang, CL Gutterman, P Samadi, PB Cho, W Samoud, C Ware, ...
Optics express 25 (3), 2245-2258, 2017
Hybrid machine learning EDFA model
S Zhu, C Gutterman, AD Montiel, J Yu, M Ruffini, G Zussman, D Kilper
Optical Fiber Communication Conference, T4B. 4, 2020
Deep-neural-network-based wavelength selection and switching in ROADM systems
W Mo, CL Gutterman, Y Li, S Zhu, G Zussman, DC Kilper
Journal of optical communications and networking 10 (10), D1-D11, 2018
Deep neural network based dynamic resource reallocation of BBU pools in 5G C-RAN ROADM networks
W Mo, CL Gutterman, Y Li, G Zussman, DC Kilper
Optical Fiber Communication Conference, Th1B. 4, 2018
Experimental evaluation of large scale WiFi multicast rate control
V Gupta, C Gutterman, Y Bejerano, G Zussman
IEEE Transactions on Wireless Communications 17 (4), 2319-2332, 2018
A machine learning approach for dynamic optical channel add/drop strategies that minimize EDFA power excursions
Y Huang, W Samoud, CL Gutterman, C Ware, M Lourdiane, G Zussman, ...
ECOC 2016; 42nd European Conference on Optical Communication, 1-3, 2016
COSMOS: Optical architecture and prototyping
J Yu, T Chen, C Gutterman, S Zhu, G Zussman, I Seskar, D Kilper
2019 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2019
Stallion: Video adaptation algorithm for low-latency video streaming
C Gutterman, B Fridman, T Gilliland, Y Hu, G Zussman
Proceedings of the 11th ACM Multimedia Systems Conference, 327-332, 2020
Machine-learning-based EDFA gain estimation
J Yu, S Zhu, CL Gutterman, G Zussman, DC Kilper
Journal of Optical Communications and Networking 13 (4), B83-B91, 2021
Scalable WiFi multicast services for very large groups
Y Bejerano, J Ferragut, K Guo, V Gupta, C Gutterman, T Nandagopal, ...
2013 21st IEEE International Conference on Network Protocols (ICNP), 1-12, 2013
Neural network based wavelength assignment in optical switching
CL Gutterman, W Mo, S Zhu, Y Li, DC Kilper, G Zussman
Proceedings of the Workshop on Big Data Analytics and Machine Learning for …, 2017
Requet: Real-time QoE metric detection for encrypted YouTube traffic
C Gutterman, K Guo, S Arora, T Gilliland, X Wang, L Wu, E Katz-Bassett, ...
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020
A software-defined programmable testbed for beyond 5G optical-wireless experimentation at city-scale
T Chen, J Yu, A Minakhmetov, C Gutterman, M Sherman, S Zhu, ...
IEEE Network 36 (2), 90-99, 2022
DyMo: Dynamic Monitoring of Large-Scale LTE-Multicast Systems
Y Bejerano, C Raman, CN Yu, V Gupta, C Gutterman, T Young, ...
IEEE/ACM Transactions on Networking 27 (1), 258-271, 2019
Light-weight feedback mechanism for WiFi multicast to very large groups—Experimental evaluation
V Gupta, Y Bejerano, C Gutterman, J Ferragut, K Guo, T Nandagopal, ...
IEEE/ACM Transactions on Networking 24 (6), 3826-3840, 2016
Experiments on cloud-RAN wireless handover using optical switching in a dense urban testbed
A Minakhmetov, C Gutterman, T Chen, J Yu, C Ware, L Iannone, D Kilper, ...
Optical Fiber Communication Conference, Th2A. 25, 2020
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