9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)
DOI: 10.1109/apcc.2003.1274320
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Distributed video transcoding and its application to grid delivery

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Cited by 2 publications
(3 citation statements)
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“…Experimental results show the distributed transcoding system with 10 PCs decrease the total transcoding time by a factor of 7. More work needs to be done on a better video rate-control for variable bit rate encoding, and a better scheduling algorithm for unequal PC performance [13] and that can deal with PC failure during operation.…”
Section: Resultsmentioning
confidence: 99%
“…Experimental results show the distributed transcoding system with 10 PCs decrease the total transcoding time by a factor of 7. More work needs to be done on a better video rate-control for variable bit rate encoding, and a better scheduling algorithm for unequal PC performance [13] and that can deal with PC failure during operation.…”
Section: Resultsmentioning
confidence: 99%
“…Assume is the unwanted positive deviation which numerically exceeds the th goal and let be the unwanted negative deviation which falls short of the th goal. We can express this problem as follows: (17) subject to util IVM + 1 = constraint util IVM (18) util SVM + 2 = constraint util SVM (19) util TVM + 3 = constraint util TVM (20) rt − 4 = constraint rt (21) sl − 5 = constraint sl (22) te + 6 = constraint te (23) ec − 7 = constraint ec (24) pp…”
Section: Problem Formulationmentioning
confidence: 99%
“…These equations are formulations of related criteria derived in Section 4 and each of these equations has a specific constraint defined by the streaming service platform. Equations (18), (19), and (20) stand for Utilization of IVM, SVM, and TVM, and (21), (22), and (23) are regarded as response time, startup latency, and transcoding efficiency, respectively. And the last two equations, (24) and (25), are viewed as energy consumption and profit performance.…”
Section: Problem Formulationmentioning
confidence: 99%