Task Popularity-Based Energy Minimized Computation Offloading for Fog Computing Wireless Networks

Junsung Kim; Taeyoung Ha; Wonsuk Yoo; Jong Moon Chung

doi:10.1109/LWC.2019.2911521

Task Popularity-Based Energy Minimized Computation Offloading for Fog Computing Wireless Networks

Junsung Kim, Taeyoung Ha, Wonsuk Yoo, Jong Moon Chung

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Fog computing is a new systematic paradigm which provides low latency enabled cloud services to mobile and Internet of Things (IoT) networks by provisioning the computation capability within the radio access network (RAN) assignable to mobile end users. In this letter, an energy optimal offloading scheme based on a probabilistic priority model of cloud tasks is investigated over fog computing networks. The optimization problem jointly minimizes the energy consumption of user equipment (UE) and the fog server. Simulation results show that the proposed joint UE and fog server energy optimization (JUFO) scheme provides a better performance compared to the conventional offloading scheme, which operates strictly within the determined delay bound.

Original language	English
Article number	8692395
Pages (from-to)	1200-1203
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	8
Issue number	4
DOIs	https://doi.org/10.1109/LWC.2019.2911521
Publication status	Published - 2019 Aug

Bibliographical note

Funding Information:
Manuscript received March 2, 2019; accepted April 7, 2019. Date of publication April 16, 2019; date of current version August 21, 2019. This work was supported by the Ministry of Interior and Safety of Korean Government through the Disaster Prediction and Mitigation Technology Development Program under Grant MOIS-DP-2015-10. The associate editor coordinating the review of this paper and approving it for publication was X. Chu. (Corresponding author: Jong-Moon Chung.) J. Kim, W. Yoo, and J.-M. Chung are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: june.kim27@yonsei.ac.kr; wsbm34@yonsei.ac.kr; jmc@yonsei.ac.kr).

Publisher Copyright:
© 2012 IEEE.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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title = "Task Popularity-Based Energy Minimized Computation Offloading for Fog Computing Wireless Networks",

abstract = "Fog computing is a new systematic paradigm which provides low latency enabled cloud services to mobile and Internet of Things (IoT) networks by provisioning the computation capability within the radio access network (RAN) assignable to mobile end users. In this letter, an energy optimal offloading scheme based on a probabilistic priority model of cloud tasks is investigated over fog computing networks. The optimization problem jointly minimizes the energy consumption of user equipment (UE) and the fog server. Simulation results show that the proposed joint UE and fog server energy optimization (JUFO) scheme provides a better performance compared to the conventional offloading scheme, which operates strictly within the determined delay bound.",

author = "Junsung Kim and Taeyoung Ha and Wonsuk Yoo and Chung, {Jong Moon}",

note = "Funding Information: Manuscript received March 2, 2019; accepted April 7, 2019. Date of publication April 16, 2019; date of current version August 21, 2019. This work was supported by the Ministry of Interior and Safety of Korean Government through the Disaster Prediction and Mitigation Technology Development Program under Grant MOIS-DP-2015-10. The associate editor coordinating the review of this paper and approving it for publication was X. Chu. (Corresponding author: Jong-Moon Chung.) J. Kim, W. Yoo, and J.-M. Chung are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: june.kim27@yonsei.ac.kr; wsbm34@yonsei.ac.kr; jmc@yonsei.ac.kr). Publisher Copyright: {\textcopyright} 2012 IEEE.",

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N1 - Funding Information: Manuscript received March 2, 2019; accepted April 7, 2019. Date of publication April 16, 2019; date of current version August 21, 2019. This work was supported by the Ministry of Interior and Safety of Korean Government through the Disaster Prediction and Mitigation Technology Development Program under Grant MOIS-DP-2015-10. The associate editor coordinating the review of this paper and approving it for publication was X. Chu. (Corresponding author: Jong-Moon Chung.) J. Kim, W. Yoo, and J.-M. Chung are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: june.kim27@yonsei.ac.kr; wsbm34@yonsei.ac.kr; jmc@yonsei.ac.kr). Publisher Copyright: © 2012 IEEE.

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AB - Fog computing is a new systematic paradigm which provides low latency enabled cloud services to mobile and Internet of Things (IoT) networks by provisioning the computation capability within the radio access network (RAN) assignable to mobile end users. In this letter, an energy optimal offloading scheme based on a probabilistic priority model of cloud tasks is investigated over fog computing networks. The optimization problem jointly minimizes the energy consumption of user equipment (UE) and the fog server. Simulation results show that the proposed joint UE and fog server energy optimization (JUFO) scheme provides a better performance compared to the conventional offloading scheme, which operates strictly within the determined delay bound.

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Task Popularity-Based Energy Minimized Computation Offloading for Fog Computing Wireless Networks

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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