Cloud data centers revenue maximization using server consolidation: Modeling and evaluation

Mohammad Wardat; Mahmoud Al-Ayyoub; Yaser Jararweh; Abdallah A. Khreishah

doi:10.1109/INFCOMW.2018.8406968

Cloud data centers revenue maximization using server consolidation: Modeling and evaluation

Mohammad Wardat
, Mahmoud Al-Ayyoub
, Yaser Jararweh
, Abdallah A. Khreishah

Iowa State University
Jordan University of Science and Technology
New Jersey Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Cloud based data centers (DC) offering of virtually unlimited processing and storage capabilities faced a critical downside related to the enormous power consumption requirements. Powering and cooling DC has considerable share of the total DC operational costs in addition to the carbon tax. Server consolidation has been proposed as one viable solution that guarantees efficient power usage while maintaining quality of service requirements for the DC's services. This approach is simply about turning on and off the DC resources based on the incoming workload. In this paper, we are extending our previous work on expansion strategies for cloud services providers by considering the server consolidation technique in order to maximize the DC revenues while maintaining their service quality and reducing their carbon footprints.

Original language	English
Title of host publication	INFOCOM 2018 - IEEE Conference on Computer Communications Workshops
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	172-177
Number of pages	6
ISBN (Electronic)	9781538659793
DOIs	https://doi.org/10.1109/INFCOMW.2018.8406968
State	Published - 6 Jul 2018
Externally published	Yes
Event	2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018 - Honolulu, United States Duration: 15 Apr 2018 → 19 Apr 2018

Publication series

Name	INFOCOM 2018 - IEEE Conference on Computer Communications Workshops

Conference

Conference	2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018
Country/Territory	United States
City	Honolulu
Period	15/04/18 → 19/04/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action

Access to Document

10.1109/INFCOMW.2018.8406968

Cite this

Wardat, M., Al-Ayyoub, M., Jararweh, Y., & Khreishah, A. A. (2018). Cloud data centers revenue maximization using server consolidation: Modeling and evaluation. In INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (pp. 172-177). (INFOCOM 2018 - IEEE Conference on Computer Communications Workshops). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFCOMW.2018.8406968

Wardat, Mohammad ; Al-Ayyoub, Mahmoud ; Jararweh, Yaser et al. / Cloud data centers revenue maximization using server consolidation : Modeling and evaluation. INFOCOM 2018 - IEEE Conference on Computer Communications Workshops. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 172-177 (INFOCOM 2018 - IEEE Conference on Computer Communications Workshops).

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abstract = "Cloud based data centers (DC) offering of virtually unlimited processing and storage capabilities faced a critical downside related to the enormous power consumption requirements. Powering and cooling DC has considerable share of the total DC operational costs in addition to the carbon tax. Server consolidation has been proposed as one viable solution that guarantees efficient power usage while maintaining quality of service requirements for the DC's services. This approach is simply about turning on and off the DC resources based on the incoming workload. In this paper, we are extending our previous work on expansion strategies for cloud services providers by considering the server consolidation technique in order to maximize the DC revenues while maintaining their service quality and reducing their carbon footprints.",

author = "Mohammad Wardat and Mahmoud Al-Ayyoub and Yaser Jararweh and Khreishah, \{Abdallah A.\}",

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Wardat, M, Al-Ayyoub, M, Jararweh, Y & Khreishah, AA 2018, Cloud data centers revenue maximization using server consolidation: Modeling and evaluation. in INFOCOM 2018 - IEEE Conference on Computer Communications Workshops. INFOCOM 2018 - IEEE Conference on Computer Communications Workshops, Institute of Electrical and Electronics Engineers Inc., pp. 172-177, 2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018, Honolulu, United States, 15/04/18. https://doi.org/10.1109/INFCOMW.2018.8406968

Cloud data centers revenue maximization using server consolidation: Modeling and evaluation. / Wardat, Mohammad; Al-Ayyoub, Mahmoud; Jararweh, Yaser et al.
INFOCOM 2018 - IEEE Conference on Computer Communications Workshops. Institute of Electrical and Electronics Engineers Inc., 2018. p. 172-177 (INFOCOM 2018 - IEEE Conference on Computer Communications Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Wardat M, Al-Ayyoub M, Jararweh Y, Khreishah AA. Cloud data centers revenue maximization using server consolidation: Modeling and evaluation. In INFOCOM 2018 - IEEE Conference on Computer Communications Workshops. Institute of Electrical and Electronics Engineers Inc. 2018. p. 172-177. (INFOCOM 2018 - IEEE Conference on Computer Communications Workshops). doi: 10.1109/INFCOMW.2018.8406968

Cloud data centers revenue maximization using server consolidation: Modeling and evaluation

Abstract

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UN SDGs

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