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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
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
0302-9743
205-214
Springer
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
Lindgren, Ida
Janssen, Marijn
Lee, Habin
Polini, Andrea
Rodríguez Bolívar, Manuel Pedro
Scholl, Hans Jochen
Tambouris, Efthimios
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
Lindgren, Ida
Janssen, Marijn
Lee, Habin
Polini, Andrea
Rodríguez Bolívar, Manuel Pedro
Scholl, Hans Jochen
Tambouris, Efthimios

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. pp. 205-214 . (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.

Full text not available from this repository.

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, 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
ORCID for Youngseok Choi: ORCID iD orcid.org/0000-0001-9842-5231

Catalogue record

Date deposited: 14 Feb 2020 17:30
Last modified: 15 Feb 2020 01:47

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Contributors

Author: Changwoo Suh
Author: Mohammed Bahja
Author: Youngseok Choi ORCID iD
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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