Profile-guided three-phase virtual resource management for energy efficiency of data centers
Journal article
Ding, Zhe, Tian, Yu-Chu, Tang, Maolin, Li, Yuefeng, Wang, You-Gan and Zhou, Chunjie. (2020). Profile-guided three-phase virtual resource management for energy efficiency of data centers. IEEE Transactions on Industrial Electronics. 67(3), pp. 2460-2468. https://doi.org/10.1109/TIE.2019.2902786
Authors | Ding, Zhe, Tian, Yu-Chu, Tang, Maolin, Li, Yuefeng, Wang, You-Gan and Zhou, Chunjie |
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Abstract | Energy efficiency is a critical issue in the management of data centers, which form the backbone of cloud computing. Virtual resource management has a significant impact on improving the energy efficiency of data centers. Despite the progress in this area, virtual resource management has been considered mainly at two separate levels: application assignment and virtual machine placement. It has not been well-investigated in a unified framework for both levels, limiting further improvement in the energy efficiency of data centers. To address this issue, this paper proposes the virtual resource management problem for energy efficiency as a constrained optimization problem. Then, this paper simplifies the problem through profile-guided task classification and problem decomposition for complexity reduction and improved energy efficiency. After that, a three-phase framework and algorithms are presented for profiling and profile updating, task classification and application assignment, and successive virtual machine placement. Experimental studies show energy savings of 8-12% by the three-phase framework compared to the existing technique. |
Keywords | data center; energy efficiency; profile; task classification; virtual resource management |
Year | 2020 |
Journal | IEEE Transactions on Industrial Electronics |
Journal citation | 67 (3), pp. 2460-2468 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISSN | 0278-0046 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TIE.2019.2902786 |
Scopus EID | 2-s2.0-85074686925 |
Page range | 2460-2468 |
Funder | Australian Research Council (ARC) |
National Natural Science Foundation of China (NSFC) | |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 08 Mar 2019 |
Publication process dates | |
Accepted | 10 Feb 2019 |
Deposited | 12 Dec 2022 |
ARC Funded Research | This output has been funded, wholly or partially, under the Australian Research Council Act 2001 |
Grant ID | DP170103305 |
6161873103 |
https://acuresearchbank.acu.edu.au/item/8y8w2/profile-guided-three-phase-virtual-resource-management-for-energy-efficiency-of-data-centers
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