Type-aware task placement in geo-distributed data centers with low OPEX using data center resizing

Gu,L, Zeng,D, Guo,S and Yu,S 2014, Type-aware task placement in geo-distributed data centers with low OPEX using data center resizing, in ICNC 2014 : Proceedings of the 2014 International Conference on Computing, Networking and Communications, IEEE Computer Society, Piscataway, N.J., pp. 211-215, doi: 10.1109/ICCNC.2014.6785333.

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Title Type-aware task placement in geo-distributed data centers with low OPEX using data center resizing
Author(s) Gu,L
Zeng,D
Guo,S
Yu,SORCID iD for Yu,S orcid.org/0000-0003-4485-6743
Conference name Computing, Networking and Communications. Conference (2014 : Honolulu, Hawaii)
Conference location Honolulu, Hawaii
Conference dates 2014/2/3 - 2014/2/6
Title of proceedings ICNC 2014 : Proceedings of the 2014 International Conference on Computing, Networking and Communications
Editor(s) [Unknown]
Publication date 2014
Conference series Computing, Networking and Communications Conference
Start page 211
End page 215
Total pages 5
Publisher IEEE Computer Society
Place of publication Piscataway, N.J.
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 type-aware task placement problem over geo-distributed data centers. With the consideration of the diversity of user requests and server clusters in modern data centers, we formulate an optimization problem that minimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. Furthermore, an efficient solution is designed for this formulated problem. The experimental results show that our proposal achieves much higher cost-efficiency than the greedy algorithm and much approaches the optimal results. © 2014 IEEE.
Language eng
DOI 10.1109/ICCNC.2014.6785333
Field of Research 080503 Networking and Communications
Socio Economic Objective 890101 Fixed Line Data Networks and Services
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072606

Document type: Conference Paper
Collection: School of Information Technology
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