PECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications

The cloud-based Internet of Things (IoT-Cloud) combines the advantages of the IoT and cloud computing, which not only expands the scope of cloud computing but also enhances the data processing capability of the IoT. Users always seek affordable and efficient services, which can be completed by the c...

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Autores principales:	Jianhua Liu, Zibo Wu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	edge computing cloud Internet of Things (IoT) efficiency trust Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/2d2d266fc0424493bb7aa2241ce85f1f
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spelling	oai:doaj.org-article:2d2d266fc0424493bb7aa2241ce85f1f2021-11-25T17:40:02ZPECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications10.3390/fi131102941999-5903https://doaj.org/article/2d2d266fc0424493bb7aa2241ce85f1f2021-11-01T00:00:00Zhttps://www.mdpi.com/1999-5903/13/11/294https://doaj.org/toc/1999-5903The cloud-based Internet of Things (IoT-Cloud) combines the advantages of the IoT and cloud computing, which not only expands the scope of cloud computing but also enhances the data processing capability of the IoT. Users always seek affordable and efficient services, which can be completed by the cooperation of all available network resources, such as edge computing nodes. However, current solutions exhibit significant security and efficiency problems that must be solved. Insider attacks could degrade the performance of the IoT-Cloud due to its natural environment and inherent open construction. Unfortunately, traditional security approaches cannot defend against these attacks effectively. In this paper, a novel practical edge computing service architecture (PECSA), which integrates a trust management methodology with dynamic cost evaluation schemes, is proposed to address these problems. In the architecture, the edge network devices and edge platform cooperate to achieve a shorter response time and/or less economic costs, as well as to enhance the effectiveness of the trust management methodology, respectively. To achieve faster responses for IoT-based requirements, all the edge computing devices and cloud resources cooperate in a reasonable way by evaluating computational cost and runtime resource capacity in the edge networks. Moreover, when cooperated with the edge platform, the edge networks compute trust values of linked nodes and find the best collaborative approach for each user to meet various service requirements. Experimental results demonstrate the efficiency and the security of the proposed architecture.Jianhua LiuZibo WuMDPI AGarticleedge computingcloudInternet of Things (IoT)efficiencytrustInformation technologyT58.5-58.64ENFuture Internet, Vol 13, Iss 294, p 294 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	edge computing cloud Internet of Things (IoT) efficiency trust Information technology T58.5-58.64
spellingShingle	edge computing cloud Internet of Things (IoT) efficiency trust Information technology T58.5-58.64 Jianhua Liu Zibo Wu PECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications
description	The cloud-based Internet of Things (IoT-Cloud) combines the advantages of the IoT and cloud computing, which not only expands the scope of cloud computing but also enhances the data processing capability of the IoT. Users always seek affordable and efficient services, which can be completed by the cooperation of all available network resources, such as edge computing nodes. However, current solutions exhibit significant security and efficiency problems that must be solved. Insider attacks could degrade the performance of the IoT-Cloud due to its natural environment and inherent open construction. Unfortunately, traditional security approaches cannot defend against these attacks effectively. In this paper, a novel practical edge computing service architecture (PECSA), which integrates a trust management methodology with dynamic cost evaluation schemes, is proposed to address these problems. In the architecture, the edge network devices and edge platform cooperate to achieve a shorter response time and/or less economic costs, as well as to enhance the effectiveness of the trust management methodology, respectively. To achieve faster responses for IoT-based requirements, all the edge computing devices and cloud resources cooperate in a reasonable way by evaluating computational cost and runtime resource capacity in the edge networks. Moreover, when cooperated with the edge platform, the edge networks compute trust values of linked nodes and find the best collaborative approach for each user to meet various service requirements. Experimental results demonstrate the efficiency and the security of the proposed architecture.
format	article
author	Jianhua Liu Zibo Wu
author_facet	Jianhua Liu Zibo Wu
author_sort	Jianhua Liu
title	PECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications
title_short	PECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications
title_full	PECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications
title_fullStr	PECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications
title_full_unstemmed	PECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications
title_sort	pecsa: practical edge computing service architecture applicable to adaptive iot-based applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2d2d266fc0424493bb7aa2241ce85f1f
work_keys_str_mv	AT jianhualiu pecsapracticaledgecomputingservicearchitectureapplicabletoadaptiveiotbasedapplications AT zibowu pecsapracticaledgecomputingservicearchitectureapplicabletoadaptiveiotbasedapplications
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PECSA: Practical Edge Computing Service Architecture Applicable to Adaptive IoT-Based Applications

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