A study of resource management for fault-tolerant and energy efficient cloud datacenter

Dong Ki Kang; Fawaz Alhazemi; Seong Hwan Kim; Chan Hyun Youn

doi:10.1007/978-3-319-38904-2_3

A study of resource management for fault-tolerant and energy efficient cloud datacenter

Dong Ki Kang
, Fawaz Alhazemi
, Seong Hwan Kim
, Chan Hyun Youn^*

^*Corresponding author for this work

Department of Computer Science & Artificial Intelligence

Korea Advanced Institute of Science and Technology

Research output: Contribution to conference › Conference paper › peer-review

Abstract

In cloud computing datacenters, the reliability and energy consumption have been studied as main challenges to achieve the reputation of cloud service users and the cost efficiency. To overcome the system fault of the datacenter, VM request load has to be distributed on multiple hosts to minimize the effect to the running cloud applications. Moreover, Dynamic Right Sizing (DRS) which adjusts the number of active hosts and sleep hosts in order to reduce the energy consumption in view of the resource usage cost. To do this, we propose the resource management scheme based on the portfolio diversification which has been studied in economics. The proposed scheme is able to reduce the fault of application significantly by finding the near Pareto optimal solution through Simulated Annealing approach We show the efficiency of our proposed scheme through the simple analytical results.

Original language	English
Title of host publication	Cloud Computing - 6th International Conference, CloudComp 2015
Editors	Yin Zhang, Chan-Hyun Youn, Limei Peng
Publisher	Springer Verlag
Pages	22-29
Number of pages	8
ISBN (Print)	9783319389035
DOIs	https://doi.org/10.1007/978-3-319-38904-2_3
State	Published - 2016
Event	6th International Conference on Cloud Computing, CloudComp 2015 - Daejeon, Korea, Republic of Duration: 2015.10.28 → 2015.10.29

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	167
ISSN (Print)	1867-8211

Conference

Conference	6th International Conference on Cloud Computing, CloudComp 2015
Country/Territory	Korea, Republic of
City	Daejeon
Period	15.10.28 → 15.10.29

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Cloud computing
Energy efficient
Fault-tolerant
Load balancing
Resource management

Access to Document

10.1007/978-3-319-38904-2_3

Cite this

Kang, D. K., Alhazemi, F., Kim, S. H., & Youn, C. H. (2016). A study of resource management for fault-tolerant and energy efficient cloud datacenter. In Y. Zhang, C.-H. Youn, & L. Peng (Eds.), Cloud Computing - 6th International Conference, CloudComp 2015 (pp. 22-29). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 167). Springer Verlag. https://doi.org/10.1007/978-3-319-38904-2_3

Kang, Dong Ki ; Alhazemi, Fawaz ; Kim, Seong Hwan et al. / A study of resource management for fault-tolerant and energy efficient cloud datacenter. Cloud Computing - 6th International Conference, CloudComp 2015. editor / Yin Zhang ; Chan-Hyun Youn ; Limei Peng. Springer Verlag, 2016. pp. 22-29 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{1838da95fc4e416bb054220515ae1d4d,

title = "A study of resource management for fault-tolerant and energy efficient cloud datacenter",

abstract = "In cloud computing datacenters, the reliability and energy consumption have been studied as main challenges to achieve the reputation of cloud service users and the cost efficiency. To overcome the system fault of the datacenter, VM request load has to be distributed on multiple hosts to minimize the effect to the running cloud applications. Moreover, Dynamic Right Sizing (DRS) which adjusts the number of active hosts and sleep hosts in order to reduce the energy consumption in view of the resource usage cost. To do this, we propose the resource management scheme based on the portfolio diversification which has been studied in economics. The proposed scheme is able to reduce the fault of application significantly by finding the near Pareto optimal solution through Simulated Annealing approach We show the efficiency of our proposed scheme through the simple analytical results.",

keywords = "Cloud computing, Energy efficient, Fault-tolerant, Load balancing, Resource management",

author = "Kang, \{Dong Ki\} and Fawaz Alhazemi and Kim, \{Seong Hwan\} and Youn, \{Chan Hyun\}",

note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.; 6th International Conference on Cloud Computing, CloudComp 2015 ; Conference date: 28-10-2015 Through 29-10-2015",

year = "2016",

doi = "10.1007/978-3-319-38904-2\_3",

language = "English",

isbn = "9783319389035",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

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Kang, DK, Alhazemi, F, Kim, SH & Youn, CH 2016, A study of resource management for fault-tolerant and energy efficient cloud datacenter. in Y Zhang, C-H Youn & L Peng (eds), Cloud Computing - 6th International Conference, CloudComp 2015. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 167, Springer Verlag, pp. 22-29, 6th International Conference on Cloud Computing, CloudComp 2015, Daejeon, Korea, Republic of, 15.10.28. https://doi.org/10.1007/978-3-319-38904-2_3

A study of resource management for fault-tolerant and energy efficient cloud datacenter. / Kang, Dong Ki; Alhazemi, Fawaz; Kim, Seong Hwan et al.
Cloud Computing - 6th International Conference, CloudComp 2015. ed. / Yin Zhang; Chan-Hyun Youn; Limei Peng. Springer Verlag, 2016. p. 22-29 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 167).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - A study of resource management for fault-tolerant and energy efficient cloud datacenter

AU - Kang, Dong Ki

AU - Alhazemi, Fawaz

AU - Kim, Seong Hwan

AU - Youn, Chan Hyun

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.

PY - 2016

Y1 - 2016

N2 - In cloud computing datacenters, the reliability and energy consumption have been studied as main challenges to achieve the reputation of cloud service users and the cost efficiency. To overcome the system fault of the datacenter, VM request load has to be distributed on multiple hosts to minimize the effect to the running cloud applications. Moreover, Dynamic Right Sizing (DRS) which adjusts the number of active hosts and sleep hosts in order to reduce the energy consumption in view of the resource usage cost. To do this, we propose the resource management scheme based on the portfolio diversification which has been studied in economics. The proposed scheme is able to reduce the fault of application significantly by finding the near Pareto optimal solution through Simulated Annealing approach We show the efficiency of our proposed scheme through the simple analytical results.

AB - In cloud computing datacenters, the reliability and energy consumption have been studied as main challenges to achieve the reputation of cloud service users and the cost efficiency. To overcome the system fault of the datacenter, VM request load has to be distributed on multiple hosts to minimize the effect to the running cloud applications. Moreover, Dynamic Right Sizing (DRS) which adjusts the number of active hosts and sleep hosts in order to reduce the energy consumption in view of the resource usage cost. To do this, we propose the resource management scheme based on the portfolio diversification which has been studied in economics. The proposed scheme is able to reduce the fault of application significantly by finding the near Pareto optimal solution through Simulated Annealing approach We show the efficiency of our proposed scheme through the simple analytical results.

KW - Cloud computing

KW - Energy efficient

KW - Fault-tolerant

KW - Load balancing

KW - Resource management

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DO - 10.1007/978-3-319-38904-2_3

M3 - Conference paper

AN - SCOPUS:84969217652

SN - 9783319389035

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 22

EP - 29

BT - Cloud Computing - 6th International Conference, CloudComp 2015

A2 - Zhang, Yin

A2 - Youn, Chan-Hyun

A2 - Peng, Limei

PB - Springer Verlag

T2 - 6th International Conference on Cloud Computing, CloudComp 2015

Y2 - 28 October 2015 through 29 October 2015

ER -

Kang DK, Alhazemi F, Kim SH, Youn CH. A study of resource management for fault-tolerant and energy efficient cloud datacenter. In Zhang Y, Youn CH, Peng L, editors, Cloud Computing - 6th International Conference, CloudComp 2015. Springer Verlag. 2016. p. 22-29. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-38904-2_3

A study of resource management for fault-tolerant and energy efficient cloud datacenter

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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