A Large-Scale Software-Defined Internet of Things Platform for Provisioning IoT Services on Demand

Nguyen, Thi Minh Chau

A Large-Scale Software-Defined Internet of Things Platform for Provisioning IoT Services on Demand

Nguyen, Thi Minh Chau

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Publication Type:: Thesis
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Nguyen, Thi Minh Chau
dc.date.accessioned	2020-05-26T04:20:29Z
dc.date.available	2020-05-26T04:20:29Z
dc.date.issued	2020
dc.identifier.uri	http://hdl.handle.net/10453/140947
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_AU
dc.description.abstract	Internet of Things (IoT) has developed into an interconnected platform infrastructure for providing essential services ranging from personal health care, smart homes and cities to the manufacturing industry. Relying on such an infrastructure, a multitude of emerging IoT services will no doubt be developed for not only local regions but also multiple separated regions spreading over a wide geographical area. However, existing IoT systems are mostly rigid and cannot be easily adapted or programmed to accommodate new services. The challenge is also in orchestrating a large number of sensors/IoT devices, many with limited capability, into intelligent, useful, and on-demand services. Many efforts have been made to address the issue, but very little has been attempted to consider an overall solution to a programmable IoT ecosystem that includes IoT service provision components, IoT devices, and transporting infrastructure. Moreover, there is no framework/platform that allows an end-to-end control, management, and orchestration of IoT resources in accordance with IoT demands. We apply the benefits of the two promising technologies including software-defined networking and network function virtualization in provisioning IoT services on demand over a wide region, and overcome challenges in applying the technologies to constrained IoT devices/systems. We propose a large-scale software-defined IoT (LSSD-IoT) model and develop the LSSD-IoT platform. The model provides two levels of management and orchestration at the cluster and device level. At the cluster level, we develop a software-defined Internet of Things Cluster (SD-IoTC) controller that is capable of controlling and managing both IoT clusters and network infrastructure that accommodates the IoT systems. At the device level, each IoT cluster under the control and management of the SD-IoTC controller needs to be programmable and manageable for provisioning IoT services on demand. For that purpose, we propose a software-defined Internet of Things (SD-IoT) model (local platform) with three novel components, including the IoT device-constrained controller, the S-MANAGE protocol, and the software-defined virtual sensor. The novelty of this research lies in the novel approach to programmable and re-usable devices in the provision of IoT services on demand over a wide area. It enables i) IoT service providers to control end-to-end quality of services of IoT services provision over a large-scale IoT environment; ii) owners of IoT systems to be able to gain benefits from sharing their IoT resources; iii) IoT application developers to develop innovative and comprehensive IoT applications on demand with more options regarding QoS, security, mobility, or billing.	en_AU
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/140947/2/02Whole.pdf
dc.rights	au.edu.uts.lib/ppc
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A Large-Scale Software-Defined Internet of Things Platform for Provisioning IoT Services on Demand	en_AU
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Internet of Things (IoT) has developed into an interconnected platform infrastructure for providing essential services ranging from personal health care, smart homes and cities to the manufacturing industry. Relying on such an infrastructure, a multitude of emerging IoT services will no doubt be developed for not only local regions but also multiple separated regions spreading over a wide geographical area. However, existing IoT systems are mostly rigid and cannot be easily adapted or programmed to accommodate new services. The challenge is also in orchestrating a large number of sensors/IoT devices, many with limited capability, into intelligent, useful, and on-demand services. Many efforts have been made to address the issue, but very little has been attempted to consider an overall solution to a programmable IoT ecosystem that includes IoT service provision components, IoT devices, and transporting infrastructure. Moreover, there is no framework/platform that allows an end-to-end control, management, and orchestration of IoT resources in accordance with IoT demands. We apply the benefits of the two promising technologies including software-defined networking and network function virtualization in provisioning IoT services on demand over a wide region, and overcome challenges in applying the technologies to constrained IoT devices/systems. We propose a large-scale software-defined IoT (LSSD-IoT) model and develop the LSSD-IoT platform. The model provides two levels of management and orchestration at the cluster and device level. At the cluster level, we develop a software-defined Internet of Things Cluster (SD-IoTC) controller that is capable of controlling and managing both IoT clusters and network infrastructure that accommodates the IoT systems. At the device level, each IoT cluster under the control and management of the SD-IoTC controller needs to be programmable and manageable for provisioning IoT services on demand. For that purpose, we propose a software-defined Internet of Things (SD-IoT) model (local platform) with three novel components, including the IoT device-constrained controller, the S-MANAGE protocol, and the software-defined virtual sensor. The novelty of this research lies in the novel approach to programmable and re-usable devices in the provision of IoT services on demand over a wide area. It enables i) IoT service providers to control end-to-end quality of services of IoT services provision over a large-scale IoT environment; ii) owners of IoT systems to be able to gain benefits from sharing their IoT resources; iii) IoT application developers to develop innovative and comprehensive IoT applications on demand with more options regarding QoS, security, mobility, or billing.

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