Optimising e-government data centre operations to minimise energy consumption: a simulation-based analytical approach
Optimising e-government data centre operations to minimise energy consumption: a simulation-based analytical approach
The energy consumption of data centres is increasing over and over. However, there are few decision support systems introduced for data centre practitioners to use it for their daily operations, including simulating their new server installation and forecasting power consumption for the target periods. We propose a simulation model based on CloudSim, which is widely used for data centre research. Our simulation model will be tested with datasets, including IT work-loads, cooling performance, and power consumption of servers and cooling devices. In the final stage, we provide a decision support system to monitor, forecast, and optimise the power consumption of a data centre easily on the web.
Data centre, Decision support system, GreenDC, Optimisation, Simulation
205-214
Suh, Changwoo
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Bahja, Mohammed
35a12737-279c-4707-a3f7-9616c1493209
Choi, Youngseok
928c489e-7c5b-42fc-bad8-77ce717ba106
Nguyen, Truong
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Lee, Habin
bab650b0-df62-40c1-bb0e-53d778ade29d
Rodríguez Bolívar, Manuel Pedro
2019
Suh, Changwoo
c089f10f-2b3d-4a7e-a133-5abe6bf7718c
Bahja, Mohammed
35a12737-279c-4707-a3f7-9616c1493209
Choi, Youngseok
928c489e-7c5b-42fc-bad8-77ce717ba106
Nguyen, Truong
0674363e-43db-408e-b876-7670ef0e7b6b
Lee, Habin
bab650b0-df62-40c1-bb0e-53d778ade29d
Rodríguez Bolívar, Manuel Pedro
Suh, Changwoo, Bahja, Mohammed, Choi, Youngseok, Nguyen, Truong and Lee, Habin
(2019)
Optimising e-government data centre operations to minimise energy consumption: a simulation-based analytical approach.
Lindgren, Ida, Janssen, Marijn, Lee, Habin, Polini, Andrea, Rodríguez Bolívar, Manuel Pedro, Scholl, Hans Jochen and Tambouris, Efthimios
(eds.)
In Electronic Government. EGOV 2019.
vol. 11685 LNCS,
Springer.
.
(doi:10.1007/978-3-030-27325-5_16).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The energy consumption of data centres is increasing over and over. However, there are few decision support systems introduced for data centre practitioners to use it for their daily operations, including simulating their new server installation and forecasting power consumption for the target periods. We propose a simulation model based on CloudSim, which is widely used for data centre research. Our simulation model will be tested with datasets, including IT work-loads, cooling performance, and power consumption of servers and cooling devices. In the final stage, we provide a decision support system to monitor, forecast, and optimise the power consumption of a data centre easily on the web.
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More information
e-pub ahead of print date: 31 July 2019
Published date: 2019
Venue - Dates:
18th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2019, , San Benedetto del Tronto, Italy, 2019-09-02 - 2019-09-04
Keywords:
Data centre, Decision support system, GreenDC, Optimisation, Simulation
Identifiers
Local EPrints ID: 437762
URI: http://eprints.soton.ac.uk/id/eprint/437762
ISSN: 0302-9743
PURE UUID: 6421494f-d04b-4d1a-a9c1-b8611a8d0af0
Catalogue record
Date deposited: 14 Feb 2020 17:30
Last modified: 16 Mar 2024 06:23
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Contributors
Author:
Changwoo Suh
Author:
Mohammed Bahja
Author:
Youngseok Choi
Author:
Truong Nguyen
Author:
Habin Lee
Editor:
Ida Lindgren
Editor:
Marijn Janssen
Editor:
Habin Lee
Editor:
Andrea Polini
Editor:
Manuel Pedro Rodríguez Bolívar
Editor:
Hans Jochen Scholl
Editor:
Efthimios Tambouris
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