%0 Conference Proceedings
%T Optimising e-Government Data Centre Operations to Minimise Energy Consumption: A Simulation-Based Analytical Approach
%+ Brunel University London [Uxbridge]
%+ University of Birmingham [Birmingham]
%+ LK Knowledge Engineering Ltd
%A Suh, Changwoo
%A Bahja, Mohammed
%A Choi, Youngseok
%A Nguyen, Truong
%A Lee, Habin
%Z Part 3: Open Data: Social and Technical Aspects
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 18th International Conference on Electronic Government (EGOV)
%C San Benedetto del Tronto, Italy
%Y Ida Lindgren
%Y Marijn Janssen
%Y Habin Lee
%Y Andrea Polini
%Y Manuel Pedro Rodríguez Bolívar
%Y Hans Jochen Scholl
%Y Efthimios Tambouris
%I Springer International Publishing
%3 Electronic Government
%V LNCS-11685
%P 205-214
%8 2019-09-02
%D 2019
%R 10.1007/978-3-030-27325-5_16
%K Data centre
%K Optimisation
%K Simulation
%K Decision support system
%K GreenDC
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%Z WG 8.5
%2 https://inria.hal.science/hal-02445788/document
%2 https://inria.hal.science/hal-02445788/file/485030_1_En_16_Chapter.pdf
%L hal-02445788
%U https://inria.hal.science/hal-02445788
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-EGOV
%~ IFIP-WG8-5
%~ IFIP-LNCS-11685