Abstract

The internet of things (IoT) has been a major buzzword in recent years, with the potential to connect a huge number of devices to the internet and each other. The integration of all of these devices and data sources into a cohesive system is one of the key challenges involved in the development of the IoT. Cloud integration is one approach that can be used to achieve this, and there are several different cloud-based IoT platforms available. As consequences, IoT and cloud computing has drastically changed the environment of technological development. A synergistic strategy that combines the strengths of these two breakthrough technologies into one package is estimated to provide enormous benefits. Despite these advantages, the integration of such technologies poses numerous issues and challenges. An in-depth analysis of each of these technologies is discussed, along with the advantages, challenges, and limitations associated with convergent approach. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) method has been used to identify all relevant articles from the literature, and the most relevant articles have been included for further analysis. The relevant articles have been analysed using the method of the Bibliometric network, such as co-authorship analysis, term co-occurrence. Furthermore, taxonomy of IoT-based cloud applications has been discussed and quality of service (QoS) factors-based analysis for each applications domain has been done. In this review, we take a look at some of the most popular IoT cloud integration platforms and compare their features and capabilities. In addition, we have investigated a variety of related technologies and anticipated future developments.

Keyword

Internet of things (IoT), Cloud computing, Edge computing, Bibliometric analysis, Preferred reporting items for systematic reviews and meta-analyses (PRISMA), Real-world applications.

Cite this article

Ansari M, Ali SA, Alam M

Refference

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