TY - GEN
T1 - NEWSMAN
T2 - 22nd International Conference on MultiMedia Modeling, MMM 2016
AU - Shah, Rajiv Ratn
AU - Hefeeda, Mohamed
AU - Zimmermann, Roger
AU - Harras, Khaled
AU - Hsu, Cheng Hsin
AU - Yu, Yi
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016/1/6
Y1 - 2016/1/6
N2 - An interesting recent trend, enabled by the ubiquitous availability of mobile devices, is that regular citizens report events which news providers then disseminate, e.g., CNN iReport. Often such news are captured in places with very weak network infrastructures and it is imperative that a citizen journalist can quickly and reliably upload videos in the face of slow, unstable, and intermittent Internet access. We envision that some middleboxes are deployed to collect these videos over energy-efficient short-range wireless networks. Multiple videos may need to be prioritized, and then optimally transcoded and scheduled. In this study we introduce an adaptive middlebox design, called NEWSMAN, to support citizen journalists. NEWSMAN jointly considers two aspects under varying network conditions: (i) choosing the optimal transcoding parameters, and (ii) determining the uploading schedule for news videos. We design, implement, and evaluate an efficient scheduling algorithm to maximize a user-specified objective function. We conduct a series of experiments using trace-driven simulations, which confirm that our approach is practical and performs well. For instance, NEWSMAN outperforms the existing algorithms (i) by 12 times in terms of system utility (i.e., sum of utilities of all uploaded videos), and (ii) by 4 times in terms of the number of videos uploaded before their deadline.
AB - An interesting recent trend, enabled by the ubiquitous availability of mobile devices, is that regular citizens report events which news providers then disseminate, e.g., CNN iReport. Often such news are captured in places with very weak network infrastructures and it is imperative that a citizen journalist can quickly and reliably upload videos in the face of slow, unstable, and intermittent Internet access. We envision that some middleboxes are deployed to collect these videos over energy-efficient short-range wireless networks. Multiple videos may need to be prioritized, and then optimally transcoded and scheduled. In this study we introduce an adaptive middlebox design, called NEWSMAN, to support citizen journalists. NEWSMAN jointly considers two aspects under varying network conditions: (i) choosing the optimal transcoding parameters, and (ii) determining the uploading schedule for news videos. We design, implement, and evaluate an efficient scheduling algorithm to maximize a user-specified objective function. We conduct a series of experiments using trace-driven simulations, which confirm that our approach is practical and performs well. For instance, NEWSMAN outperforms the existing algorithms (i) by 12 times in terms of system utility (i.e., sum of utilities of all uploaded videos), and (ii) by 4 times in terms of the number of videos uploaded before their deadline.
KW - Adaptive transmission
KW - Information systems applications
KW - Multimedia information systems
KW - News reporting
KW - News scheduling
KW - Video transcoding
UR - https://www.scopus.com/pages/publications/84955302010
U2 - 10.1007/978-3-319-27671-7_9
DO - 10.1007/978-3-319-27671-7_9
M3 - Conference contribution
AN - SCOPUS:84955302010
SN - 9783319276700
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 100
EP - 113
BT - MultiMedia Modeling - 22nd International Conference, MMM 2016, Proceedings
A2 - Tian, Qi
A2 - Hong, Richang
A2 - Liu, Xueliang
A2 - Sebe, Nicu
A2 - Huet, Benoit
A2 - Qi, Guo-Jun
PB - Springer Verlag
Y2 - 4 January 2016 through 6 January 2016
ER -