Michael Zink
Michael Zink
Verified email at ecs.umass.edu
Cited by
Cited by
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
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
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, 681805, 2008
Automated negotiation with decommitment for dynamic resource allocation in cloud computing.
B An, VR Lesser, DE Irwin, M Zink
AAMAS 10, 981-988, 2010
Subjective impression of variations in layer encoded videos
M Zink, O KŁnzel, J Schmitt, R Steinmetz
international Workshop on Quality of Service, 137-154, 2003
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
Layer-encoded video in scalable adaptive streaming
M Zink, J Schmitt, R Steinmetz
IEEE Transactions on Multimedia 7 (1), 75-84, 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
On the feasibility of prefetching and caching for online tv services: a measurement study on hulu
DK Krishnappa, S Khemmarat, L Gao, M Zink
International Conference on Passive and Active Network Measurement, 72-80, 2011
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
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
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
Server-based rate control in a multimedia streaming environment
J Rey, R Hakenberg, M Zink
US Patent App. 10/777,781, 2005
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
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
Meteorological command and control: An end-to-end architecture for a hazardous weather detection sensor network
M Zink, D Westbrook, S Abdallah, B Horling, V Lakamraju, E Lyons, ...
Proceedings of the 2005 workshop on End-to-end, sense-and-respond systems†…, 2005
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
Closed-loop architecture for distributed collaborative adaptive sensing of the atmosphere: meteorological command and control
M Zink, E Lyons, D Westbrook, J Kurose, DL Pepyne
International Journal of Sensor Networks 7 (1-2), 4-18, 2010
Performance of DASH and WebRTC video services for mobile users
F Fund, C Wang, Y Liu, T Korakis, M Zink, SS Panwar
2013 20th International Packet Video Workshop, 1-8, 2013
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
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