Performance Optimization of a Distributed Transcoding System based on Hadoop for Multimedia Streaming Services
نویسندگان
چکیده
In recent times, Hadoop based on the MapReduce model has gained considerable attention because the features of the data preprocessing techniques are not timeconsuming and are suitable for processing large-scale data. In particular, MapReduce is emerging as an important programming model for developing distributed dataprocessing applications such as web indexing, data mining, log file analysis, financial analysis, and scientific research for processing petabyte-scale or terabyte-scale text-based data rather than multimedia data (images, videos, audio).
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تاریخ انتشار 2014