Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing

Keke Gai; Meikang Qiu; Hui Zhao; Meiqin Liu

doi:10.1109/CSCloud.2016.48

Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing

Keke Gai
, Meikang Qiu
, Hui Zhao
, Meiqin Liu

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

34 Scopus citations

Abstract

Recent quick expansions of mobile heterogeneous embedded systems have led to a remarkable hardware upgrade that support multiple core processors. The energy consumption is becoming greater along with the computation capacity grows. Cloud computing is considered one of the solutions to mitigating energy costs. However, the simply offloading the computations to the remote side cannot efficiently reduce the energy consumptions when the energy costs caused by wireless communications are greater than it is on mobile devices. In this paper, we focus on the problem of energy wastes when tasks are assigned to remote cloud servers or heterogeneous core processors. Our solution aims to minimize the total energy cost of the mobile heterogeneous embedded systems by using an optimal task assignment to heterogeneous cores and mobile clouds. The propose model is named as Energy-Aware Heterogeneous Resource Management Model (EA-HRM2), which is supported by a main algorithm Optimal Heterogeneous Task Assignment (OHTA) algorithm. Our experimental evaluations have proved our approach is effective to save energy when deploying heterogenous embedded systems in mobile cloud systems.

Original language	English
Title of host publication	Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016
Editors	Lixin Tao, Meikang Qiu, Jianwei Niu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	198-203
Number of pages	6
ISBN (Electronic)	9781509009459
DOIs	https://doi.org/10.1109/CSCloud.2016.48
State	Published - 16 Aug 2016
Externally published	Yes
Event	3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 - Beijing, China Duration: 25 Jun 2016 → 27 Jun 2016

Publication series

Name	Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016

Conference

Conference	3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016
Country/Territory	China
City	Beijing
Period	25/06/16 → 27/06/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy-aware
NP-hard
heterogeneous cloud computing
task assignment

Access to Document

10.1109/CSCloud.2016.48

Cite this

Gai, K., Qiu, M., Zhao, H., & Liu, M. (2016). Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing. In L. Tao, M. Qiu, & J. Niu (Eds.), Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 (pp. 198-203). Article 7545919 (Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCloud.2016.48

Gai, Keke ; Qiu, Meikang ; Zhao, Hui et al. / Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing. Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016. editor / Lixin Tao ; Meikang Qiu ; Jianwei Niu. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 198-203 (Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016).

@inproceedings{f04a7583b8954adbb12457562baa8663,

title = "Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing",

abstract = "Recent quick expansions of mobile heterogeneous embedded systems have led to a remarkable hardware upgrade that support multiple core processors. The energy consumption is becoming greater along with the computation capacity grows. Cloud computing is considered one of the solutions to mitigating energy costs. However, the simply offloading the computations to the remote side cannot efficiently reduce the energy consumptions when the energy costs caused by wireless communications are greater than it is on mobile devices. In this paper, we focus on the problem of energy wastes when tasks are assigned to remote cloud servers or heterogeneous core processors. Our solution aims to minimize the total energy cost of the mobile heterogeneous embedded systems by using an optimal task assignment to heterogeneous cores and mobile clouds. The propose model is named as Energy-Aware Heterogeneous Resource Management Model (EA-HRM2), which is supported by a main algorithm Optimal Heterogeneous Task Assignment (OHTA) algorithm. Our experimental evaluations have proved our approach is effective to save energy when deploying heterogenous embedded systems in mobile cloud systems.",

keywords = "Energy-aware, NP-hard, heterogeneous cloud computing, task assignment",

author = "Keke Gai and Meikang Qiu and Hui Zhao and Meiqin Liu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 ; Conference date: 25-06-2016 Through 27-06-2016",

year = "2016",

month = aug,

day = "16",

doi = "10.1109/CSCloud.2016.48",

language = "英语",

series = "Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016",

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

pages = "198--203",

editor = "Lixin Tao and Meikang Qiu and Jianwei Niu",

booktitle = "Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016",

}

Gai, K, Qiu, M, Zhao, H & Liu, M 2016, Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing. in L Tao, M Qiu & J Niu (eds), Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016., 7545919, Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 198-203, 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016, Beijing, China, 25/06/16. https://doi.org/10.1109/CSCloud.2016.48

Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing. / Gai, Keke; Qiu, Meikang; Zhao, Hui et al.
Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016. ed. / Lixin Tao; Meikang Qiu; Jianwei Niu. Institute of Electrical and Electronics Engineers Inc., 2016. p. 198-203 7545919 (Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016).

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

TY - GEN

T1 - Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing

AU - Gai, Keke

AU - Qiu, Meikang

AU - Zhao, Hui

AU - Liu, Meiqin

PY - 2016/8/16

Y1 - 2016/8/16

N2 - Recent quick expansions of mobile heterogeneous embedded systems have led to a remarkable hardware upgrade that support multiple core processors. The energy consumption is becoming greater along with the computation capacity grows. Cloud computing is considered one of the solutions to mitigating energy costs. However, the simply offloading the computations to the remote side cannot efficiently reduce the energy consumptions when the energy costs caused by wireless communications are greater than it is on mobile devices. In this paper, we focus on the problem of energy wastes when tasks are assigned to remote cloud servers or heterogeneous core processors. Our solution aims to minimize the total energy cost of the mobile heterogeneous embedded systems by using an optimal task assignment to heterogeneous cores and mobile clouds. The propose model is named as Energy-Aware Heterogeneous Resource Management Model (EA-HRM2), which is supported by a main algorithm Optimal Heterogeneous Task Assignment (OHTA) algorithm. Our experimental evaluations have proved our approach is effective to save energy when deploying heterogenous embedded systems in mobile cloud systems.

AB - Recent quick expansions of mobile heterogeneous embedded systems have led to a remarkable hardware upgrade that support multiple core processors. The energy consumption is becoming greater along with the computation capacity grows. Cloud computing is considered one of the solutions to mitigating energy costs. However, the simply offloading the computations to the remote side cannot efficiently reduce the energy consumptions when the energy costs caused by wireless communications are greater than it is on mobile devices. In this paper, we focus on the problem of energy wastes when tasks are assigned to remote cloud servers or heterogeneous core processors. Our solution aims to minimize the total energy cost of the mobile heterogeneous embedded systems by using an optimal task assignment to heterogeneous cores and mobile clouds. The propose model is named as Energy-Aware Heterogeneous Resource Management Model (EA-HRM2), which is supported by a main algorithm Optimal Heterogeneous Task Assignment (OHTA) algorithm. Our experimental evaluations have proved our approach is effective to save energy when deploying heterogenous embedded systems in mobile cloud systems.

KW - Energy-aware

KW - NP-hard

KW - heterogeneous cloud computing

KW - task assignment

UR - https://www.scopus.com/pages/publications/84987673596

U2 - 10.1109/CSCloud.2016.48

DO - 10.1109/CSCloud.2016.48

M3 - 会议稿件

AN - SCOPUS:84987673596

T3 - Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016

SP - 198

EP - 203

BT - Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016

A2 - Tao, Lixin

A2 - Qiu, Meikang

A2 - Niu, Jianwei

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016

Y2 - 25 June 2016 through 27 June 2016

ER -

Gai K, Qiu M, Zhao H, Liu M. Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing. In Tao L, Qiu M, Niu J, editors, Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 198-203. 7545919. (Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016). doi: 10.1109/CSCloud.2016.48

Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this