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Temperature Aware Power Allocation: An Optimization Framework and Case Studies

Li, Shen; Abdelzaher, Tarek; Wang, Shiguang; Kihl, Maria LU and Robertsson, Anders LU (2012) In Sustainable Computing: Informatics and Systems
Abstract
In this paper we propose a general power model along with a versatile optimization methodology that can be applied to different applications for minimizing service delay while satisfying power budget in data centers. We test our methodology on two totally different applications from both cloud computing and enterprise scenarios. Our solution is novel in that it takes into account the dependencies of power consumption on temperature, attributed to temperature-induced changes in leakage current and fan speed. While this dependence is well-known, we are the first to consider it in the context of minimizing service delay. Accordingly, we implement our strategies with Hadoop, Tomcat and MySQL on a 40-node cluster. The experimental results show... (More)
In this paper we propose a general power model along with a versatile optimization methodology that can be applied to different applications for minimizing service delay while satisfying power budget in data centers. We test our methodology on two totally different applications from both cloud computing and enterprise scenarios. Our solution is novel in that it takes into account the dependencies of power consumption on temperature, attributed to temperature-induced changes in leakage current and fan speed. While this dependence is well-known, we are the first to consider it in the context of minimizing service delay. Accordingly, we implement our strategies with Hadoop, Tomcat and MySQL on a 40-node cluster. The experimental results show that our solution can not only limit the power consumption to the power budget but also achieves smaller delays against static solutions and temperature oblivious DVFS solutions. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Sustainable Computing: Informatics and Systems
publisher
Elsevier
external identifiers
  • scopus:84865242447
ISSN
2210-5387
project
LCCC
language
English
LU publication?
yes
id
df008d6a-2f06-4088-9d5a-7f0547df4a0b (old id 2541412)
date added to LUP
2012-05-21 14:50:05
date last changed
2017-01-29 03:01:13
@article{df008d6a-2f06-4088-9d5a-7f0547df4a0b,
  abstract     = {In this paper we propose a general power model along with a versatile optimization methodology that can be applied to different applications for minimizing service delay while satisfying power budget in data centers. We test our methodology on two totally different applications from both cloud computing and enterprise scenarios. Our solution is novel in that it takes into account the dependencies of power consumption on temperature, attributed to temperature-induced changes in leakage current and fan speed. While this dependence is well-known, we are the first to consider it in the context of minimizing service delay. Accordingly, we implement our strategies with Hadoop, Tomcat and MySQL on a 40-node cluster. The experimental results show that our solution can not only limit the power consumption to the power budget but also achieves smaller delays against static solutions and temperature oblivious DVFS solutions.},
  author       = {Li, Shen and Abdelzaher, Tarek and Wang, Shiguang and Kihl, Maria and Robertsson, Anders},
  issn         = {2210-5387},
  language     = {eng},
  publisher    = {Elsevier},
  series       = {Sustainable Computing: Informatics and Systems},
  title        = {Temperature Aware Power Allocation: An Optimization Framework and Case Studies},
  year         = {2012},
}