Journal article
Analyzing energy-efficiency of two scheduling policies in compute-intensive applications on cloud
P Kuang, W Guo, X Xu, H Li, W Tian, R Buyya
IEEE Access | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2018
Abstract
© 2018 IEEE. One of the key problems facing cloud applications is to reduce their energy consumption, which can increase the working lifetime of a machine, decrease the operation costs of cloud providers, and the environmental impact caused by power consumption. It is very important to design and evaluate an energy-efficient cloud. Recently, two open problems are raised in the literature: 1) what is the optimal solution (the lower bound) for the total energy consumption? and 2) what is the energy-efficiency for a scheduling algorithm? In this paper, we consider two major scheduling policies: 1) always power-on physical machines (PMs) once turning-on and 2) turning-off (hibernating) idle PMs,..
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Awarded by National Natural Science Foundation of China
Funding Acknowledgements
This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61672136, Grant 61650110513, and Grant 61602434, in part by the Science and Technology Plan of Sichuan Province under Grant 2016GZ0322, and in part by the West Light Plan of Chinese Academy of Science under Grant R51A150Z10.