Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment

The mine improves the response speed of the IoT control system by sinking computing services into the MEC Server. In this case, computing resources are scattered and it is difficult to cope with the changing computing requirements of mobile terminal devices. To solve this problem, we optimize from t...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yifan Meng, Jingzhao Li
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	MEC task offloading resource allocation coal mine Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/2e7ce15ec0b84bc28d6cb54c1e81595e
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2e7ce15ec0b84bc28d6cb54c1e81595e
record_format	dspace
spelling	oai:doaj.org-article:2e7ce15ec0b84bc28d6cb54c1e81595e2021-11-26T00:01:56ZTask Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment2169-353610.1109/ACCESS.2021.3129464https://doaj.org/article/2e7ce15ec0b84bc28d6cb54c1e81595e2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9622272/https://doaj.org/toc/2169-3536The mine improves the response speed of the IoT control system by sinking computing services into the MEC Server. In this case, computing resources are scattered and it is difficult to cope with the changing computing requirements of mobile terminal devices. To solve this problem, we optimize from the supply side by build P.M.R (problem of maximum revenue) problem. In P.M.R, we comprehensively consider the air rate of wireless communication, network delay, computing resource demand and other factors that affect the offloading task of terminals. To obtain the relative optimal solution of P.M.R, we construct a task unloading algorithm based on particle swarm optimization. And we set up a simulation experiment environment according to the mine network parameters. The experimental results show that this task unloading algorithm can effectively improve the efficiency of computing facilities in the system and achieve load balancing.Yifan MengJingzhao LiIEEEarticleMECtask offloadingresource allocationcoal mineElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 155534-155542 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MEC task offloading resource allocation coal mine Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	MEC task offloading resource allocation coal mine Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yifan Meng Jingzhao Li Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment
description	The mine improves the response speed of the IoT control system by sinking computing services into the MEC Server. In this case, computing resources are scattered and it is difficult to cope with the changing computing requirements of mobile terminal devices. To solve this problem, we optimize from the supply side by build P.M.R (problem of maximum revenue) problem. In P.M.R, we comprehensively consider the air rate of wireless communication, network delay, computing resource demand and other factors that affect the offloading task of terminals. To obtain the relative optimal solution of P.M.R, we construct a task unloading algorithm based on particle swarm optimization. And we set up a simulation experiment environment according to the mine network parameters. The experimental results show that this task unloading algorithm can effectively improve the efficiency of computing facilities in the system and achieve load balancing.
format	article
author	Yifan Meng Jingzhao Li
author_facet	Yifan Meng Jingzhao Li
author_sort	Yifan Meng
title	Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment
title_short	Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment
title_full	Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment
title_fullStr	Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment
title_full_unstemmed	Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment
title_sort	task offloading and resource allocation mechanism of moving edge computing in mining environment
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/2e7ce15ec0b84bc28d6cb54c1e81595e
work_keys_str_mv	AT yifanmeng taskoffloadingandresourceallocationmechanismofmovingedgecomputinginminingenvironment AT jingzhaoli taskoffloadingandresourceallocationmechanismofmovingedgecomputinginminingenvironment
_version_	1718409958786072576

Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment

Ejemplares similares