Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling

As Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices are becoming increasingly popular in the era of the Fourth Industrial Revolution, the orchestration and management of numerous fog devices encounter a scalability problem. In fog computing environments, to embrace various t...

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Autor principal:	Jongbeom Lim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fog computing IoT IIoT cloud computing resource management scheduling Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/f46c333fe5344786bf7e3b04f7f9b6a4
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spelling	oai:doaj.org-article:f46c333fe5344786bf7e3b04f7f9b6a42021-11-25T16:42:43ZScalable Fog Computing Orchestration for Reliable Cloud Task Scheduling10.3390/app1122109962076-3417https://doaj.org/article/f46c333fe5344786bf7e3b04f7f9b6a42021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10996https://doaj.org/toc/2076-3417As Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices are becoming increasingly popular in the era of the Fourth Industrial Revolution, the orchestration and management of numerous fog devices encounter a scalability problem. In fog computing environments, to embrace various types of computation, cloud virtualization technology is widely used. With virtualization technology, IoT and IIoT tasks can be run on virtual machines or containers, which are able to migrate from one machine to another. However, efficient and scalable orchestration of migrations for mobile users and devices in fog computing environments is not an easy task. Naïve or unmanaged migrations may impinge on the reliability of cloud tasks. In this paper, we propose a scalable fog computing orchestration mechanism for reliable cloud task scheduling. The proposed scalable orchestration mechanism considers live migrations of virtual machines and containers for the edge servers to reduce both cloud task failures and suspended time when a device is disconnected due to mobility. The performance evaluation shows that our proposed fog computing orchestration is scalable while preserving the reliability of cloud tasks.Jongbeom LimMDPI AGarticlefog computingIoTIIoTcloud computingresource managementschedulingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10996, p 10996 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fog computing IoT IIoT cloud computing resource management scheduling Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	fog computing IoT IIoT cloud computing resource management scheduling Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Jongbeom Lim Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling
description	As Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices are becoming increasingly popular in the era of the Fourth Industrial Revolution, the orchestration and management of numerous fog devices encounter a scalability problem. In fog computing environments, to embrace various types of computation, cloud virtualization technology is widely used. With virtualization technology, IoT and IIoT tasks can be run on virtual machines or containers, which are able to migrate from one machine to another. However, efficient and scalable orchestration of migrations for mobile users and devices in fog computing environments is not an easy task. Naïve or unmanaged migrations may impinge on the reliability of cloud tasks. In this paper, we propose a scalable fog computing orchestration mechanism for reliable cloud task scheduling. The proposed scalable orchestration mechanism considers live migrations of virtual machines and containers for the edge servers to reduce both cloud task failures and suspended time when a device is disconnected due to mobility. The performance evaluation shows that our proposed fog computing orchestration is scalable while preserving the reliability of cloud tasks.
format	article
author	Jongbeom Lim
author_facet	Jongbeom Lim
author_sort	Jongbeom Lim
title	Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling
title_short	Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling
title_full	Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling
title_fullStr	Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling
title_full_unstemmed	Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling
title_sort	scalable fog computing orchestration for reliable cloud task scheduling
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f46c333fe5344786bf7e3b04f7f9b6a4
work_keys_str_mv	AT jongbeomlim scalablefogcomputingorchestrationforreliablecloudtaskscheduling
_version_	1718413053449469952

Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling

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