Name
Abstract | ||
|---|---|---|
Heterogeneous servers have long been introduced to improve energy efficiency in warehouse-scale computers(WSCs). However, running latency-critical web-services on heterogeneous servers is still challenging because the overheads of transition between such servers heavily impact overall benefits and performance. We propose Montgolfier, a runtime power management system based on a latency-aware feedback control mechanism. It consolidates wimpy and brawny servers into composite nodes to improve energy efficiency while ensuring QoS for latency-critical applications. Montgolfier effectively mitigates the effect of transition overhead between servers with dynamically load prediction and accurately provides thin-provisioned configurations in fine-grain manner for fluctuating loads. Our evaluation results show that Montgolfier reduces energy consumption by up to 34.9% without violating any QoS constraints. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/PCCC.2016.7820649 | 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC) |
Keywords | Field | DocType |
Montgolfier,latency-aware power management system,heterogeneous servers,warehouse-scale computer,WSC,latency-critical Web-services,runtime power management system,latency-aware feedback control mechanism,brawny servers,wimpy servers,latency-critical applications,QoS constraints | Latency (engineering),Efficient energy use,Computer science,Server,Quality of service,Computer network,Power management system,Real-time computing,Energy consumption,Overhead (business) | Conference |
ISSN | ISBN | Citations |
1097-2641 | 978-1-5090-5253-0 | 1 |
PageRank | References | Authors |
0.37 | 20 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haoran Cai | 1 | 8 | 3.51 |
| Qiang Cao | 2 | 593 | 57.50 |
| Feng Sheng | 3 | 5 | 1.08 |
| Manyi Zhang | 4 | 1 | 0.37 |
| Chuanyi Qi | 5 | 1 | 0.37 |
| Jie Yao | 6 | 4 | 3.48 |
| Changsheng Xie | 7 | 25 | 6.27 |