A balanced cloudlet management method for wireless metropolitan area networks

Xiaolong Xu; Yuhao Chen; Lianyong Qi; Jing He; Xuyun Zhang

doi:10.1007/978-3-030-12971-2_4

A balanced cloudlet management method for wireless metropolitan area networks

Xiaolong Xu, Yuhao Chen, Lianyong Qi, Jing He, Xuyun Zhang

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

Abstract

With the rapid development of wireless communication technology, cloudlet-based wireless metropolitan area network, which provides people with more convenient network services, has become an effiective paradigm to meet the growing demand for requirements of wireless cloud computing. Currently, the energy consumption of cloudlets can be reduced by migrating tasks, but how to jointly optimize the time consumption and energy consumption in the process of migrations is still a significant problem. In this paper, a balanced cloudlet management method, named BCM, is proposed to address the above challenge. Technically, the Simple Additive Weighting (SAW) and Multiple Criteria Decision Making (MCDM) techniques are applied to optimize virtual machine scheduling strategy. Finally, simulation results demonstrate the effectiveness of our proposed method.

Original language	English
Title of host publication	Testbeds and Research Infrastructures for the Development of Networks and Communities
Subtitle of host publication	13th EAI International Conference, TridentCom 2018, Proceedings
Editors	Honghao Gao, Yuyu Yin, Xiaoxian Yang, Huaikou Miao
Place of Publication	Cham
Publisher	Springer, Springer Nature
Pages	62-75
Number of pages	14
ISBN (Electronic)	9783030129712
ISBN (Print)	9783030129705
DOIs	https://doi.org/10.1007/978-3-030-12971-2_4
Publication status	Published - 2018
Externally published	Yes
Event	13th EAI International Conference, TridentCom 2018 - Shanghai, China Duration: 1 Dec 2018 → 3 Dec 2018

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Publisher	Springer Nature
Volume	270
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	13th EAI International Conference, TridentCom 2018
Country	China
City	Shanghai
Period	1/12/18 → 3/12/18

Keywords

Cloudlet
WMAN
VM migration
Energy consumption
Time consumption

Access to Document

10.1007/978-3-030-12971-2_4

Link to publication in Scopus

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Cite this

Xu, X., Chen, Y., Qi, L., He, J., & Zhang, X. (2018). A balanced cloudlet management method for wireless metropolitan area networks. In H. Gao, Y. Yin, X. Yang, & H. Miao (Eds.), Testbeds and Research Infrastructures for the Development of Networks and Communities: 13th EAI International Conference, TridentCom 2018, Proceedings (pp. 62-75). (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 270). Springer, Springer Nature. https://doi.org/10.1007/978-3-030-12971-2_4

Xu, Xiaolong ; Chen, Yuhao ; Qi, Lianyong ; He, Jing ; Zhang, Xuyun. / A balanced cloudlet management method for wireless metropolitan area networks. Testbeds and Research Infrastructures for the Development of Networks and Communities: 13th EAI International Conference, TridentCom 2018, Proceedings. editor / Honghao Gao ; Yuyu Yin ; Xiaoxian Yang ; Huaikou Miao. Cham : Springer, Springer Nature, 2018. pp. 62-75 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering).

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title = "A balanced cloudlet management method for wireless metropolitan area networks",

abstract = "With the rapid development of wireless communication technology, cloudlet-based wireless metropolitan area network, which provides people with more convenient network services, has become an effiective paradigm to meet the growing demand for requirements of wireless cloud computing. Currently, the energy consumption of cloudlets can be reduced by migrating tasks, but how to jointly optimize the time consumption and energy consumption in the process of migrations is still a significant problem. In this paper, a balanced cloudlet management method, named BCM, is proposed to address the above challenge. Technically, the Simple Additive Weighting (SAW) and Multiple Criteria Decision Making (MCDM) techniques are applied to optimize virtual machine scheduling strategy. Finally, simulation results demonstrate the effectiveness of our proposed method.",

keywords = "Cloudlet, WMAN, VM migration, Energy consumption, Time consumption",

author = "Xiaolong Xu and Yuhao Chen and Lianyong Qi and Jing He and Xuyun Zhang",

year = "2018",

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Xu, X, Chen, Y, Qi, L, He, J & Zhang, X 2018, A balanced cloudlet management method for wireless metropolitan area networks. in H Gao, Y Yin, X Yang & H Miao (eds), Testbeds and Research Infrastructures for the Development of Networks and Communities: 13th EAI International Conference, TridentCom 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 270, Springer, Springer Nature, Cham, pp. 62-75, 13th EAI International Conference, TridentCom 2018, Shanghai, China, 1/12/18. https://doi.org/10.1007/978-3-030-12971-2_4

A balanced cloudlet management method for wireless metropolitan area networks. / Xu, Xiaolong; Chen, Yuhao; Qi, Lianyong; He, Jing; Zhang, Xuyun.

Testbeds and Research Infrastructures for the Development of Networks and Communities: 13th EAI International Conference, TridentCom 2018, Proceedings. ed. / Honghao Gao; Yuyu Yin; Xiaoxian Yang; Huaikou Miao. Cham : Springer, Springer Nature, 2018. p. 62-75 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 270).

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

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AU - Xu, Xiaolong

AU - Chen, Yuhao

AU - Qi, Lianyong

AU - He, Jing

AU - Zhang, Xuyun

PY - 2018

Y1 - 2018

N2 - With the rapid development of wireless communication technology, cloudlet-based wireless metropolitan area network, which provides people with more convenient network services, has become an effiective paradigm to meet the growing demand for requirements of wireless cloud computing. Currently, the energy consumption of cloudlets can be reduced by migrating tasks, but how to jointly optimize the time consumption and energy consumption in the process of migrations is still a significant problem. In this paper, a balanced cloudlet management method, named BCM, is proposed to address the above challenge. Technically, the Simple Additive Weighting (SAW) and Multiple Criteria Decision Making (MCDM) techniques are applied to optimize virtual machine scheduling strategy. Finally, simulation results demonstrate the effectiveness of our proposed method.

AB - With the rapid development of wireless communication technology, cloudlet-based wireless metropolitan area network, which provides people with more convenient network services, has become an effiective paradigm to meet the growing demand for requirements of wireless cloud computing. Currently, the energy consumption of cloudlets can be reduced by migrating tasks, but how to jointly optimize the time consumption and energy consumption in the process of migrations is still a significant problem. In this paper, a balanced cloudlet management method, named BCM, is proposed to address the above challenge. Technically, the Simple Additive Weighting (SAW) and Multiple Criteria Decision Making (MCDM) techniques are applied to optimize virtual machine scheduling strategy. Finally, simulation results demonstrate the effectiveness of our proposed method.

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KW - Energy consumption

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T2 - 13th EAI International Conference, TridentCom 2018

Y2 - 1 December 2018 through 3 December 2018

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Xu X, Chen Y, Qi L, He J, Zhang X. A balanced cloudlet management method for wireless metropolitan area networks. In Gao H, Yin Y, Yang X, Miao H, editors, Testbeds and Research Infrastructures for the Development of Networks and Communities: 13th EAI International Conference, TridentCom 2018, Proceedings. Cham: Springer, Springer Nature. 2018. p. 62-75. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering). https://doi.org/10.1007/978-3-030-12971-2_4