CPU Power Management in Video Transcoding Servers

초록

To support the diverse requirements of mobile clients and fluctuating network bandwidth, video content for wireless streaming is usually transcoded into several versions. How- ever, transcoding requires a lot of computation, resulting in high power consumption by the server. We examine the characteristics of transcoding workloads and character- ize them in terms of deadline and computation time. We then propose a new dynamic voltage and frequency scaling (DVFS) scheme that allocates a frequency and a workload to each CPU with the aim of minimizing power consump- tion while meeting all transcoding deadlines. Experimental results show that our scheme can reduce system-wide energy consumption by 10% to 16% compared with the Linux On- demand governor while ensuring all the transcoding tasks meet their deadlines.