@inbook{df50571ffd5649aa8eba7efe3827e73d,
title = "On energy- and cooling-aware data centre workload management",
abstract = "The power consumption of a data centre (DC)can be attributed to the power consumed for running the servers and to the computer room air conditioner (CRAC)power for cooling them. The challenge is to distribute the load among servers, controlling the number of active servers and optimally balancing IT and cooling power requirement. This goal demands integration of thermal, power and workload models that minimises a non-linear energy utilisation function. In this paper first we encode this problem using a non-linear objective function and use local search for solving it. We carryout simulation experiments using data provided by the Bluesimtool. The results encourage the effectiveness of our approach, showing that system-wide energy utilisation can be reduced using a holistic approach.",
keywords = "Energy minimisation, Local search",
author = "Chisca, \{Danuta Sorina\} and Ignacio Castineiras and Deepak Mehta and Barry Osullivan",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015 ; Conference date: 04-05-2015 Through 07-05-2015",
year = "2015",
month = jul,
day = "7",
doi = "10.1109/CCGrid.2015.141",
language = "English",
series = "Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1111--1114",
booktitle = "Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015",
address = "United States",
}