Data utility cognitive green video streaming

作者: Seohyang Kim , Hayoung Oh , Chongkwon Kim

DOI: 10.1109/BIGCOMP.2016.7425937

关键词:

摘要: To optimize resource usage in communication, various algorithms have been proposed to enhance efficiency data, energy, and throughput. Here we propose a data utility cognitive green video streaming strategy with novel streaming-chunk scheduling algorithm balance energy efficiency. We focused on maximizing the ratio of electricity. Simulation study results showed that our could reduce 10∼70% waste while consuming almost same amount compared latest most efficient solution considering both energy. In addition, it increased Since uses simple divide conquer approach avoiding too many multiplication operators, requires only 14 percent calculation time currently available best strategy.

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