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The purpose of this article is to propose and evaluate a novel system architecture for Smart City applications which uses ontology reasoning and a distributed stream…
The purpose of this article is to propose and evaluate a novel system architecture for Smart City applications which uses ontology reasoning and a distributed stream processing framework on the cloud. In the domain of Smart City, often methodologies of semantic modeling and automated inference are applied. However, semantic models often face performance problems when applied in large scale.
The problem domain is addressed by using methods from Big Data processing in combination with semantic models. The architecture is designed in a way that for the Smart City model still traditional semantic models and rule engines can be used. However, sensor data occurring at such Smart Cities are pre-processed by a Big Data streaming platform to lower the workload to be processed by the rule engine.
By creating a real-world implementation of the proposed architecture and running simulations of Smart Cities of different sizes, on top of this implementation, the authors found that the combination of Big Data streaming platforms with semantic reasoning is a valid approach to the problem.
In this article, real-world sensor data from only two buildings were extrapolated for the simulations. Obviously, real-world scenarios will have a more complex set of sensor input values, which needs to be addressed in future work.
The simulations show that merely using a streaming platform as a buffer for sensor input values already increases the sensor data throughput and that by applying intelligent filtering in the streaming platform, the actual number of rule executions can be limited to a minimum.
Cities have recognised information and communication technology (ICT) as a major enabler for transforming into “smarter” service providers. Mauritius is considering…
Cities have recognised information and communication technology (ICT) as a major enabler for transforming into “smarter” service providers. Mauritius is considering embarking on a smart island initiative, and as such, the existing towns in Mauritius have a major role to play in the transformation process. This study aims to focus on a systematic analysis of ICT architectures. This study proposes recommendations with regard to ICT infrastructures. This study elicits the contribution of those services towards the overall transformation of the towns, which in turn will form an integral part of the smart island initiative of the country.
A first step towards developing a smart ICT architecture is to understand what a smart ICT architecture constitutes of and the frameworks that can be used to develop these architectures. The main objectives of this systematic literature review (SLR) are as follows: understand what a smart ICT architecture consists of and derive a definition that will be used throughout the research for the development of ICT architecture for the smart local councils for Mauritius; analyse various frameworks, architectures and models that have been used in existing literature for the development of smart ICT architectures.
This SLR was conducted with a view to investigate ICT architectures with respect to smart governance. An in-depth review, followed by a critical analysis was performed based on the research questions set. The contribution of this study include the formulation of a definition for ICT architecture for smart local councils, which can be applied to any sphere characterised by similar aspects with reference to smart local governance. Albeit existing frameworks such as The Open Group Architecture Framework, Federal Enterprise Architecture and Zachman Framework, it was observed that in most cases, ICT architectures were built from scratch potentially because of specificities of each country/city.
This work proposes ICT architectures for smart local council.