CACEV: A cost and carbon emission-efficient virtual machine placement method for green distributed clouds

Ehsan Ahvar; Shohreh Ahvar; Zoltan Adam Mann; Noel Crespi; Joaquin Garcia-Alfaro; Roch Glitho

doi:10.1109/SCC.2016.43

CACEV: A cost and carbon emission-efficient virtual machine placement method for green distributed clouds

Ehsan Ahvar
, Shohreh Ahvar
, Zoltan Adam Mann
, Noel Crespi
, Joaquin Garcia-Alfaro
, Roch Glitho

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

Abstract

Distributed clouds have recently attracted many cloud providers and researchers as a topic of intensive interest. High energy costs and carbon emissions are two significant problems in distributed clouds. Due to the geographic distribution of data centers (DCs), there are a variety of resources, energy prices and carbon emission rates to consider in a distributed cloud, which makes the placement of virtual machines (VMs) for cost and carbon efficiency even more critical than in centralized clouds. Most previous work in this field investigated either optimizing cost without considering the amount of produced carbon or vice versa. This paper presents a cost and carbon emission-efficient VM placement method (CACEV) in distributed clouds. CACEV considers geographically varying energy prices and carbon emission rates as well as optimizing both network and server resources at the same time. By combining prediction-based A∗ algorithm with Fuzzy Sets technique, CACEV makes an intelligent decision to optimize cost and carbon emission for providers. Simulation results show the applicability and performance of CACEV.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016
Editors	Jia Zhang, John A. Miller, Xiaofei Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	275-282
Number of pages	8
ISBN (Electronic)	9781509026289
DOIs	https://doi.org/10.1109/SCC.2016.43
Publication status	Published - 31 Aug 2016
Externally published	Yes
Event	2016 IEEE International Conference on Services Computing, SCC 2016 - San Francisco, United States Duration: 27 Jun 2016 → 2 Jul 2016

Publication series

Name	Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016

Conference

Conference	2016 IEEE International Conference on Services Computing, SCC 2016
Country/Territory	United States
City	San Francisco
Period	27/06/16 → 2/07/16

Keywords

Carbon emission
Cloud computing
Cost
Distributed cloud
Energy
VM placement

Access to Document

10.1109/SCC.2016.43

Cite this

Ahvar, E., Ahvar, S., Mann, Z. A., Crespi, N., Garcia-Alfaro, J., & Glitho, R. (2016). CACEV: A cost and carbon emission-efficient virtual machine placement method for green distributed clouds. In J. Zhang, J. A. Miller, & X. Xu (Eds.), Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016 (pp. 275-282). Article 7557463 (Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCC.2016.43

Ahvar, Ehsan ; Ahvar, Shohreh ; Mann, Zoltan Adam et al. / CACEV : A cost and carbon emission-efficient virtual machine placement method for green distributed clouds. Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016. editor / Jia Zhang ; John A. Miller ; Xiaofei Xu. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 275-282 (Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016).

@inproceedings{246b1fe2272e408a9aec9e769384bc4c,

title = "CACEV: A cost and carbon emission-efficient virtual machine placement method for green distributed clouds",

abstract = "Distributed clouds have recently attracted many cloud providers and researchers as a topic of intensive interest. High energy costs and carbon emissions are two significant problems in distributed clouds. Due to the geographic distribution of data centers (DCs), there are a variety of resources, energy prices and carbon emission rates to consider in a distributed cloud, which makes the placement of virtual machines (VMs) for cost and carbon efficiency even more critical than in centralized clouds. Most previous work in this field investigated either optimizing cost without considering the amount of produced carbon or vice versa. This paper presents a cost and carbon emission-efficient VM placement method (CACEV) in distributed clouds. CACEV considers geographically varying energy prices and carbon emission rates as well as optimizing both network and server resources at the same time. By combining prediction-based A∗ algorithm with Fuzzy Sets technique, CACEV makes an intelligent decision to optimize cost and carbon emission for providers. Simulation results show the applicability and performance of CACEV.",

keywords = "Carbon emission, Cloud computing, Cost, Distributed cloud, Energy, VM placement",

author = "Ehsan Ahvar and Shohreh Ahvar and Mann, \{Zoltan Adam\} and Noel Crespi and Joaquin Garcia-Alfaro and Roch Glitho",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Services Computing, SCC 2016 ; Conference date: 27-06-2016 Through 02-07-2016",

year = "2016",

month = aug,

day = "31",

doi = "10.1109/SCC.2016.43",

language = "English",

series = "Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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editor = "Jia Zhang and Miller, \{John A.\} and Xiaofei Xu",

booktitle = "Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016",

}

Ahvar, E, Ahvar, S, Mann, ZA, Crespi, N , Garcia-Alfaro, J & Glitho, R 2016, CACEV: A cost and carbon emission-efficient virtual machine placement method for green distributed clouds. in J Zhang, JA Miller & X Xu (eds), Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016., 7557463, Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 275-282, 2016 IEEE International Conference on Services Computing, SCC 2016, San Francisco, United States, 27/06/16. https://doi.org/10.1109/SCC.2016.43

CACEV: A cost and carbon emission-efficient virtual machine placement method for green distributed clouds. / Ahvar, Ehsan; Ahvar, Shohreh; Mann, Zoltan Adam et al.
Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016. ed. / Jia Zhang; John A. Miller; Xiaofei Xu. Institute of Electrical and Electronics Engineers Inc., 2016. p. 275-282 7557463 (Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016).

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

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T1 - CACEV

T2 - 2016 IEEE International Conference on Services Computing, SCC 2016

AU - Ahvar, Ehsan

AU - Ahvar, Shohreh

AU - Mann, Zoltan Adam

AU - Crespi, Noel

AU - Garcia-Alfaro, Joaquin

AU - Glitho, Roch

PY - 2016/8/31

Y1 - 2016/8/31

N2 - Distributed clouds have recently attracted many cloud providers and researchers as a topic of intensive interest. High energy costs and carbon emissions are two significant problems in distributed clouds. Due to the geographic distribution of data centers (DCs), there are a variety of resources, energy prices and carbon emission rates to consider in a distributed cloud, which makes the placement of virtual machines (VMs) for cost and carbon efficiency even more critical than in centralized clouds. Most previous work in this field investigated either optimizing cost without considering the amount of produced carbon or vice versa. This paper presents a cost and carbon emission-efficient VM placement method (CACEV) in distributed clouds. CACEV considers geographically varying energy prices and carbon emission rates as well as optimizing both network and server resources at the same time. By combining prediction-based A∗ algorithm with Fuzzy Sets technique, CACEV makes an intelligent decision to optimize cost and carbon emission for providers. Simulation results show the applicability and performance of CACEV.

AB - Distributed clouds have recently attracted many cloud providers and researchers as a topic of intensive interest. High energy costs and carbon emissions are two significant problems in distributed clouds. Due to the geographic distribution of data centers (DCs), there are a variety of resources, energy prices and carbon emission rates to consider in a distributed cloud, which makes the placement of virtual machines (VMs) for cost and carbon efficiency even more critical than in centralized clouds. Most previous work in this field investigated either optimizing cost without considering the amount of produced carbon or vice versa. This paper presents a cost and carbon emission-efficient VM placement method (CACEV) in distributed clouds. CACEV considers geographically varying energy prices and carbon emission rates as well as optimizing both network and server resources at the same time. By combining prediction-based A∗ algorithm with Fuzzy Sets technique, CACEV makes an intelligent decision to optimize cost and carbon emission for providers. Simulation results show the applicability and performance of CACEV.

KW - Carbon emission

KW - Cloud computing

KW - Cost

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KW - VM placement

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DO - 10.1109/SCC.2016.43

M3 - Conference contribution

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BT - Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016

A2 - Zhang, Jia

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A2 - Xu, Xiaofei

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 27 June 2016 through 2 July 2016

ER -

Ahvar E, Ahvar S, Mann ZA, Crespi N , Garcia-Alfaro J, Glitho R. CACEV: A cost and carbon emission-efficient virtual machine placement method for green distributed clouds. In Zhang J, Miller JA, Xu X, editors, Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 275-282. 7557463. (Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016). doi: 10.1109/SCC.2016.43

CACEV: A cost and carbon emission-efficient virtual machine placement method for green distributed clouds

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Keywords

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