2017
DOI: 10.1007/978-3-319-56877-5_3
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An Architecture for Interoperable IoT Ecosystems

Abstract: The Internet of Things (IoT) is maturing and more and more IoT platforms that give access to things are emerging. However, the real potential of the IoT lies in growing IoT cross-domain ecosystems on top of these platforms that will deliver new, unanticipated value added applications and services. We identified two crucial aspects that are important to grow an IoT ecosystem: (i) interoperability to enable cross-platform and even cross-domain application developments on top of IoT platforms as well as (ii) mark… Show more

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Cited by 22 publications
(21 citation statements)
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References 8 publications
(14 reference statements)
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“…These characteristics are formalized in terms of "Yes", "No", and "Partially" availability criteria in which our proposed solution supports all the aforementioned characteristics. As seen in Table 1, Schmid et al [5] propose an interoperable IoT architecture called BIG IoT, enabling multi-platform applications development and offering a cluster management solution. Similarly, another layered architecture called 5 [Online].…”
Section: Iot Architectures and Edge-cloud Distributed Frameworkmentioning
confidence: 99%
See 1 more Smart Citation
“…These characteristics are formalized in terms of "Yes", "No", and "Partially" availability criteria in which our proposed solution supports all the aforementioned characteristics. As seen in Table 1, Schmid et al [5] propose an interoperable IoT architecture called BIG IoT, enabling multi-platform applications development and offering a cluster management solution. Similarly, another layered architecture called 5 [Online].…”
Section: Iot Architectures and Edge-cloud Distributed Frameworkmentioning
confidence: 99%
“…To overcome such weaknesses, most data are processed at the edge, closer to the data sources. Edge computing, as a new computing concept, enables the envisaging of an intelligent computing infrastructure for the Internet (of Things), making physical objects smarter by connecting them with the virtual world [3,4], while working seamlessly across heterogeneous clusters [5]. Such Edge-Cloud data processing architectures often consist of five core phases, as illustrated in Fig.…”
Section: Introductionmentioning
confidence: 99%
“…For example, healthcare data needs to comply with Health Insurance Portability and Accountability Act (HIPAA) in USA [30] and the Privacy Act of 1988 in Australia [31]. b) Solutions: Early works [23] [24] [16] exploring this idea rely on the cloud for managing all aspects of the marketplace and thus suffer from known issues such as scalability, expensive infrastructure and single point of failure that plague centralized systems. Recently, distributed approaches that leverage blockchain technology for designing IoT data marketplaces have been proposed [13] [14].…”
Section: E Iot Data Marketsmentioning
confidence: 99%
“…The works presented in [19][20][21] suggest the idea of involving the end users into the process and service building to discover and control things for a better utilization of the applications, which can be interpreted as the DIY idea. Many IoT marketplaces [22][23][24][25] works have been presented in the recent past, and many context-aware virtual objects and virtual IoT services [26][27][28][29][30][31] works have also been proposed.…”
Section: Related Workmentioning
confidence: 99%