Abstract
Internet of Things (IoT) is a set of technologies that aim at fitting together smart devices and applications to build an IoT ecosystem. The target of this kind of ecosystem is to enhance interaction between machines and humans through hardware to software binding while reducing cost and resource consumption. On the application level, IoT ecosystems were implemented by various technologies that all seek better interconnection, monitoring, and controlling of IoT smart devices. Among recent technologies, Microservices, which are a variant of the service-oriented architecture, are subject to great excitement. In fact, Microservices are an emerging technology built around Microservice paradigm which goal is to offer services with a small granularity, which exactly meets the distributed nature of IoT devices while maintaining a loosely coupled architecture between IoT components among other advantages. Efforts to build Microservice-based IoT platforms sooner emerged to take advantage of the numerous benefits of the Microservice paradigm to build scalable, interoperable, and dynamic ecosystems. The goal of this paper is to list these approaches, classify them and compare them using a Weighted Scoring Model (WSM) method. This involves, studying these platforms, establishing relevant criteria for comparison, assigning weights for each criterion, and finally calculating scores. The obtained results reveal the weaknesses and strengths of each of the studied platforms.
Highlights
Internet of things is gaining widespread interest and popularity across almost everyday life domains ranging from smart homes, through smart cars or smart factories to smart cities
Thereby, this paper proposes to make a comparative study of these approaches based on the Weighted Scoring Model (WSM) method
There is an application of the WSM method, which requires weight attribution to get final scores for each Microservices based Internet of Things (IoT) platform (Section 3)
Summary
Internet of things is gaining widespread interest and popularity across almost everyday life domains ranging from smart homes, through smart cars or smart factories to smart cities. Among general-purpose architectures, there are Microservices based IoT platforms. There is an application of the WSM method, which requires weight attribution to get final scores for each Microservices based IoT platform (Section 3). Internet of Things environments (i.e., IoT: Internet of Things) are becoming more and more present in our contemporary societies This paradigm was born from the idea of interconnecting different types of objects with each other through the Internet in order to improve the quality of life for humans. The IoT has enabled the creation of connected refrigerators, connected shoes, connected electric meters, connected cameras, etc In this context, the management of our main residence can be carried out remotely and even autonomously and intelligently. This technological advance improves vital services by optimizing performance and improving the quality of these services
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