COMEC: Computation offloading for video-based heart rate detection APP in mobile edge computing

Xuejun Li; Ruimiao Ding; Xiao Liu; Wenqiang Yan; Jia Xu; Han Gao; Xi Zheng

doi:10.1109/BDCloud.2018.00152

COMEC: Computation offloading for video-based heart rate detection APP in mobile edge computing

Xuejun Li, Ruimiao Ding, Xiao Liu, Wenqiang Yan, Jia Xu, Han Gao, Xi Zheng

School of Computing

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

9 Citations (Scopus)

Abstract

Medical data is invaluable in medical diagnosis. With the recent advance in Internet of Things (IoT) and non-invasive sensing, massive medical data can be gathered in real-time but how to process them efficiently becomes a big challenge for e-Health applications. In this demo paper, we investigate the idea of employing Mobile Edge Computing (MEC) which can provide computing resources close to the end devices with a variety of computation offloading models to facilitate real-time medical data processing. To evaluate this idea and find out which computation offloading model can achieve the best performance, we implement COMEC where a video-based heart rate detection APP is running in a MEC environment based on Open Air Interface (OAI). Experimental results have shown that the best performance is achieved under multi-layer offloading model where both the edge server and the cloud server are employed.

Original language	English
Title of host publication	16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications
Subtitle of host publication	ISPA 2018
Editors	Jinjun Chen, Laurence T. Yang
Place of Publication	Piscataway, New Jersey
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1038-1039
Number of pages	2
ISBN (Electronic)	9781728111414
DOIs	https://doi.org/10.1109/BDCloud.2018.00152
Publication status	Published - 2018
Event	16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 - Melbourne, Australia Duration: 11 Dec 2018 → 13 Dec 2018

Conference

Conference	16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
Country/Territory	Australia
City	Melbourne
Period	11/12/18 → 13/12/18

Keywords

Computation Offloading
Heart Rate Detection
Mobile Edge Computing

Access to Document

10.1109/BDCloud.2018.00152

Cite this

Li, X., Ding, R., Liu, X., Yan, W., Xu, J., Gao, H., & Zheng, X. (2018). COMEC: Computation offloading for video-based heart rate detection APP in mobile edge computing. In J. Chen, & L. T. Yang (Eds.), 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications: ISPA 2018 (pp. 1038-1039). [8672279] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/BDCloud.2018.00152

Li, Xuejun ; Ding, Ruimiao ; Liu, Xiao ; Yan, Wenqiang ; Xu, Jia ; Gao, Han ; Zheng, Xi. / COMEC : Computation offloading for video-based heart rate detection APP in mobile edge computing. 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications: ISPA 2018. editor / Jinjun Chen ; Laurence T. Yang. Piscataway, New Jersey : Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 1038-1039

@inproceedings{2f3edef3dfb1494c8709bf172b6394ec,

title = "COMEC: Computation offloading for video-based heart rate detection APP in mobile edge computing",

abstract = "Medical data is invaluable in medical diagnosis. With the recent advance in Internet of Things (IoT) and non-invasive sensing, massive medical data can be gathered in real-time but how to process them efficiently becomes a big challenge for e-Health applications. In this demo paper, we investigate the idea of employing Mobile Edge Computing (MEC) which can provide computing resources close to the end devices with a variety of computation offloading models to facilitate real-time medical data processing. To evaluate this idea and find out which computation offloading model can achieve the best performance, we implement COMEC where a video-based heart rate detection APP is running in a MEC environment based on Open Air Interface (OAI). Experimental results have shown that the best performance is achieved under multi-layer offloading model where both the edge server and the cloud server are employed.",

keywords = "Computation Offloading, Heart Rate Detection, Mobile Edge Computing",

author = "Xuejun Li and Ruimiao Ding and Xiao Liu and Wenqiang Yan and Jia Xu and Han Gao and Xi Zheng",

year = "2018",

doi = "10.1109/BDCloud.2018.00152",

language = "English",

pages = "1038--1039",

editor = "Jinjun Chen and Yang, {Laurence T.}",

booktitle = "16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications",

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

address = "United States",

note = "16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 ; Conference date: 11-12-2018 Through 13-12-2018",

}

Li, X, Ding, R, Liu, X, Yan, W, Xu, J, Gao, H & Zheng, X 2018, COMEC: Computation offloading for video-based heart rate detection APP in mobile edge computing. in J Chen & LT Yang (eds), 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications: ISPA 2018., 8672279, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 1038-1039, 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, Melbourne, Australia, 11/12/18. https://doi.org/10.1109/BDCloud.2018.00152

COMEC : Computation offloading for video-based heart rate detection APP in mobile edge computing. / Li, Xuejun; Ding, Ruimiao; Liu, Xiao; Yan, Wenqiang; Xu, Jia; Gao, Han; Zheng, Xi.

16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications: ISPA 2018. ed. / Jinjun Chen; Laurence T. Yang. Piscataway, New Jersey : Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1038-1039 8672279.

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

TY - GEN

T1 - COMEC

T2 - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018

AU - Li, Xuejun

AU - Ding, Ruimiao

AU - Liu, Xiao

AU - Yan, Wenqiang

AU - Xu, Jia

AU - Gao, Han

AU - Zheng, Xi

PY - 2018

Y1 - 2018

N2 - Medical data is invaluable in medical diagnosis. With the recent advance in Internet of Things (IoT) and non-invasive sensing, massive medical data can be gathered in real-time but how to process them efficiently becomes a big challenge for e-Health applications. In this demo paper, we investigate the idea of employing Mobile Edge Computing (MEC) which can provide computing resources close to the end devices with a variety of computation offloading models to facilitate real-time medical data processing. To evaluate this idea and find out which computation offloading model can achieve the best performance, we implement COMEC where a video-based heart rate detection APP is running in a MEC environment based on Open Air Interface (OAI). Experimental results have shown that the best performance is achieved under multi-layer offloading model where both the edge server and the cloud server are employed.

AB - Medical data is invaluable in medical diagnosis. With the recent advance in Internet of Things (IoT) and non-invasive sensing, massive medical data can be gathered in real-time but how to process them efficiently becomes a big challenge for e-Health applications. In this demo paper, we investigate the idea of employing Mobile Edge Computing (MEC) which can provide computing resources close to the end devices with a variety of computation offloading models to facilitate real-time medical data processing. To evaluate this idea and find out which computation offloading model can achieve the best performance, we implement COMEC where a video-based heart rate detection APP is running in a MEC environment based on Open Air Interface (OAI). Experimental results have shown that the best performance is achieved under multi-layer offloading model where both the edge server and the cloud server are employed.

KW - Computation Offloading

KW - Heart Rate Detection

KW - Mobile Edge Computing

UR - http://www.scopus.com/inward/record.url?scp=85063859548&partnerID=8YFLogxK

U2 - 10.1109/BDCloud.2018.00152

DO - 10.1109/BDCloud.2018.00152

M3 - Conference proceeding contribution

AN - SCOPUS:85063859548

SP - 1038

EP - 1039

BT - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications

A2 - Chen, Jinjun

A2 - Yang, Laurence T.

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, New Jersey

Y2 - 11 December 2018 through 13 December 2018

ER -

Li X, Ding R, Liu X, Yan W, Xu J, Gao H et al. COMEC: Computation offloading for video-based heart rate detection APP in mobile edge computing. In Chen J, Yang LT, editors, 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications: ISPA 2018. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 1038-1039. 8672279 https://doi.org/10.1109/BDCloud.2018.00152

COMEC: Computation offloading for video-based heart rate detection APP in mobile edge computing

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