Name
Title | ||
|---|---|---|
Optimizing datacenter power with memory system levers for guaranteed quality-of-service |
Abstract | ||
|---|---|---|
Co-location of applications is a proven technique to improve hardware utilization. Recent advances in virtualization have made co-location of independent applications on shared hardware a common scenario in datacenters. Co-location, while maintaining Quality-of-Service (QoS) for each application is a complex problem that is fast gaining relevance for these datacenters. The problem is exacerbated by the need for effective resource utilization at datacenter scales. In this work, we show that the memory system is a primary bottleneck in many workloads and is a more effective focal point when enforcing QoS. We examine four different memory system levers to enforce QoS: two that have been previously proposed, and two novel levers. We compare the effectiveness of each lever in minimizing power and resource needs, while enforcing QoS guarantees. We also evaluate the effectiveness of combining various levers and show that this combined approach can yield power reductions of up to 28%. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2370816.2370834 | PACT |
Keywords | Field | DocType |
different memory system lever,memory system,qos guarantee,power reduction,datacenter power,guaranteed quality-of-service,hardware utilization,shared hardware,resource need,effective focal point,effective resource utilization,complex problem,cloud computing,quality of service | Virtualization,Bottleneck,Focal point,Computer science,Lever,Parallel computing,Quality of service,Real-time computing,Cloud computing | Conference |
ISSN | ISBN | Citations |
1089-795X | 978-1-5090-6609-4 | 7 |
PageRank | References | Authors |
0.43 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kshitij Sudan | 1 | 190 | 8.71 |
| Sadagopan Srinivasan | 2 | 120 | 7.87 |
| Rajeev Balasubramonian | 3 | 2302 | 116.79 |
| Ravishankar K. Iyer | 4 | 1119 | 75.72 |