Energy-efficient planning of QoS-constrained virtual-cluster embedding in data centres

Xiangming Dai; Ying Wang; Jason Min Wang; Brahim Bensaou

doi:10.1109/CloudNet.2015.7335320

Energy-efficient planning of QoS-constrained virtual-cluster embedding in data centres

Xiangming Dai, Ying Wang, Jason Min Wang, Brahim Bensaou

Department of Computer Science and Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

4 Citations (Scopus)

Abstract

It is crucial for cloud service providers to fulfil their tenants targeted quality of service (QoS) requirements, yet, providing such QoS in an energy efficient manner is of paramount importance to optimizing operational costs. In this paper, we study the energy efficiency of virtual cluster embedding in data centers. More specifically, we focus on designing fast algorithms to place in an energy efficient manner virtual clusters, including virtual machines, virtual switches and virtual topology with bandwidth requirements. We first model the problem as an integer programming problem, and prove its NP hardness, then based on a relaxed version of this model, we propose an approximate algorithm to solve it efficiently.

Original language	English
Title of host publication	2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	267-272
Number of pages	6
ISBN (Electronic)	9781467395014
DOIs	https://doi.org/10.1109/CloudNet.2015.7335320
Publication status	Published - 20 Nov 2015
Event	4th IEEE International Conference on Cloud Networking, CloudNet 2015 - Falls, Canada Duration: 5 Oct 2015 → 7 Oct 2015

Publication series

Name	2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015

Conference

Conference	4th IEEE International Conference on Cloud Networking, CloudNet 2015
Country/Territory	Canada
City	Falls
Period	5/10/15 → 7/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.1109/CloudNet.2015.7335320

Cite this

Dai, X., Wang, Y., Wang, J. M., & Bensaou, B. (2015). Energy-efficient planning of QoS-constrained virtual-cluster embedding in data centres. In 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015 (pp. 267-272). Article 7335320 (2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CloudNet.2015.7335320

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author = "Xiangming Dai and Ying Wang and Wang, \{Jason Min\} and Brahim Bensaou",

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Dai, X, Wang, Y, Wang, JM & Bensaou, B 2015, Energy-efficient planning of QoS-constrained virtual-cluster embedding in data centres. in 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015., 7335320, 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015, Institute of Electrical and Electronics Engineers Inc., pp. 267-272, 4th IEEE International Conference on Cloud Networking, CloudNet 2015, Falls, Canada, 5/10/15. https://doi.org/10.1109/CloudNet.2015.7335320

Energy-efficient planning of QoS-constrained virtual-cluster embedding in data centres. / Dai, Xiangming; Wang, Ying; Wang, Jason Min et al.
2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 267-272 7335320 (2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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N2 - It is crucial for cloud service providers to fulfil their tenants targeted quality of service (QoS) requirements, yet, providing such QoS in an energy efficient manner is of paramount importance to optimizing operational costs. In this paper, we study the energy efficiency of virtual cluster embedding in data centers. More specifically, we focus on designing fast algorithms to place in an energy efficient manner virtual clusters, including virtual machines, virtual switches and virtual topology with bandwidth requirements. We first model the problem as an integer programming problem, and prove its NP hardness, then based on a relaxed version of this model, we propose an approximate algorithm to solve it efficiently.

AB - It is crucial for cloud service providers to fulfil their tenants targeted quality of service (QoS) requirements, yet, providing such QoS in an energy efficient manner is of paramount importance to optimizing operational costs. In this paper, we study the energy efficiency of virtual cluster embedding in data centers. More specifically, we focus on designing fast algorithms to place in an energy efficient manner virtual clusters, including virtual machines, virtual switches and virtual topology with bandwidth requirements. We first model the problem as an integer programming problem, and prove its NP hardness, then based on a relaxed version of this model, we propose an approximate algorithm to solve it efficiently.

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Dai X, Wang Y, Wang JM, Bensaou B. Energy-efficient planning of QoS-constrained virtual-cluster embedding in data centres. In 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 267-272. 7335320. (2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015). doi: 10.1109/CloudNet.2015.7335320

Energy-efficient planning of QoS-constrained virtual-cluster embedding in data centres

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Bibliographical note

UN SDGs

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