Publication Type |
pre-print |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Sudan, Kshitij |
Other Author |
Srinivasan, Sadagopan; Balasubramonian, Rajeev; Iyer, Ravi |
Title |
Optimizing datacenter power with memory system levers for guaranteed quality-of-service |
Date |
2012-01-01 |
Description |
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. Colocation, 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%. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
117 |
Last Page |
126 |
Dissertation Institution |
University of Utah |
Language |
eng |
Bibliographic Citation |
Sudan, K., Srinivasan, S., Balasubramonian, R., & Iyer, R. (2012). Optimizing datacenter power with memory system levers for guaranteed quality-of-service. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, 117-26. |
Rights Management |
(c) 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
475,924 bytes |
Identifier |
uspace,18010 |
ARK |
ark:/87278/s69602bp |
Setname |
ir_uspace |
ID |
708203 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s69602bp |