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Optimal task placement with QoS constraints in geo-distributed data centers using DVFS

Gu, Lin, Zeng, Deze, Barnawi, Ahmed, Guo, Song and Stojmenovic, Ivan 2015, Optimal task placement with QoS constraints in geo-distributed data centers using DVFS, IEEE transactions on computers, vol. 64, no. 7, pp. 2049-2059, doi: 10.1109/TC.2014.2349510.

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Title Optimal task placement with QoS constraints in geo-distributed data centers using DVFS
Author(s) Gu, Lin
Zeng, Deze
Barnawi, Ahmed
Guo, Song
Stojmenovic, Ivan
Journal name IEEE transactions on computers
Volume number 64
Issue number 7
Start page 2049
End page 2059
Total pages 11
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2015-07-01
ISSN 0018-9340
Keyword(s) Science & Technology
Technology
Computer Science, Hardware & Architecture
Engineering, Electrical & Electronic
Computer Science
Engineering
Data center
Cost minimization
Request mapping
Dynamic voltage frequency scaling
POWER
PERFORMANCE
Summary  With the rising demands on cloud services, the electricity consumption has been increasing drastically as the main operational expenditure (OPEX) to data center providers. The geographical heterogeneity of electricity prices motivates us to study the task placement problem over geo-distributed data centers. We exploit the dynamic frequency scaling technique and formulate an optimization problem that minimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. Furthermore, an optimal solution is discovered for this formulated problem. The experimental results show that our proposal achieves much higher cost-efficiency than the traditional resizing scheme, i.e., by activating/deactivating certain servers in data centers.
Language eng
DOI 10.1109/TC.2014.2349510
Field of Research 0803 Computer Software
0805 Distributed Computing
1006 Computer Hardware
080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082122

Document type: Journal Article
Collection: School of Information Technology
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Citation counts: TR Web of Science Citation Count  Cited 6 times in TR Web of Science
Scopus Citation Count Cited 5 times in Scopus
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