Publications:
2024
Hassan, Houssam Hajj; Bouloukakis, Georgios; Scalzotto, Luca; Khaled, Nirmine; Conan, Denis; Kattepur, Ajay; Belaïd, Djamel
A Message Broker Architecture for Adaptive Data Exchange in the IoT Honorable Mention Proceedings Article
In: 21st IEEE International Conference on Software Architecture (ICSA 2024), 2024.
Links | BibTeX | Tags: data exchange, IoT, pub/sub, self-adaptive system
@inproceedings{hassan2024message,
title = {A Message Broker Architecture for Adaptive Data Exchange in the IoT},
author = {Houssam Hajj Hassan and Georgios Bouloukakis and Luca Scalzotto and Nirmine Khaled and Denis Conan and Ajay Kattepur and Djamel Belaïd},
url = {https://hal.science/hal-04514047/, PDF},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
booktitle = {21st IEEE International Conference on Software Architecture (ICSA 2024)},
keywords = {data exchange, IoT, pub/sub, self-adaptive system},
pubstate = {published},
tppubtype = {inproceedings}
}
2023
Ma, Jun; Bouloukakis, Georgios; Kattepur, Ajay; Yus, Roberto; Conan., Denis
DEMSA: a DT-enabled Middleware for Self-adaptive Smart Spaces Proceedings Article
In: The 1st International Workshop on Middleware for Digital Twin (Midd4DT) – held in conjunction with ACM/IFIP/Usenix Middleware 2023, pp. 1-6, Association for Computing Machinery, 2023, ISBN: 979-8-4007-0461-1.
Abstract | Links | BibTeX | Tags: digital twin, middleware, self-adaptive system
@inproceedings{ma2023demsa,
title = {DEMSA: a DT-enabled Middleware for Self-adaptive Smart Spaces},
author = { Jun Ma and Georgios Bouloukakis and Ajay Kattepur and Roberto Yus and Denis Conan.},
url = {https://hal.science/hal-04514015, PDF},
doi = {10.1145/3631319.3632303},
isbn = {979-8-4007-0461-1},
year = {2023},
date = {2023-12-01},
urldate = {2023-12-01},
booktitle = {The 1st International Workshop on Middleware for Digital Twin (Midd4DT) – held in conjunction with ACM/IFIP/Usenix Middleware 2023},
pages = {1-6},
publisher = {Association for Computing Machinery},
abstract = {Heating, Ventilation, and Air Conditioning (HVAC) systems account for a significant portion of energy consumption within buildings. In order to balance the effect of thermal comfort vis-a-vis energy savings, HVAC control strategies have been proposed. However, the strategies are static and do not take into account dynamic changes of consumers, hence creating sub-optimal outcomes. This paper proposes DEMSA, a Digital Twin (DT)-enabled middleware for the self-adaptation of smart buildings. The DEMSA middleware interconnects and coordinates intelligent data exchange be- tween the building edge server, digital twin and Artificial Intelligence (AI) planning nodes in order to invoke appropriate strategies. Moreover, DEMSA is paired with a self-adaptive mechanism that can detect the anomaly of generated planning and adaptively modify it. This process ensures balancing building energy consumption and thermal comfort requirements, without human intervention. The DEMSA middleware is described over a real smart space scenario.
},
keywords = {digital twin, middleware, self-adaptive system},
pubstate = {published},
tppubtype = {inproceedings}
}