Rights statement: © ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in IoT '22: Proceedings of the 12th International Conference on the Internet of Things http://doi.acm.org/10.1145/3567445.3567451
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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - A Middleware for Automatic Composition and Mediation in IoT Systems
AU - Elhabbash, Abdessalam
AU - Elkhatib, Yehia
AU - Bouloukakis, Georgios
AU - Salama, Maria
N1 - © ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in IoT '22: Proceedings of the 12th International Conference on the Internet of Things http://doi.acm.org/10.1145/3567445.3567451
PY - 2022/11/7
Y1 - 2022/11/7
N2 - This paper presents Hetero-Genius, a middleware architecture that enables construction and mediation in Internet of Things (IoT) systems. IoT systems are deployed across physical spaces such as urban parks, residential areas, and highways. The services provided by such IoT deployments are constrained to specific devices and deployment contexts. While existing interoperability solutions enable the “design time” development and deployment of IoT systems, it is often essential to dynamically compose systems that consist of other “small scale” IoT systems. To achieve this, post-deployment composition is needed, i.e., runtime composition of diverse IoT devices and capabilities. Hetero-Genius supports system and service discoverability, as well as automatic composability. We demonstrate this using a real-world Internet of Vehicles (IoV) scenario. Our experimental evaluation shows that developers can save up to 47% of their time when using Hetero-Genius, as well as improve code correctness by 55% on average.
AB - This paper presents Hetero-Genius, a middleware architecture that enables construction and mediation in Internet of Things (IoT) systems. IoT systems are deployed across physical spaces such as urban parks, residential areas, and highways. The services provided by such IoT deployments are constrained to specific devices and deployment contexts. While existing interoperability solutions enable the “design time” development and deployment of IoT systems, it is often essential to dynamically compose systems that consist of other “small scale” IoT systems. To achieve this, post-deployment composition is needed, i.e., runtime composition of diverse IoT devices and capabilities. Hetero-Genius supports system and service discoverability, as well as automatic composability. We demonstrate this using a real-world Internet of Vehicles (IoV) scenario. Our experimental evaluation shows that developers can save up to 47% of their time when using Hetero-Genius, as well as improve code correctness by 55% on average.
KW - Internet of Things
KW - Interoperability
KW - Mediation
KW - Ontology
KW - System composition
KW - Semantics
U2 - 10.1145/3567445.3567451
DO - 10.1145/3567445.3567451
M3 - Conference contribution/Paper
T3 - Proceedings of the 12th International Conference on the Internet of Things
SP - 127
EP - 134
BT - IoT '22: Proceedings of the 12th International Conference on the Internet of Things
PB - ACM
CY - New York
ER -