Smart Datacenter Electrical Load Model for
Renewable Sources Management

Stephane Caux, Gustavo Rostirolla, Patricia Stolf



This article focused on presenting and evaluating an optimization module named RECO that aims to integrate both IT-load power model and Power production to schedule tasks in a cloud datacenter while respecting the possible power envelopes. We presented different algorithms that aim to
minimize due date violations while respecting power and resource constraints. Our genetic algorithm approach was able to reduces up to 73% of due date violations while increasing only 1.8% the energy consumption respecting one of the power profiles provided by the power manager. We also presented an evaluation of the impact that the power envelopes can have in the task scheduling, and that more power do not necessarily means better QoS for the IT part, but it is better to optimally
decide when this power is delivered. The outputs of the IT optimization could provide interesting load profiles to a power management module.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 16)
Pages: 121-126 Date of Publication: 2018/04/20
ISSN: 2172-038X Date of Current Version:2018/03/23
REF: 231-18 Issue Date: April 2018
DOI:10.24084/repqj16.231 Publisher: EA4EPQ

Authors and affiliations

Stephane Caux, Gustavo Rostirolla, Patricia Stolf

Key words



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