TY - GEN
T1 - QAVA
T2 - 8th ACM International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2012
AU - Chen, Jiasi
AU - Ghosh, Amitabha
AU - Magutt, Josphat
AU - Chiang, Mung
PY - 2012
Y1 - 2012
N2 - Two emerging trends of Internet applications, video traffic becoming dominant and usage-based pricing becoming prevalent, are at odds with each other. Given this conflict, is there a way for users to stay within their monthly data plans (data quotas) without suffering a noticeable degradation in video quality? In this work, we develop an online video adaptation system, called Quota Aware Video Adaptation (QAVA), that manages this tradeoff by leveraging the compressibility of videos and by predicting consumer usage behavior throughout a billing cycle. We propose the QAVA architecture and develop its main modules, including Stream Selection, User Profiling, and Video Profiling. Online algorithms are designed through dynamic programming and evaluated using real video request traces. Empirical results suggest that QAVA can provide an effective solution to the dilemma of usage-based pricing of heavy video traffic.
AB - Two emerging trends of Internet applications, video traffic becoming dominant and usage-based pricing becoming prevalent, are at odds with each other. Given this conflict, is there a way for users to stay within their monthly data plans (data quotas) without suffering a noticeable degradation in video quality? In this work, we develop an online video adaptation system, called Quota Aware Video Adaptation (QAVA), that manages this tradeoff by leveraging the compressibility of videos and by predicting consumer usage behavior throughout a billing cycle. We propose the QAVA architecture and develop its main modules, including Stream Selection, User Profiling, and Video Profiling. Online algorithms are designed through dynamic programming and evaluated using real video request traces. Empirical results suggest that QAVA can provide an effective solution to the dilemma of usage-based pricing of heavy video traffic.
KW - Data quota
KW - Video rate adaptation
KW - Video streaming
UR - http://www.scopus.com/inward/record.url?scp=84871999709&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871999709&partnerID=8YFLogxK
U2 - 10.1145/2413176.2413191
DO - 10.1145/2413176.2413191
M3 - Conference contribution
AN - SCOPUS:84871999709
SN - 9781450317757
T3 - CoNEXT 2012 - Proceedings of the 2012 ACM Conference on Emerging Networking Experiments and Technologies
SP - 121
EP - 132
BT - CoNEXT 2012 - Proceedings of the 2012 ACM Conference on Emerging Networking Experiments and Technologies
Y2 - 10 December 2012 through 13 December 2012
ER -