Energy-traffic tradeoff cooperative offloading for mobile cloud computing

Jian Song; Yong Cui; Minming Li; Jiezhong Qiu; Rajkumar Buyya

doi:10.1109/IWQoS.2014.6914329

Energy-traffic tradeoff cooperative offloading for mobile cloud computing

Jian Song^*
, Yong Cui
, Minming Li
, Jiezhong Qiu
, Rajkumar Buyya

^*Corresponding author for this work

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

68 Scopus citations

Abstract

This paper presents a quantitative study on the energy-traffic tradeoff problem from the perspective of entire Wireless Local Area Network (WLAN). We propose a novel Energy-Efficient Cooperative Offloading Model (E2COM) for energy-traffic tradeoff, which can ensure the fairness of energy consumption of mobile devices and reduce the computation repetition and eliminate the Internet data traffic redundancy through cooperative execution and sharing computation results. We design an Online Task Scheduling Algorithm (OTS) based on a pricing mechanism and Lyapunov optimization to address the problem without predicting future information on task arrivals, transmission rates and so on. OTS can achieve a desirable tradeoff between the energy consumption and Internet data traffic by appropriately setting the tradeoff coefficient. Simulation results demonstrate that E2COM is more efficient than no offloading and cloud offloading for a variety of typical mobile devices, applications and link qualities in WLAN.

Original language	English
Title of host publication	2014 IEEE 22nd International Symposium of Quality of Service, IWQoS
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	284-289
Number of pages	6
ISBN (Electronic)	9781479948529
DOIs	https://doi.org/10.1109/IWQoS.2014.6914329
State	Published - 30 Sep 2014
Externally published	Yes
Event	22nd IEEE International Symposium of Quality of Service, IWQoS 2014 - Hong Kong, Hong Kong Duration: 26 May 2014 → 27 May 2014

Publication series

Name	IEEE International Workshop on Quality of Service, IWQoS
ISSN (Print)	1548-615X

Conference

Conference	22nd IEEE International Symposium of Quality of Service, IWQoS 2014
Country/Territory	Hong Kong
City	Hong Kong
Period	26/05/14 → 27/05/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/IWQoS.2014.6914329

Cite this

Song, J., Cui, Y., Li, M., Qiu, J., & Buyya, R. (2014). Energy-traffic tradeoff cooperative offloading for mobile cloud computing. In 2014 IEEE 22nd International Symposium of Quality of Service, IWQoS (pp. 284-289). Article 6914329 (IEEE International Workshop on Quality of Service, IWQoS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWQoS.2014.6914329

@inproceedings{30f34cb75ced47fb9ea5dfd9c8e0eb0a,

title = "Energy-traffic tradeoff cooperative offloading for mobile cloud computing",

abstract = "This paper presents a quantitative study on the energy-traffic tradeoff problem from the perspective of entire Wireless Local Area Network (WLAN). We propose a novel Energy-Efficient Cooperative Offloading Model (E2COM) for energy-traffic tradeoff, which can ensure the fairness of energy consumption of mobile devices and reduce the computation repetition and eliminate the Internet data traffic redundancy through cooperative execution and sharing computation results. We design an Online Task Scheduling Algorithm (OTS) based on a pricing mechanism and Lyapunov optimization to address the problem without predicting future information on task arrivals, transmission rates and so on. OTS can achieve a desirable tradeoff between the energy consumption and Internet data traffic by appropriately setting the tradeoff coefficient. Simulation results demonstrate that E2COM is more efficient than no offloading and cloud offloading for a variety of typical mobile devices, applications and link qualities in WLAN.",

author = "Jian Song and Yong Cui and Minming Li and Jiezhong Qiu and Rajkumar Buyya",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 22nd IEEE International Symposium of Quality of Service, IWQoS 2014 ; Conference date: 26-05-2014 Through 27-05-2014",

year = "2014",

month = sep,

day = "30",

doi = "10.1109/IWQoS.2014.6914329",

language = "英语",

series = "IEEE International Workshop on Quality of Service, IWQoS",

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

pages = "284--289",

booktitle = "2014 IEEE 22nd International Symposium of Quality of Service, IWQoS",

address = "美国",

}

Song, J, Cui, Y, Li, M, Qiu, J & Buyya, R 2014, Energy-traffic tradeoff cooperative offloading for mobile cloud computing. in 2014 IEEE 22nd International Symposium of Quality of Service, IWQoS., 6914329, IEEE International Workshop on Quality of Service, IWQoS, Institute of Electrical and Electronics Engineers Inc., pp. 284-289, 22nd IEEE International Symposium of Quality of Service, IWQoS 2014, Hong Kong, Hong Kong, 26/05/14. https://doi.org/10.1109/IWQoS.2014.6914329

Energy-traffic tradeoff cooperative offloading for mobile cloud computing. / Song, Jian; Cui, Yong; Li, Minming et al.
2014 IEEE 22nd International Symposium of Quality of Service, IWQoS. Institute of Electrical and Electronics Engineers Inc., 2014. p. 284-289 6914329 (IEEE International Workshop on Quality of Service, IWQoS).

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

TY - GEN

T1 - Energy-traffic tradeoff cooperative offloading for mobile cloud computing

AU - Song, Jian

AU - Cui, Yong

AU - Li, Minming

AU - Qiu, Jiezhong

AU - Buyya, Rajkumar

PY - 2014/9/30

Y1 - 2014/9/30

N2 - This paper presents a quantitative study on the energy-traffic tradeoff problem from the perspective of entire Wireless Local Area Network (WLAN). We propose a novel Energy-Efficient Cooperative Offloading Model (E2COM) for energy-traffic tradeoff, which can ensure the fairness of energy consumption of mobile devices and reduce the computation repetition and eliminate the Internet data traffic redundancy through cooperative execution and sharing computation results. We design an Online Task Scheduling Algorithm (OTS) based on a pricing mechanism and Lyapunov optimization to address the problem without predicting future information on task arrivals, transmission rates and so on. OTS can achieve a desirable tradeoff between the energy consumption and Internet data traffic by appropriately setting the tradeoff coefficient. Simulation results demonstrate that E2COM is more efficient than no offloading and cloud offloading for a variety of typical mobile devices, applications and link qualities in WLAN.

AB - This paper presents a quantitative study on the energy-traffic tradeoff problem from the perspective of entire Wireless Local Area Network (WLAN). We propose a novel Energy-Efficient Cooperative Offloading Model (E2COM) for energy-traffic tradeoff, which can ensure the fairness of energy consumption of mobile devices and reduce the computation repetition and eliminate the Internet data traffic redundancy through cooperative execution and sharing computation results. We design an Online Task Scheduling Algorithm (OTS) based on a pricing mechanism and Lyapunov optimization to address the problem without predicting future information on task arrivals, transmission rates and so on. OTS can achieve a desirable tradeoff between the energy consumption and Internet data traffic by appropriately setting the tradeoff coefficient. Simulation results demonstrate that E2COM is more efficient than no offloading and cloud offloading for a variety of typical mobile devices, applications and link qualities in WLAN.

UR - https://www.scopus.com/pages/publications/84907886933

U2 - 10.1109/IWQoS.2014.6914329

DO - 10.1109/IWQoS.2014.6914329

M3 - 会议稿件

AN - SCOPUS:84907886933

T3 - IEEE International Workshop on Quality of Service, IWQoS

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BT - 2014 IEEE 22nd International Symposium of Quality of Service, IWQoS

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd IEEE International Symposium of Quality of Service, IWQoS 2014

Y2 - 26 May 2014 through 27 May 2014

ER -

Energy-traffic tradeoff cooperative offloading for mobile cloud computing

Abstract

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Conference

UN SDGs

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