Paper Info
Title
Power optimization for multimedia transcoding on multicore servers
Abstract
We design, implement and evaluate a power-efficient and traffic-aware transcoding system on multicore servers that appropriately adjusts the processor operating level. The system is capable of configuring the number of active cores and core frequency “on-the-fly” according to the varying traffic rate. Results on an AMD machine show that our system saves 51.0% power consumption compared to a native system without power-saving schemes. It also outperforms three other power-aware systems, CG (clock gating), C-DVFS (chip-wide DVFS) and Hybrid (chip-wide DVFS + power-gating), by 19.5%, 10.5% and 5.5% reduction of power consumption, respectively.
Year
DOI
Venue
2010
10.1145/1872007.1872044
ANCS
Keywords
Field
DocType
optimisation,power optimization,chip-wide dvfs,power aware computing,power consumption,core frequency,amd machine,multicore architecture,amd machine show,power-aware system,native system,multiprocessing systems,clock gating,multimedia transcoding,media streaming,active core,transcoding,multicore server,processor operating level,traffic aware transcoding system,traffic-aware transcoding system,mathematical model,servers,chip,multicore processing,power efficiency
Clock gating,Transcoding,Power optimization,Computer science,Server,Real-time computing,Power demand,Multicore architecture,Multi-core processor,Power consumption,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-0379-8
2
0.39
References 
Authors
3
3
Name
Order
Citations
PageRank
Jilong Kuang13817.00
Danhua Guo21016.66
Laxmi N. Bhuyan32393248.44