A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing

Xiaolong Xu; Qingxiang Liu; Lianyong Qi; Yuan Yuan; Wanchun Dou; Alex X. Liu

doi:10.1109/BDS/HPSC/IDS18.2018.00030

A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing

Xiaolong Xu
, Qingxiang Liu
, Lianyong Qi
, Yuan Yuan
, Wanchun Dou
, Alex X. Liu

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

28 Scopus citations

Abstract

Fog computing is emerging as a powerful and popular computing paradigm, which extends cloud computing paradigm to enable the service execution in the edge network. The mobile and IoT (Internet of Things) applications could choose the computing nodes in both fog and cloud for resource provisioning. Generally, load balancing is one of the key factors to achieve resource efficiency and avoid bottleneck, overloaded and low-load resource usage. However, it is still a challenge to realize the load balancing for the computing nodes in the fog-cloud environment. In view of this challenge, a Virtual Machine (VM) scheduling method for load balancing in fog-cloud computing is proposed in this paper. Technically, a resource model and a load balancing model are analyzed first. Then a heuristic VM scheduling method is designed through VM placement and dynamic VM scheduling by leveraging the VM live migration technique. Consequentially, experimental evaluation and comparison analysis are conducted to validate the efficiency and effectiveness of our proposed method.

Original language	English
Title of host publication	Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	83-88
Number of pages	6
ISBN (Electronic)	9781538643990
DOIs	https://doi.org/10.1109/BDS/HPSC/IDS18.2018.00030
State	Published - 28 Nov 2018
Externally published	Yes
Event	4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018 - Omaha, United States Duration: 3 May 2018 → 5 May 2018

Publication series

Name	Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018

Conference

Conference	4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018
Country/Territory	United States
City	Omaha
Period	3/05/18 → 5/05/18

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

Keywords

VM placement
VM scheduling
cloud
fog computing
load balancing

Access to Document

10.1109/BDS/HPSC/IDS18.2018.00030

Cite this

Xu, X., Liu, Q., Qi, L., Yuan, Y., Dou, W., & Liu, A. X. (2018). A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing. In Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018 (pp. 83-88). Article 8552288 (Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BDS/HPSC/IDS18.2018.00030

Xu, Xiaolong ; Liu, Qingxiang ; Qi, Lianyong et al. / A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing. Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 83-88 (Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018).

@inproceedings{676f51597fe44057a7441992abe9b29c,

title = "A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing",

abstract = "Fog computing is emerging as a powerful and popular computing paradigm, which extends cloud computing paradigm to enable the service execution in the edge network. The mobile and IoT (Internet of Things) applications could choose the computing nodes in both fog and cloud for resource provisioning. Generally, load balancing is one of the key factors to achieve resource efficiency and avoid bottleneck, overloaded and low-load resource usage. However, it is still a challenge to realize the load balancing for the computing nodes in the fog-cloud environment. In view of this challenge, a Virtual Machine (VM) scheduling method for load balancing in fog-cloud computing is proposed in this paper. Technically, a resource model and a load balancing model are analyzed first. Then a heuristic VM scheduling method is designed through VM placement and dynamic VM scheduling by leveraging the VM live migration technique. Consequentially, experimental evaluation and comparison analysis are conducted to validate the efficiency and effectiveness of our proposed method.",

keywords = "VM placement, VM scheduling, cloud, fog computing, load balancing",

author = "Xiaolong Xu and Qingxiang Liu and Lianyong Qi and Yuan Yuan and Wanchun Dou and Liu, \{Alex X.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018 ; Conference date: 03-05-2018 Through 05-05-2018",

year = "2018",

month = nov,

day = "28",

doi = "10.1109/BDS/HPSC/IDS18.2018.00030",

language = "英语",

series = "Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018",

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

pages = "83--88",

booktitle = "Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018",

}

Xu, X, Liu, Q, Qi, L, Yuan, Y, Dou, W & Liu, AX 2018, A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing. in Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018., 8552288, Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 83-88, 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018, Omaha, United States, 3/05/18. https://doi.org/10.1109/BDS/HPSC/IDS18.2018.00030

A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing. / Xu, Xiaolong; Liu, Qingxiang; Qi, Lianyong et al.
Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 83-88 8552288 (Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018).

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

TY - GEN

T1 - A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing

AU - Xu, Xiaolong

AU - Liu, Qingxiang

AU - Qi, Lianyong

AU - Yuan, Yuan

AU - Dou, Wanchun

AU - Liu, Alex X.

PY - 2018/11/28

Y1 - 2018/11/28

N2 - Fog computing is emerging as a powerful and popular computing paradigm, which extends cloud computing paradigm to enable the service execution in the edge network. The mobile and IoT (Internet of Things) applications could choose the computing nodes in both fog and cloud for resource provisioning. Generally, load balancing is one of the key factors to achieve resource efficiency and avoid bottleneck, overloaded and low-load resource usage. However, it is still a challenge to realize the load balancing for the computing nodes in the fog-cloud environment. In view of this challenge, a Virtual Machine (VM) scheduling method for load balancing in fog-cloud computing is proposed in this paper. Technically, a resource model and a load balancing model are analyzed first. Then a heuristic VM scheduling method is designed through VM placement and dynamic VM scheduling by leveraging the VM live migration technique. Consequentially, experimental evaluation and comparison analysis are conducted to validate the efficiency and effectiveness of our proposed method.

AB - Fog computing is emerging as a powerful and popular computing paradigm, which extends cloud computing paradigm to enable the service execution in the edge network. The mobile and IoT (Internet of Things) applications could choose the computing nodes in both fog and cloud for resource provisioning. Generally, load balancing is one of the key factors to achieve resource efficiency and avoid bottleneck, overloaded and low-load resource usage. However, it is still a challenge to realize the load balancing for the computing nodes in the fog-cloud environment. In view of this challenge, a Virtual Machine (VM) scheduling method for load balancing in fog-cloud computing is proposed in this paper. Technically, a resource model and a load balancing model are analyzed first. Then a heuristic VM scheduling method is designed through VM placement and dynamic VM scheduling by leveraging the VM live migration technique. Consequentially, experimental evaluation and comparison analysis are conducted to validate the efficiency and effectiveness of our proposed method.

KW - VM placement

KW - VM scheduling

KW - cloud

KW - fog computing

KW - load balancing

UR - https://www.scopus.com/pages/publications/85059772285

U2 - 10.1109/BDS/HPSC/IDS18.2018.00030

DO - 10.1109/BDS/HPSC/IDS18.2018.00030

M3 - 会议稿件

AN - SCOPUS:85059772285

T3 - Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018

SP - 83

EP - 88

BT - Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018

Y2 - 3 May 2018 through 5 May 2018

ER -

Xu X, Liu Q, Qi L, Yuan Y, Dou W, Liu AX. A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing. In Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 83-88. 8552288. (Proceedings - 4th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2018, 4th IEEE International Conference on High Performance and Smart Computing, HPSC 2018 and 3rd IEEE International Conference on Intelligent Data and Security, IDS 2018). doi: 10.1109/BDS/HPSC/IDS18.2018.00030

A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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