Media streaming services, such as IPTV, Video-On-Demand (VOD), and video calling, continue to emerge requiring more and more network resources.For example, several studies predict that mobile video data traffic would increase 15-20 times by 2018. This demand increase affects the quality of service of video streaming sessions resulting in problems such as interrupted streaming, large session setup delay, and reduced video quality. Many of the existing solutions solely depend on end-to-end quality improvement approaches. Recently, Software-Defined Networks (SDNs) promise a high degree of flexibility in network control, providing an impetus to consider network-oriented solutions for improving video streaming performance. Our research aim is the design of suitable network control enhancements, to analyse their operational behaviour, and to evaluate their impact on user quality of experience and network resource utilisation.  Our  hypothesis  is that solving these problems requires a coordinated network system capable of controlling and optimising video delivery to end-users. Solutions that are exclusively client-side or server-side struggle to infer a sufficiently accurate view of the network resource. Our approach exposes the network state, allowing a managed response to video delivery.  

SAP: Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks. Winner of the "Excellence in DASH Award". Proc. of ACM Multimedia Systems 2017, Taipei, Taiwan, June 20-23, 2017. For further details click here.

 

D-LiTE: A platform for evaluating DASH performance over a simulated LTE network. "Best Demo Award". Proc. of 22nd IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2016), Rome, Italy. June 13-15, 2016. For further details click here.  

The following publications can be accessed from the relevant conference publishers (ACM/IEEE/MDPI) or from CORA. CORA is the Cork Open Research Archive and gives you free open access to University College Cork's scholarly and scientific research publications and theses.  

 

J. O’Sullivan, D. Raca, and Jason J. Quinlan.  Demo: godash 2.0 - The Next Evolution of HAS Evaluation. 21^st IEEE International Symposium On A World Of Wireless, Mobile And Multimedia Networks (IEEE WoWMoM 2020), Cork, Ireland. 31^st August - 3^rd September, 2020 [CORA] [godash GitHub] [godashbed GitHub] [Install script] (To Appear)

 

D. Raca, D. Leahy, C.J. Sreenan and J.J. Quinlan.  Beyond Throughput: The Next Generation a 5G Dataset with Channel and Context Metrics. ACM Multimedia Systems Conference (MMSys), Istanbul, Turkey. June 8-11, 2020 [CORA] [GitHub] [Code]  [Presentation] [ACM]

 

D. Raca, M. Manifacier, and J.J. Quinlan.  goDASH - GO accelerated HAS framework for rapid prototyping. 12th International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland. 26th to 28th May, 2020 [CORA] [Poster] [Video Poster Presentation] [Install script] [IEEE]

 

Y. Sani, D. Raca, J.J. Quinlan and C.J. Sreenan.  SMASH: a Supervised Machine Learning Approach to Adaptive Video Streaming over HTTP. 12th International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland. 26th - 28th May, 2020 [CORA] [SMASH_Video] [SMASH_Slide Presentation] [IEEE]

 

D. Raca,  A.H. Zahran, C.J. Sreenan, R. K. Sinha, E. Halepovic, R. Jana, V. Gopalakrishnan. On Leveraging Machine and Deep Learning for Throughput Prediction in Cellular Networks: Design, Performance, and Challenges. IEEE Communications Magazine, vol. 58, no. 3, pp. 11-17, March 2020. [CORA] [IEEE]

 

J.J. Quinlan, K.K. Ramakrishnan and C.J. Sreenan. DI5GUISE: A highly dynamic framework for real-time simulated 5G evaluation. [Poster] 25th IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2019), Paris, France. July 1-3, 2019 [CORA][IEEE]

 

J.J. Quinlan and U. Roedig. The benefits of Deceit: a Malicious client in a 5G Cellular Network. [Poster] 25th IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2019), Paris, France. July 1-3, 2019 [CORA] [IEEE]

 

D. Raca, Y. Sani, C.J. Sreenan and J.J. Quinlan. DASHbed: a testbed Framework for Large Scale Empirical Evaluation of Real-Time DASH in Wireless Scenarios [Poster]. ACM Multimedia Systems Conference (MMSys), Amherst, MA, USA. June 18-21 2019 [CORA] [ACM]

 

D. Raca,  A.H. Zahran, C.J. Sreenan, R. K. Sinha, E. Halepovic, R. Jana, V. Gopalakrishnan, B. Bathula and M. Varvello. Empowering Video Players in Cellular: Throughput Prediction from Radio Network Measurements. [Presentation] ACM Multimedia Systems Conference (MMSys), Amherst, MA, USA. June 18-21 2019 [CORA] [ACM]

 

A. Khalid, A.H. Zahran, and C.J. Sreenan. An SDN-Based Device-Aware Live Video Service For Inter-Domain Adaptive Bitrate Streaming. [Presentation] ACM Multimedia Systems Conference (MMSys), Amherst, MA, USA. June 18-21 2019 [CORA] [ACM]

 

A. Khalid, A.H. Zahran, and C.J. Sreenan. RTOP: Optimal User Grouping and SFN Clustering for Multiple eMBMS Video Sessions. [Presentation]. Proc. of the IEEE International Conference on Computer Communications (INFOCOM). 29 April- 2 May 2019, Paris, France [CORA] [IEEE]

 

A.H. Zahran, J.J. Quinlan, K.K. Ramakrishnan, C.J. Sreenan. ASAP: Adaptive Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). Vol. 14(3s), pp. 61, June 2018. [CORA] [ACM]

 

D. Raca, A.H. Zahran, C.J. Sreenan R.K. Sinha, E. Halepovic, R. Jana, V. Gopalakrishnan, B. Bathula, M. Varvello. Incorporating Prediction into Adaptive Streaming Algorithms: A QoE Perspective. Proc. of 28th ACM SIGMM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV'18), Amsterdam, The Netherlands, June 2018. [CORA] [ACM]

 

D. Raca, J.J. Quinlan, A.H. Zahran, C.J. Sreenan. Beyond Throughput: a 4G LTE Dataset with Channel and Context Metrics. Proc. of ACM Multimedia Systems Conference (MMSys 2018), Amsterdam, The Netherlands, June 2018. [CORA] [ACM]

 

J.J. Quinlan, C.J. Sreenan. Multi-Profile Ultra High Definition (UHD) AVC and HEVC 4K DASH Datasets [Poster]. Proc. of ACM Multimedia Systems Conference (MMSys 2018), Amsterdam, The Netherlands, June 2018. [CORA] [ACM]

 

A. Reviakin, A.H. Zahran, C.J. Sreenan. dashc : a highly scalable client emulator for DASH video. Proc. of ACM Multimedia Systems Conference (MMSys 2018), Amsterdam, The Netherlands, June 2018. [CORA] [ACM]

 

A.H. Zahran, D. Raca, C.J. Sreenan. ARBITER+: Adaptive Rate-Based InTElligent HTTP StReaming Algorithm for Mobile Networks. IEEE Transactions on Mobile Computing. PP 1-1. (DOI: 10.1109/TMC.2018.2825384), April 2018. [CORA] [IEEE]

 

J.J. Quinlan, A.H. Zahran, C.J. Sreenan. Efficient Delivery of Scalable Video using a Streaming Class Model. Invited publication in the Special Issue of “Information” on Network and Rateless Coding for Video Streaming. Information 2018, 9(3), 59. March 2018 [CORA] [MDPI]

 

J.J. Quinlan. SDaN: Software Defined adaptive Networking - IoT and beyond. [Presentation] Proc of the MadCom Workshop: New Wireless Communication Paradigms for the Internet of Things @ the International Conference on Embedded Wireless Systems and Networks (EWSN) 2018, Madrid, Spain, February 14-16, 2018. [CORA] [ACM]

 

D. Raca, A.H. Zahran, C.J. Sreenan, R.K. Sinha, E. Halepovic, R. Jana, V. Gopalakrishnan. Back to the Future: Throughput Prediction For Cellular Networks using Radio KPIs. Proc of 4th ACM Workshop on Hot Topics in Wireless (HotWireless 2017) at the ACM MobiCom Conference, October 16-20, 2017, Utah, USA. [CORA] [ACM]

 

A. Khalid, A.H. Zahran, C.J. Sreenan. mCast: An SDN-based Resource-Efficient Live Video Streaming Architecture with ISP-CDN Collaboration. [Presentation] Proc of the 42nd IEEE Conference on Local Computer Networks (LCN), October 9-12, 2017, Singapore. [CORA] [IEEE]

 

A. Khalid, A.H. Zahran, C.J. Sreenan. DEMO: Prototyping and Evaluating SDN-based Multicast Architectures for Live Video Streaming. [Poster] Proc of the 42nd IEEE Conference on Local Computer Networks (LCN), October 9-12, 2017, Singapore. [CORA_Demo] [CORA_Poster][IEEE]

 

A.H. Zahran, J.J. Quinlan, K. K. Ramakrishnan, C.J. Sreenan. SAP: Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks. [Presentation] Proc. of ACM Multimedia Systems 2017, Taipei, Taiwan, June 20-23, 2017. (Winner of the "Excellence in DASH Award"). [CORA] [ACM]

 

A. Khalid, J.J. Quinlan, C.J. Sreenan. MiniNAM: A Network Animator for Visualizing Real-Time Packet Flows in Mininet. [Poster] Proc of the 20^th conference on Innovations in Clouds, Internet and Networks, ICIN2017, Paris, France, March 7 - 9, 2017. [CORA] [IEEE]

 

J.J. Quinlan, A. Reviakin, A. Khalid, K.K. Ramakrishnan, C.J. Sreenan. D-LiTE-ful: An evaluation platform for DASH QoE for SDN-enabled ISP offloading in LTE. [Presentation] Proc of the 10^th ACM International Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (WINTECH) at the ACM MobiCom Conference, October 2016. [CORA] [ACM]

 

D. Raca, A.H. Zahran, C.J. Sreenan. Sizing Network Buffers: A HTTP Adaptive Streaming Perspective. [Presentation] Proc. of 4th International Conference on Future Internet of Things and Cloud (FiCloud), Vienna, Austria. August 22-24, 2016. [CORA] [IEEE]

 

A.H. Zahran, C.J. Sreenan. ARBITER: Adaptive Rate-Based InTElligent HTTP StReaming Algorithm. [Presentation] Proc. of 22rd International Packet Video Workshop (PV 2016), Seattle, WA, USA. July 11-15, 2016. [CORA] [IEEE]

 

J.J. Quinlan, D. Raca, A.H. Zahran, A. Khalid, K.K. Ramakrishnan,C.J. Sreenan. DEMO: D-LiTE: A platform for evaluating DASH performance over a simulated LTE network. [Presentation] Proc. of 22nd IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2016), Rome, Italy. June 13-15, 2016. (Best Demo Award). [CORA] [IEEE]

 

A.H. Zahran, J.J. Quinlan, C.J. Sreenan, K.K. Ramakrishnan. Impact of the LTE Scheduler on achieving Good QoE for DASH Video Streaming. [Presentation] Proc. of 22nd IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2016), Rome, Italy. June 13-15, 2016. [CORA] [IEEE]

 

J.J. Quinlan, A.H. Zahran, C.J. Sreenan. Datasets for AVC (H.264) and HEVC (H.265) Evaluation of Dynamic Adaptive Streaming over HTTP (DASH). [Presentation] Proc. of the 7th ACM Multimedia Systems Conference 2016 (MMSYS 2016), Klagenfurt am Wörthersee, Austria. May 10-13, 2016. [CORA] [ACM]

 

A.H. Zahran, J.J. Quinlan, D. Raca, C.J. Sreenan, E. Halepovic, R. K. Sinha, R. Jana, V. Gopalakrishnan. OSCAR: An Optimized Stall-Cautious Adaptive Bitrate Streaming Algorithm For Mobile Networks. [Presentation] Proc. of the 8th ACM Workshop on Mobile Video. (MoVid 2016), Klagenfurt am Wörthersee, Austria. May 10-13, 2016. [CORA] [ACM]

 

M.K. Abdel-Aziz, A.H. Zahran, T. ElBatt. A Novel Framework For Scalable Video Streaming Over Multi-Channel Multi-Radio Wireless Mesh Networks. [Presentation] Proc. 8th ACM workshop on Mobile Video, (MoVid 2016), Klagenfurt, Klagenfurt am Wörthersee, Austria. May 10-13, 2016. [ACM]

 

J.J. Quinlan, A.H. Zahran, K.K. Ramakrishnan, C.J. Sreenan. Delivery of Adaptive Bit Rate Video: Balancing Fairness, Efficiency and Quality. [Presentation] Proc. of 21st IEEE International Workshop on Local and Metropolitan Area Networks (LANMAN), Tsinghua, Beijing, China. April 22-24 2015. [CORA] [IEEE]