Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing

Thanks to the development of the technologies in the wireless communications and Internet of Things (IoT), the adoption of mobile devices is growing rapidly. Accordingly, the number of multimedia applications like face recognition and augmented reality generated from various mobile devices is growin...

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Autores principales:	Guolong Chen, Liang Zhao, Xianwei Li, Fuqi Zhao, Xiaojian Zeng
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Applications offloading mobile edge computing system delay resource allocation Electronic computers. Computer science QA75.5-76.95 Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/0a82bcdf919b4b3fae7bfe61e20bd793
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id	oai:doaj.org-article:0a82bcdf919b4b3fae7bfe61e20bd793
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spelling	oai:doaj.org-article:0a82bcdf919b4b3fae7bfe61e20bd7932021-11-04T23:00:59ZOptimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing2644-126810.1109/OJCS.2021.3119366https://doaj.org/article/0a82bcdf919b4b3fae7bfe61e20bd7932021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9568722/https://doaj.org/toc/2644-1268Thanks to the development of the technologies in the wireless communications and Internet of Things (IoT), the adoption of mobile devices is growing rapidly. Accordingly, the number of multimedia applications like face recognition and augmented reality generated from various mobile devices is growing at an unprecedented rate. The processing of these multimedia applications needs a lot of computation resources and has to be processed as quickly as possible. However, as these mobile devices have limited computation resources, the undesirable response delay will occur. By offloading the multimedia applications to the edge cloud close to the access point (AP) or the cellular base station (BS), mobile edge computing (MEC) is considered as a prospective approach to improve the quality of service (QoS) and enhance the computing capacity of mobile devices. Multimedia applications offloading in a MEC system are studied in this paper. The objective of the studied problem is to minimize the execution delay of multimedia applications of all mobile devices by allocating both the communication resource and the computing resource in the edge servers. An optimization problem is formulated and an efficient multimedia applications offloading scheme is proposed to get the solution. Simulation results are conducted to verify the proposed application offloading method, which show that there is a significant execution delay reduction.Guolong ChenLiang ZhaoXianwei LiFuqi ZhaoXiaojian ZengIEEEarticleApplications offloadingmobile edge computingsystem delayresource allocationElectronic computers. Computer scienceQA75.5-76.95Information technologyT58.5-58.64ENIEEE Open Journal of the Computer Society, Vol 2, Pp 360-369 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Applications offloading mobile edge computing system delay resource allocation Electronic computers. Computer science QA75.5-76.95 Information technology T58.5-58.64
spellingShingle	Applications offloading mobile edge computing system delay resource allocation Electronic computers. Computer science QA75.5-76.95 Information technology T58.5-58.64 Guolong Chen Liang Zhao Xianwei Li Fuqi Zhao Xiaojian Zeng Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing
description	Thanks to the development of the technologies in the wireless communications and Internet of Things (IoT), the adoption of mobile devices is growing rapidly. Accordingly, the number of multimedia applications like face recognition and augmented reality generated from various mobile devices is growing at an unprecedented rate. The processing of these multimedia applications needs a lot of computation resources and has to be processed as quickly as possible. However, as these mobile devices have limited computation resources, the undesirable response delay will occur. By offloading the multimedia applications to the edge cloud close to the access point (AP) or the cellular base station (BS), mobile edge computing (MEC) is considered as a prospective approach to improve the quality of service (QoS) and enhance the computing capacity of mobile devices. Multimedia applications offloading in a MEC system are studied in this paper. The objective of the studied problem is to minimize the execution delay of multimedia applications of all mobile devices by allocating both the communication resource and the computing resource in the edge servers. An optimization problem is formulated and an efficient multimedia applications offloading scheme is proposed to get the solution. Simulation results are conducted to verify the proposed application offloading method, which show that there is a significant execution delay reduction.
format	article
author	Guolong Chen Liang Zhao Xianwei Li Fuqi Zhao Xiaojian Zeng
author_facet	Guolong Chen Liang Zhao Xianwei Li Fuqi Zhao Xiaojian Zeng
author_sort	Guolong Chen
title	Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing
title_short	Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing
title_full	Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing
title_fullStr	Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing
title_full_unstemmed	Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing
title_sort	optimal resource allocation for multimedia applications offloading in mobile edge computing
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/0a82bcdf919b4b3fae7bfe61e20bd793
work_keys_str_mv	AT guolongchen optimalresourceallocationformultimediaapplicationsoffloadinginmobileedgecomputing AT liangzhao optimalresourceallocationformultimediaapplicationsoffloadinginmobileedgecomputing AT xianweili optimalresourceallocationformultimediaapplicationsoffloadinginmobileedgecomputing AT fuqizhao optimalresourceallocationformultimediaapplicationsoffloadinginmobileedgecomputing AT xiaojianzeng optimalresourceallocationformultimediaapplicationsoffloadinginmobileedgecomputing
_version_	1718444570835943424

Optimal Resource Allocation for Multimedia Applications Offloading in Mobile Edge Computing

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