The design and operation of {CloudLab} D Duplyakin, R Ricci, A Maricq, G Wong, J Duerig, E Eide, L Stoller, ... 2019 USENIX annual technical conference (USENIX ATC 19), 1-14, 2019 | 646 | 2019 |
Characteristics of youtube network traffic at a campus network–measurements, models, and implications M Zink, K Suh, Y Gu, J Kurose Computer networks 53 (4), 501-514, 2009 | 474 | 2009 |
Short-wavelength technology and the potential for distributed networks of small radar systems D McLaughlin, D Pepyne, V Chandrasekar, B Philips, J Kurose, M Zink, ... Bulletin of the American Meteorological Society 90 (12), 1797-1818, 2009 | 346 | 2009 |
Watch global, cache local: YouTube network traffic at a campus network: measurements and implications M Zink, K Suh, Y Gu, J Kurose Multimedia Computing and Networking 2008 6818, 35-47, 2008 | 296 | 2008 |
Automated negotiation with decommitment for dynamic resource allocation in cloud computing B An, V Lesser, D Irwin, M Zink Proceedings of the 9th International Conference on Autonomous Agents and …, 2010 | 276 | 2010 |
Subjective impression of variations in layer encoded videos M Zink, O Künzel, J Schmitt, R Steinmetz Quality of Service—IWQoS 2003: 11th International Workshop Berkeley, CA …, 2003 | 176 | 2003 |
Scalable 360 video stream delivery: Challenges, solutions, and opportunities M Zink, R Sitaraman, K Nahrstedt Proceedings of the IEEE 107 (4), 639-650, 2019 | 136 | 2019 |
Layer-encoded video in scalable adaptive streaming M Zink, J Schmitt, R Steinmetz IEEE Transactions on Multimedia 7 (1), 75-84, 2005 | 111 | 2005 |
Cache-centric video recommendation: an approach to improve the efficiency of youtube caches DK Krishnappa, M Zink, C Griwodz, P Halvorsen ACM Transactions on Multimedia Computing, Communications, and Applications …, 2015 | 108 | 2015 |
SQUAD: A spectrum-based quality adaptation for dynamic adaptive streaming over HTTP C Wang, A Rizk, M Zink Proceedings of the 7th International Conference on Multimedia Systems, 1-12, 2016 | 104 | 2016 |
Not so QUIC: A performance study of DASH over QUIC D Bhat, A Rizk, M Zink Proceedings of the 27th workshop on network and operating systems support …, 2017 | 77 | 2017 |
On the feasibility of prefetching and caching for online tv services: a measurement study on hulu DK Krishnappa, S Khemmarat, L Gao, M Zink Passive and Active Measurement: 12th International Conference, PAM 2011 …, 2011 | 74 | 2011 |
DASHing YouTube: An analysis of using DASH in YouTube video service DK Krishnappa, D Bhat, M Zink 38th Annual IEEE Conference on Local Computer Networks, 407-415, 2013 | 71 | 2013 |
Network assisted content distribution for adaptive bitrate video streaming D Bhat, A Rizk, M Zink, R Steinmetz Proceedings of the 8th ACM on Multimedia Systems Conference, 62-75, 2017 | 70 | 2017 |
Watching user generated videos with prefetching S Khemmarat, R Zhou, L Gao, M Zink Proceedings of the second annual ACM conference on Multimedia systems, 187-198, 2011 | 70 | 2011 |
Capturing data uncertainty in high-volume stream processing Y Diao, B Li, A Liu, L Peng, C Sutton, T Tran, M Zink arXiv preprint arXiv:0909.1777, 2009 | 69 | 2009 |
Optimizing the video transcoding workflow in content delivery networks DK Krishnappa, M Zink, RK Sitaraman Proceedings of the 6th ACM Multimedia Systems Conference, 37-48, 2015 | 68 | 2015 |
Server-based rate control in a multimedia streaming environment J Rey, R Hakenberg, M Zink US Patent App. 10/777,781, 2005 | 64 | 2005 |
An end-user-responsive sensor network architecture for hazardous weather detection, prediction and response J Kurose, E Lyons, D McLaughlin, D Pepyne, B Philips, D Westbrook, ... Asian internet engineering conference, 1-15, 2006 | 60 | 2006 |
Immersive virtual reality production and playback for storytelling content GI Gewickey, LS Ostrover, M Smith, M Zink US Patent 9,997,199, 2018 | 58 | 2018 |