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Conference Papers Year : 2019

Optimising e-Government Data Centre Operations to Minimise Energy Consumption: A Simulation-Based Analytical Approach

Changwoo Suh
  • Function : Author
  • PersonId : 1063284
Truong Nguyen
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  • PersonId : 1063287
Habin Lee
  • Function : Author
  • PersonId : 1063288

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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hal-02445788 , version 1 (20-01-2020)

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Changwoo Suh, Mohammed Bahja, Youngseok Choi, Truong Nguyen, Habin Lee. Optimising e-Government Data Centre Operations to Minimise Energy Consumption: A Simulation-Based Analytical Approach. 18th International Conference on Electronic Government (EGOV), Sep 2019, San Benedetto del Tronto, Italy. pp.205-214, ⟨10.1007/978-3-030-27325-5_16⟩. ⟨hal-02445788⟩
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