Title
Traffic-aware power optimization for network applications on multicore servers
Abstract
In this paper, we design, implement, and evaluate a traffic-aware and power-efficient multicore server system by translating incoming traffic rate to appropriate system operating level, which is then translated to optimal per-core frequency configuration. According to the varying traffic rate, the system can adjust the number of active cores and per-core frequency “on-the-fly” via the use of per-core DVFS, power gating, and power migration techniques based on our new power model which considers both dynamic and static power consumption of all cores. Results on an AMD machine with two Quad-Core Opteron 2350 processors for six real network applications chosen from NetBench [19] show that our scheme reduces power consumption by an average of 41.0% compared to running with full capacity without any reduction in throughput. It also consumes less power than three other approaches, chip-wide DVFS [22], power gating [17], and chip-wide DVFS + power gating [15], by 35.2%, 24.3%, and 10.5% respectively.
Year
DOI
Venue
2012
10.1145/2228360.2228541
DAC
Keywords
Field
DocType
network application,chip-wide dvfs,appropriate system operating level,power consumption,per-core frequency,microprocessor chips,dynamic power consumption,power efficiency,power gating,amd machine,multicore architecture,netbench,power migration technique,traffic-aware power optimization,multiprocessing systems,packet processing,power migration,power-efficient multicore server system,multicore servers,multicore server,per-core dvfs,quad-core opteron 2350 processor,new power model,per-core frequency configuration,static power consumption,traffic rate,power optimization,chip,multicore processing,mathematical model,optimization,servers,throughput
Electrical efficiency,Power optimization,Computer science,Server,Real-time computing,Packet processing,Power gating,Throughput,Multi-core processor,Power consumption,Embedded system
Conference
ISSN
ISBN
Citations 
0738-100X
978-1-4503-1199-1
3
PageRank 
References 
Authors
0.53
12
3
Name
Order
Citations
PageRank
Jilong Kuang13817.00
Laxmi N. Bhuyan22393248.44
Raymond Klefstad315126.11