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ORCIDJason J. Quinlan
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2020 – today
- 2023
[c25]Darijo Raca, Jason J. Quinlan, Ahmed H. Zahran, Cormac J. Sreenan, Riten Gupta, Abhishek Tiwari:
Quantifying the Impact of Base Station Metrics on LTE Resource Block Prediction Accuracy. INFOCOM Workshops 2023: 1-2- [c24]Darijo Raca
, Yogita Jadhav, Jason J. Quinlan, Ahmed H. Zahran:
360 Video DASH Dataset. MMSys 2023: 391-396 - 2022
- [j4]Yusuf Sani, Jason J. Quinlan, Cormac J. Sreenan:
A bio-inspired managed video delivery service using HTTP-based adaptive streaming. Multim. Syst. 28(3): 1083-1097 (2022) - [c23]Kerim Hodzic, Mirsad Cosovic, Sasa Mrdovic, Jason J. Quinlan, Darijo Raca:
Realistic video sequences for subjective QoE analysis. MMSys 2022: 246-251 - [i1]Kerim Hodzic, Mirsad Cosovic, Sasa Mrdovic, Jason J. Quinlan, Darijo Raca:
Realistic Video Sequences for Subjective QoE Analysis. CoRR abs/2204.06829 (2022) - 2020
- [c22]Raza Ul-Mustafa, Md. Tariqul Islam, Christian Esteve Rothenberg, Simone Ferlin, Darijo Raca, Jason J. Quinlan:
DASH QoE Performance Evaluation Framework with 5G Datasets. CNSM 2020: 1-6 - [c21]Darijo Raca, Dylan Leahy, Cormac J. Sreenan, Jason J. Quinlan:
Beyond throughput, the next generation: a 5G dataset with channel and context metrics. MMSys 2020: 303-308 - [c20]Raza Ul-Mustafa, Simone Ferlin, Christian Esteve Rothenberg, Darijo Raca, Jason J. Quinlan:
A Supervised Machine Learning Approach for DASH Video QoE Prediction in 5G Networks. Q2SWinet 2020: 57-64 - [c19]Darijo Raca, Maëlle Manifacier, Jason J. Quinlan:
goDASH - GO Accelerated HAS Framework for Rapid Prototyping. QoMEX 2020: 1-4 - [c18]Yusuf Sani, Darijo Raca, Jason J. Quinlan, Cormac J. Sreenan:
SMASH: A Supervised Machine Learning Approach to Adaptive Video Streaming over HTTP. QoMEX 2020: 1-6 - [c17]John O'Sullivan, Darijo Raca, Jason J. Quinlan:
Godash 2.0 - The Next Evolution of HAS Evaluation. WoWMoM 2020: 185-187
2010 – 2019
- 2019
- [c16]Jason J. Quinlan, Utz Roedig:
The benefits of Deceit: a Malicious client in a 5G Cellular Network. LANMAN 2019: 1-2 - [c15]Jason J. Quinlan, K. K. Ramakrishnan, Cormac J. Sreenan:
DI5GUISE: A highly Dynamic Framework for Real-Time Simulated 5G Evaluation. LANMAN 2019: 1-2 - [c14]Darijo Raca, Yusuf Sani, Cormac J. Sreenan, Jason J. Quinlan:
DASHbed: a testbed framework for large scale empirical evaluation of real-time DASH in wireless scenarios. MMSys 2019: 285-290 - 2018
- [j3]Jason J. Quinlan, Ahmed H. Zahran, Cormac J. Sreenan:
Efficient Delivery of Scalable Video Using a Streaming Class Model. Inf. 9(3): 59 (2018) - [j2]Ahmed H. Zahran, Jason J. Quinlan, K. K. Ramakrishnan, Cormac J. Sreenan:
ASAP: Adaptive Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks. ACM Trans. Multim. Comput. Commun. Appl. 14(3s): 61:1-61:23 (2018) - [c13]Jason J. Quinlan:
SDaN: Software Defined adaptive Networking - IoT and beyond. EWSN 2018: 250-251 - [c12]Jason J. Quinlan, Cormac J. Sreenan:
Multi-profile ultra high definition (UHD) AVC and HEVC 4K DASH datasets. MMSys 2018: 375-380 - [c11]Darijo Raca, Jason J. Quinlan, Ahmed H. Zahran, Cormac J. Sreenan:
Beyond throughput: a 4G LTE dataset with channel and context metrics. MMSys 2018: 460-465 - 2017
- [c10]Ahmed Khalid, Jason J. Quinlan, Cormac J. Sreenan:
MiniNAM: A network animator for visualizing real-time packet flows in Mininet. ICIN 2017: 229-231 - [c9]Ahmed H. Zahran, Jason J. Quinlan, K. K. Ramakrishnan, Cormac J. Sreenan:
SAP: Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks. MMSys 2017: 13-26 - 2016
- [c8]Jason J. Quinlan, Darijo Raca, Ahmed H. Zahran, Ahmed Khalid, K. K. Ramakrishnan, Cormac J. Sreenan:
D-LiTE: A platform for evaluating DASH performance over a simulated LTE network. LANMAN 2016: 1-2 - [c7]Ahmed H. Zahran, Jason J. Quinlan, K. K. Ramakrishnan, Cormac J. Sreenan:
Impact of the LTE scheduler on achieving good QoE for DASH video streaming. LANMAN 2016: 1-7 - [c6]Ahmed H. Zahran, Jason J. Quinlan, Darijo Raca, Cormac J. Sreenan, Emir Halepovic, Rakesh K. Sinha, Rittwik Jana, Vijay Gopalakrishnan:
OSCAR: an optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks. MoVid@MMSys 2016: 2:1-2:6 - [c5]Jason J. Quinlan, Ahmed H. Zahran, Cormac J. Sreenan:
Datasets for AVC (H.264) and HEVC (H.265) evaluation of dynamic adaptive streaming over HTTP (DASH). MMSys 2016: 51:1-51:6 - [c4]Jason J. Quinlan, Aleksandr Reviakin, Ahmed Khalid, K. K. Ramakrishnan, Cormac J. Sreenan:
D-LiTE-ful: an evaluation platform for DASH QoE for SDN-enabled ISP offloading in LTE: demo. WiNTECH 2016: 91-92 - 2015
- [j1]Jason J. Quinlan, Ahmed H. Zahran, Cormac J. Sreenan:
ALD: adaptive layer distribution for scalable video. Multim. Syst. 21(5): 465-484 (2015) - [c3]Jason J. Quinlan, Ahmed H. Zahran, K. K. Ramakrishnan, Cormac J. Sreenan:
Delivery of adaptive bit rate video: balancing fairness, efficiency and quality. LANMAN 2015: 1-6 - 2014
- [b1]Jason J. Quinlan:
Efficient delivery of scalable media streaming over lossy networks. University College Cork, Republic of Ireland, 2014 - 2013
- [c2]Jason J. Quinlan, Ahmed H. Zahran, Cormac J. Sreenan:
ALD: adaptive layer distribution for scalable video. MMSys 2013: 202-213 - 2012
- [c1]Jason J. Quinlan, Ahmed H. Zahran, Cormac J. Sreenan:
SDC: Scalable description coding for adaptive streaming media. PV 2012: 59-64
Coauthor Index
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