Prediction-Based and Locality-Aware Task Scheduling for Parallelizing Video Transcoding Over Heterogeneous MapReduce Cluster.

IEEE Transactions on Circuits and Systems for Video Technology(2018)

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摘要
MapReduce is a popular programming model in cloud computing to deal with the high computational task, such as video transcoding. It splits the video (task) into multiple segments (subtasks) and transcodes them in parallel in cluster. Due to the complexity of video transcoding and the poor performance of heterogeneous MapReduce cluster, scheduling these subtasks to minimize the total transcoding ti...
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关键词
Transcoding,Streaming media,Cloud computing,Complexity theory,Job shop scheduling,Predictive models,Computational modeling
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