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Object-Oriented Modelling and Simulation of Air Flow in Data Centres Based on a Quasi-3D Approach for Energy Optimisation

Leva, Alberto; Mastrandrea, Daniele; Bonvini, Marco and Papadopoulos, Alessandro Vittorio LU (2014) 6th Cloud Control Workshop In IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), (6th Cloud Control Workshop) p.554-559
Abstract
Cloud computing has recently received considerable attention, as a promising approach for delivering ICT services by improving the utilisation of data centre resources. On the other hand, the increased usage of ICT, jointly with the increased cost of energy, make designing and managing data centres with energy efficient strategies a crucial and strategical problem.



In the literature there are many studies based on Computational Fluid Dynamics (CFD) simulation models. While the obtained results are usually very reliable and accurate, the massive use of such models for control design require a large amount of time due to their computational complexity and scarce flexibility. In addition, CFD models are usually quite... (More)
Cloud computing has recently received considerable attention, as a promising approach for delivering ICT services by improving the utilisation of data centre resources. On the other hand, the increased usage of ICT, jointly with the increased cost of energy, make designing and managing data centres with energy efficient strategies a crucial and strategical problem.



In the literature there are many studies based on Computational Fluid Dynamics (CFD) simulation models. While the obtained results are usually very reliable and accurate, the massive use of such models for control design require a large amount of time due to their computational complexity and scarce flexibility. In addition, CFD models are usually quite sensitive to any kind of change to the operating conditions, e.g. when varying the considered load balancing algorithm.

In this paper, we propose a modelling and simulation framework suited for control design, that is able to simulate both heating and energy phenomena, and different load balancing strategies in a data centre. The purpose of this work is to provide a tool to perform energy-efficiency targeted studies, providing accurate and reliable results. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
keywords
Object-Oriented Modelling and Simulation, Energy Optimisation, Data Centres
in
IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), (6th Cloud Control Workshop)
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
6th Cloud Control Workshop
external identifiers
  • scopus:84946685439
ISBN
978-1-4799-7881-6
DOI
10.1109/UCC.2014.85
project
EIT_VR CLOUD Cloud Control
language
English
LU publication?
yes
id
45834e6d-7620-408c-b21a-cdf67d988fda (old id 4694956)
date added to LUP
2014-10-08 11:39:57
date last changed
2017-01-01 07:56:42
@inproceedings{45834e6d-7620-408c-b21a-cdf67d988fda,
  abstract     = {Cloud computing has recently received considerable attention, as a promising approach for delivering ICT services by improving the utilisation of data centre resources. On the other hand, the increased usage of ICT, jointly with the increased cost of energy, make designing and managing data centres with energy efficient strategies a crucial and strategical problem.<br/><br>
<br/><br>
In the literature there are many studies based on Computational Fluid Dynamics (CFD) simulation models. While the obtained results are usually very reliable and accurate, the massive use of such models for control design require a large amount of time due to their computational complexity and scarce flexibility. In addition, CFD models are usually quite sensitive to any kind of change to the operating conditions, e.g. when varying the considered load balancing algorithm.<br/><br>
In this paper, we propose a modelling and simulation framework suited for control design, that is able to simulate both heating and energy phenomena, and different load balancing strategies in a data centre. The purpose of this work is to provide a tool to perform energy-efficiency targeted studies, providing accurate and reliable results.},
  author       = {Leva, Alberto and Mastrandrea, Daniele and Bonvini, Marco and Papadopoulos, Alessandro Vittorio},
  booktitle    = {IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), (6th Cloud Control Workshop)},
  isbn         = {978-1-4799-7881-6},
  keyword      = {Object-Oriented Modelling and Simulation,Energy Optimisation,Data Centres},
  language     = {eng},
  pages        = {554--559},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Object-Oriented Modelling and Simulation of Air Flow in Data Centres Based on a Quasi-3D Approach for Energy Optimisation},
  url          = {http://dx.doi.org/10.1109/UCC.2014.85},
  year         = {2014},
}