A gap analysis of Internet-of-Things platforms

By Julien Mineraud, O. Mazhelis, Xiang Su, Sasu Tarkoma. Computer Communications, 2015

452 citations recorded by the source corpus.

We are experiencing an abundance of Internet-of-Things (IoT) middleware solutions that provide connectivity for sensors and actuators to the Internet. To gain a widespread adoption, these middleware solutions, referred to as platforms, have to meet the expectations of different players in the IoT ecosystem, including device providers, application developers, and end-users, among others.In this article, we evaluate a representative sample of these platforms, both proprietary and open-source, on the basis of their ability to meet the expectations of different IoT users. The evaluation is thus more focused on how ready and usable these platforms are for IoT ecosystem players, rather than on the peculiarities of the underlying technological layers. The evaluation is carried out as a gap analysis of the current IoT landscape with respect to (i) the support for heterogeneous sensing and actuating technologies, (ii) the data ownership and its implications for security and privacy, (iii) data processing and data sharing capabilities, (iv) the support offered to application developers, (v) the completeness of an IoT ecosystem, and (vi) the availability of dedicated IoT marketplaces. The gap analysis aims to highlight the deficiencies of today's solutions to improve their integration to tomorrow's ecosystems. In order to strengthen the finding of our analysis, we conducted a survey among the partners of the Finnish IoT program, counting over 350 experts, to evaluate the most critical issues for the development of future IoT platforms. Based on the results of our analysis and our survey, we conclude this article with a list of recommendations for extending these IoT platforms in order to fill in the gaps.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/2a6c6209eef85218ab13245ba2d81ffe6fcb1c48

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Citations in the corpus

Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, methodology): “References [19], [20], and [65] surveyed”
A Survey of IoT-Enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services (2018, background): “However, despite the recent state-of-the-art advances ( e.g., [248]–[253]) research gaps can be still identiﬁed in all the layers of IoT platforms [257].”
Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges (2017, background): “It thus allows for building a bridging platform for all the sensors, actuators and systems used in the smart home, irrespective of the manufacturer and can successfully fulfill the integration requirements, which are critical for seamless operation of the smart home [98,99].”
The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems (2017, background): “Authors in Mineraud et al. (2016a, b) presented a comprehensive gap analysis of IoT paradigm based on Integration of sensing and actuating technologies, Data ownership, data processing and data sharing; Fig.”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “Indeed, several cloud-based platforms have been proposed over the last years from both research projects and industrial communities [48], [49].”
A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues (2017, methodology): “[23] described only the cloud software platforms such as “ThingWorx”.”