Load aware management of cloudlets for a wireless area metropolitan network

Xiaolong Xu; Md Zakirul Alam Bhuiyan; Lianyong Qi; Xuyun Zhang; Wanchun Dou

doi:10.1109/SmartWorld.2018.00223

Load aware management of cloudlets for a wireless area metropolitan network

Xiaolong Xu, Md Zakirul Alam Bhuiyan, Lianyong Qi, Xuyun Zhang, Wanchun Dou^*

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Wireless metropolitan area network (WMAN) emerges to be popular and powerful to provide abundant access services for mobile devices in the construction of smart city. To improve the quality of experience (QoE) for mobile users in WMAN, cloudlet is treated as a promising paradigm which provides potential extension of the limited resources to the mobile devices. However, it is still a challenge to realize the dynamic load-balance distribution of the performed mobile applications for cloudlet management in WMAN. In view of this challenge, a Load-aware Resource Scheduling method, named LRS, is designed to achieve the goal of load balancing. Technically, we present the load balance analysis for the cloudlets in WMAN first. Then a corresponding virtual machine (VM) scheduling method is developed to adjust the resource provision dynamically by leveraging the VM live migration technique. Finally, extensive experimental evaluations are conducted to verify the effectiveness and efficiency of our proposed method.

Original language	English
Title of host publication	Proceedings, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation
Editors	Guojun Wang, Qi Han, Md Zakirul Alam Bhuiyan, Xiaoxing Ma, Frederic Loulergue, Peng Li, Manuel Roveri, Lei Chen
Place of Publication	Los Alamitos, CA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1283-1288
Number of pages	6
ISBN (Print)	9781538693803
DOIs	https://doi.org/10.1109/SmartWorld.2018.00223
Publication status	Published - 2018
Externally published	Yes
Event	IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) - Guangzhou Duration: 7 Nov 2018 → 11 Nov 2018

Conference

Conference	IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
City	Guangzhou
Period	7/11/18 → 11/11/18

Keywords

cloudlet
WMAN
VM scheduling
load balance
smart city
Load balance
VM Scheduling
Smart city
Cloudlet

Access to Document

10.1109/SmartWorld.2018.00223

Cite this

Xu, X., Bhuiyan, M. Z. A., Qi, L., Zhang, X., & Dou, W. (2018). Load aware management of cloudlets for a wireless area metropolitan network. In G. Wang, Q. Han, M. Z. A. Bhuiyan, X. Ma, F. Loulergue, P. Li, M. Roveri, & L. Chen (Eds.), Proceedings, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (pp. 1283-1288). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SmartWorld.2018.00223

Xu, Xiaolong ; Bhuiyan, Md Zakirul Alam ; Qi, Lianyong et al. / Load aware management of cloudlets for a wireless area metropolitan network. Proceedings, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation. editor / Guojun Wang ; Qi Han ; Md Zakirul Alam Bhuiyan ; Xiaoxing Ma ; Frederic Loulergue ; Peng Li ; Manuel Roveri ; Lei Chen. Los Alamitos, CA : Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 1283-1288

@inproceedings{1375a7599f8345ee8f3b438965fc3a7d,

title = "Load aware management of cloudlets for a wireless area metropolitan network",

abstract = "Wireless metropolitan area network (WMAN) emerges to be popular and powerful to provide abundant access services for mobile devices in the construction of smart city. To improve the quality of experience (QoE) for mobile users in WMAN, cloudlet is treated as a promising paradigm which provides potential extension of the limited resources to the mobile devices. However, it is still a challenge to realize the dynamic load-balance distribution of the performed mobile applications for cloudlet management in WMAN. In view of this challenge, a Load-aware Resource Scheduling method, named LRS, is designed to achieve the goal of load balancing. Technically, we present the load balance analysis for the cloudlets in WMAN first. Then a corresponding virtual machine (VM) scheduling method is developed to adjust the resource provision dynamically by leveraging the VM live migration technique. Finally, extensive experimental evaluations are conducted to verify the effectiveness and efficiency of our proposed method.",

keywords = "cloudlet, WMAN, VM scheduling, load balance, smart city, Load balance, VM Scheduling, Smart city, Cloudlet",

author = "Xiaolong Xu and Bhuiyan, {Md Zakirul Alam} and Lianyong Qi and Xuyun Zhang and Wanchun Dou",

year = "2018",

doi = "10.1109/SmartWorld.2018.00223",

language = "English",

isbn = "9781538693803 ",

pages = "1283--1288",

editor = "Guojun Wang and Qi Han and Bhuiyan, {Md Zakirul Alam} and Xiaoxing Ma and Frederic Loulergue and Peng Li and Manuel Roveri and Lei Chen",

booktitle = "Proceedings, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) ; Conference date: 07-11-2018 Through 11-11-2018",

}

Xu, X, Bhuiyan, MZA, Qi, L, Zhang, X & Dou, W 2018, Load aware management of cloudlets for a wireless area metropolitan network. in G Wang, Q Han, MZA Bhuiyan, X Ma, F Loulergue, P Li, M Roveri & L Chen (eds), Proceedings, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation. Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, CA, pp. 1283-1288, IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Guangzhou, 7/11/18. https://doi.org/10.1109/SmartWorld.2018.00223

Load aware management of cloudlets for a wireless area metropolitan network. / Xu, Xiaolong; Bhuiyan, Md Zakirul Alam; Qi, Lianyong et al.
Proceedings, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation. ed. / Guojun Wang; Qi Han; Md Zakirul Alam Bhuiyan; Xiaoxing Ma; Frederic Loulergue; Peng Li; Manuel Roveri; Lei Chen. Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1283-1288.

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

TY - GEN

T1 - Load aware management of cloudlets for a wireless area metropolitan network

AU - Xu, Xiaolong

AU - Bhuiyan, Md Zakirul Alam

AU - Qi, Lianyong

AU - Zhang, Xuyun

AU - Dou, Wanchun

PY - 2018

Y1 - 2018

N2 - Wireless metropolitan area network (WMAN) emerges to be popular and powerful to provide abundant access services for mobile devices in the construction of smart city. To improve the quality of experience (QoE) for mobile users in WMAN, cloudlet is treated as a promising paradigm which provides potential extension of the limited resources to the mobile devices. However, it is still a challenge to realize the dynamic load-balance distribution of the performed mobile applications for cloudlet management in WMAN. In view of this challenge, a Load-aware Resource Scheduling method, named LRS, is designed to achieve the goal of load balancing. Technically, we present the load balance analysis for the cloudlets in WMAN first. Then a corresponding virtual machine (VM) scheduling method is developed to adjust the resource provision dynamically by leveraging the VM live migration technique. Finally, extensive experimental evaluations are conducted to verify the effectiveness and efficiency of our proposed method.

AB - Wireless metropolitan area network (WMAN) emerges to be popular and powerful to provide abundant access services for mobile devices in the construction of smart city. To improve the quality of experience (QoE) for mobile users in WMAN, cloudlet is treated as a promising paradigm which provides potential extension of the limited resources to the mobile devices. However, it is still a challenge to realize the dynamic load-balance distribution of the performed mobile applications for cloudlet management in WMAN. In view of this challenge, a Load-aware Resource Scheduling method, named LRS, is designed to achieve the goal of load balancing. Technically, we present the load balance analysis for the cloudlets in WMAN first. Then a corresponding virtual machine (VM) scheduling method is developed to adjust the resource provision dynamically by leveraging the VM live migration technique. Finally, extensive experimental evaluations are conducted to verify the effectiveness and efficiency of our proposed method.

KW - cloudlet

KW - WMAN

KW - VM scheduling

KW - load balance

KW - smart city

KW - Load balance

KW - VM Scheduling

KW - Smart city

KW - Cloudlet

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U2 - 10.1109/SmartWorld.2018.00223

DO - 10.1109/SmartWorld.2018.00223

M3 - Conference proceeding contribution

SN - 9781538693803

SP - 1283

EP - 1288

BT - Proceedings, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation

A2 - Wang, Guojun

A2 - Han, Qi

A2 - Bhuiyan, Md Zakirul Alam

A2 - Ma, Xiaoxing

A2 - Loulergue, Frederic

A2 - Li, Peng

A2 - Roveri, Manuel

A2 - Chen, Lei

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Los Alamitos, CA

T2 - IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)

Y2 - 7 November 2018 through 11 November 2018

ER -

Xu X, Bhuiyan MZA, Qi L, Zhang X, Dou W. Load aware management of cloudlets for a wireless area metropolitan network. In Wang G, Han Q, Bhuiyan MZA, Ma X, Loulergue F, Li P, Roveri M, Chen L, editors, Proceedings, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation. Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 1283-1288 doi: 10.1109/SmartWorld.2018.00223

Load aware management of cloudlets for a wireless area metropolitan network

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