Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Energy-Efficient Resource Allocation Strategy Based on Task Classification in Data Center

Authors
Hongjian Li, Shiwang Ding, Pengfei Zhang, Jun Lai
Corresponding Author
Hongjian Li
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.20How to use a DOI?
Keywords
data center; workload characterization; task classification; energy efficiency; resource allocation
Abstract
In view of the fact that the research on energy efficiency in data centers has not fully considered the heterogeneity of workload tasks, a data center resource allocation scheme based on task classification is proposed. Through cluster analysis, tasks are classified into subsets of similar resources and performance requirements. The same types of tasks to configure a reasonable type of virtual machine to improve the compatibility between workload requirements and configuration resources. While ensuring the QoS requirements of different types of tasks, resources preemption of tasks of the same resource requirement type is avoided, enabling energy-efficient resource allocation with low-power and QoS guarantees in the data center. Simulation experimental results find that, compared with the traditional resource allocation algorithm, this scheme effectively improves the data center energy efficiency.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.20How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongjian Li
AU  - Shiwang Ding
AU  - Pengfei Zhang
AU  - Jun Lai
PY  - 2018/05
DA  - 2018/05
TI  - Energy-Efficient Resource Allocation Strategy Based on Task Classification in Data Center
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.20
DO  - https://doi.org/10.2991/amcce-18.2018.20
ID  - Li2018/05
ER  -