@inproceedings{nokey,

title = {Efficient Scheduling of Smart Building Energy Systems using AI Planning},

author = {Houssam {Hajj Hassan} and Jun Ma and Georgios Bouloukakis and Roberto Yus and Ajay Kattepur},

url = {https://inria.hal.science/hal-04605818},

year  = {2024},

date = {2024-06-24},

urldate = {2024-06-24},

booktitle = {International Conference on ICT for Sustainability (ICT4S 2024)},

abstract = {Buildings account for a significant share of global energy consumption, with Heating, Ventilation, and Air Conditioning (HVAC) systems being responsible for up to 60% of a building’s energy usage. For this purpose, existing scheduling and control solutions can be used to design more sustainable energy systems and limit their environmental impact. However, these approaches mainly consider HVAC, ignoring other energy systems in buildings such as lighting control and plug loads. In addition, these solutions have to be customized for a specific building instance, hindering portability across different application domains. This paper presents a holistic approach for efficiently scheduling smart building energy systems through AI planning methodologies. AI planning enables decoupling domain knowledge from problem representations, enhancing portability and allowing for straightforward runtime adaptation when needed. We evaluate our approach in a smart office setting and show how AI planning enables reducing energy consumption by up to 30%.},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{papadakis2024icsa,

title = {CCDUIT: A Software Overlay for Cross-Federation Collaboration between Data Spaces},

author = {Nikolaos Papadakis and Georgios Bouloukakis and Kostas Magoutis},

url = {https://hal.science/hal-04514045v1/document, PDF},

year  = {2024},

date = {2024-06-08},

urldate = {2024-06-08},

booktitle = {21st IEEE International Conference on Software Architecture (ICSA 2024)},

keywords = {data exchange, Data modeling, federation, pub/sub},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{papadakis:hal-04800098v1,

title = {Enabling IoT-enhanced Data Models for Context-aware Hydropower Plants},

author = {Nikolaos Papadakis and Georgios Bouloukakis and Kostas Magoutis},

doi = {10.1145/3703790.3703803},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {IoT 2024 - 14th International Conference on the Internet of Things},

address = {Oulu, Finland},

keywords = {Data modeling, IoT, smart cities},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bouloukakis2024icsa,

title = {Automating the evaluation of interoperability effectiveness in heterogeneous IoT systems},

author = {Georgios Bouloukakis and Nikolaos Georgantas and Ajay Kattepur and Houssam Hajj Hassan and Valérie Issarny},

url = {https://inria.hal.science/hal-04482364v1/document, PDF},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {21st IEEE International Conference on Software Architecture (ICSA 2024)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@inproceedings{ma2024artifact,

title = {Artifact: Co-zyBench: a thermal comfort provision benchmark for smart buildings},

author = {Jun Ma and Dimitrije Panic and Roberto Yus and Georgios Bouloukakis},

url = {https://inria.hal.science/hal-04514009/, PDF},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},

keywords = {benchmarking, digital twin, energy efficiency, personalized thermal comfort},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ma2024co,

title = {Co-zyBench: Using Co-Simulation and Digital Twins to Benchmark Thermal Comfort Provision in Smart Buildings},

author = {Jun Ma and Dimitrije Panic and Roberto Yus and Georgios Bouloukakis},

url = {https://inria.hal.science/hal-04514006/, PDF},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {The 22nd International Conference on Pervasive Computing and Communications (PerCom)},

abstract = {Heating, Ventilation, and Air Conditioning (HVAC) systems account for 40% to 50% of energy usage in commercial buildings. Thus, innovative ways to control and manage HVAC systems while preserving occupants' comfort are required. State-of-the-art solutions employ pervasive systems with sensors or smart devices to gauge individual thermal sensations, yet assessing these methods is challenging. Real-world experiments are expensive, limited in access, and often overlook occupant and regional diversity. To address this, we introduce Co-zyBench, a benchmark tool using a Digital Twin (DT) approach for evaluating personalized thermal comfort systems. It employs a co-simulation middleware interfacing between a DT of the smart building and its HVAC system and another DT representing occupants' dynamic thermal preferences in various spaces. The DTs that support Co-zyBench are generated based on information, including data captured by sensors, of the space in which the thermal comfort system has to be evaluated. Co-zyBench incorporates metrics for energy consumption, thermal comfort, and occupant equality. It also features reference DTs based on standard buildings, HVAC systems, and occupants with diverse thermal preferences. 

},

keywords = {benchmarking, digital twin, energy efficiency, personalized thermal comfort},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@inproceedings{edict2023dcossdemo,

title = {(DEMO) EDICT: A simulation tool for performance metrics datasets in IoT environments},

author = {Houssam Hajj Hassan and Georgios Bouloukakis and Denis Conan and Ajay Kattepur and Mahdi Trabolsi and Nikolaos Papadakis and Djamel Belaid and Kostas Magoutis},

url = {https://hal.univ-lyon2.fr/TSP-PARALLEL-DISTRIBUTED-SYSTEMS/hal-04125135v1, PDF},

year  = {2023},

date = {2023-06-15},

urldate = {2023-06-15},

booktitle = {19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3539597.3575781,

title = {SmartCityBus - A Platform for Smart Transportation Systems},

author = {Georgios Bouloukakis and Chrysostomos Zeginis and Nikolaos Papadakis and Kostas Magoutis and George Christodoulou and Chrysanthi Kosyfaki and Konstantinos Lampropoulos and Nikos Mamoulis},

url = {https://doi.org/10.1145/3539597.3575781, PDF},

doi = {10.1145/3539597.3575781},

isbn = {9781450394079},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining},

pages = {1299–1300},

publisher = {Association for Computing Machinery},

address = {Singapore},

series = {WSDM '23},

abstract = {With the growth of the Internet of Things (IoT), Smart(er) Cities have been a research goal of researchers, businesses and local authorities willing to adopt IoT technologies to improve their services. Among them, Smart Transportation [7,8], the integrated application of modern technologies and management strategies in transportation systems, refers to the adoption of new IoT solutions to improve urban mobility. These technologies aim to provide innovative solutions related to different modes of transport and traffic management and enable users to be better informed and make safer and 'smarter' use of transport networks. This talk presents SmartCityBus, a data-driven intelligent transportation system (ITS) whose main objective is to use online and offline data in order to provide accurate statistics and predictions and improve public transportation services in the short and medium/long term.},

keywords = {context brokers, smart cities, smart transportation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bouloukakis2023metacom,

title = {DONNA: A Data Model for Enabling Extensible and Efficient Metaverse Applications},

author = {Georgios Bouloukakis and Ajay Kattepur},

url = {https://inria.hal.science/hal-04122938/, PDF},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {International Workshop on Visualization & Simulation in the Metaverse (VSM 2023), MetaCom Workshops},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{houssam2023seams,

title = {PlanIoT: A Framework for Adaptive Data Flow Management in IoT-enhanced Spaces},

author = {Houssam Hajj Hassan and Georgios Bouloukakis and Ajay Kattepur and Denis Conan and Djamel Belaid},

url = {https://dumas.ccsd.cnrs.fr/TSP-PARALLEL-DISTRIBUTED-SYSTEMS/hal-04125131v1, PDF},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {18th Symposium on Software Engineering for Adaptive and Self-Managing Systems},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{houssam2023seamsartifact,

title = {Artifact: Implementation of an Adaptive Flow Management Framework for IoT Spaces},

author = {Houssam Hajj Hassan and Georgios Bouloukakis and Ajay Kattepur and Denis Conan and Djamel Belaid},

url = {https://ieeexplore.ieee.org/document/10174196, PDF},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {18th Symposium on Software Engineering for Adaptive and Self-Managing Systems},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{chio2023smartspecpmc,

title = {SmartSPEC: A framework to generate customizable, semantics-based smart space datasets},

author = {Andrew Chio and Daokun Jiang and Peeyush Gupta and Georgios Bouloukakis and Roberto Yus and Sharad Mehrotra and Nalini Venkatasubramanian},

url = {https://www.sciencedirect.com/science/article/pii/S1574119223000676, PDF},

doi = {https://doi.org/10.1016/j.pmcj.2023.101809},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Pervasive and Mobile Computing},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3583678.3596890,

title = {ComDeX: A Context-Aware Federated Platform for IoT-Enhanced Communities},

author = {Nikolaos Papadakis and Georgios Bouloukakis and Kostas Magoutis},

url = {https://doi.org/10.1145/3583678.3596890, PDF},

doi = {10.1145/3583678.3596890},

isbn = {9798400701221},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems},

pages = {37–48},

publisher = {Association for Computing Machinery},

address = {Neuchatel, Switzerland},

series = {DEBS '23},

abstract = {This paper presents ComDeX, a context-aware federated architecture and IoT platform for enabling data exchange between IoT-enhanced communities. Today, such smart communities are highly heterogeneous and siloed as they can offer IoT applications and services only to their local community inhabitants. ComDeX uses property graphs to represent smart community entities and automatically maps them to context-aware publish/subscribe messages. Such messages can be discovered and exchanged between communities via a hierarchical federated topology and an advertisement-based mechanism. The ComDeX prototype is implemented using well-known IoT technologies such as MQTT and NGSI-LD. ComDeX is evaluated using a realistic smart port scenario and compared against different federation topologies. The experimental results demonstrate that our approach outperforms existing NGSI-LD solutions in realistic IoT scenarios with synthetically generated workloads, with low impact in larger deployments where the number of hops between brokers of the federation increases.},

keywords = {federation, IoT, middleware, pub/sub, smart communities},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3583678.3603279,

title = {Demo: ComDeX Unveiled Demonstrating the Future of IoT-Enhanced Communities},

author = {Nikolaos Papadakis and Georgios Bouloukakis and Kostas Magoutis},

url = {https://doi.org/10.1145/3583678.3603279, PDF},

doi = {10.1145/3583678.3603279},

isbn = {9798400701221},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems},

pages = {187–190},

publisher = {Association for Computing Machinery},

address = {Neuchatel, Switzerland},

series = {DEBS '23},

abstract = {The rapidly expanding field of Internet of Things (IoT) has necessitated the development of effective and efficient systems for handling the vast quantities of data that are generated. However, the inherent diversity and complexity of IoT environments, coupled with the large volume of data, pose significant challenges to achieving interoperability and efficient data exchange. ComDeX [3], is a novel approach designed to meet these challenges. This demo paper presents the prototype of ComDeX, which is designed to facilitate efficient data exchange in smart communities using a federation of message brokers. The prototype harnesses NGSI-LD and MQTT standards along with an advertisement-based mechanism to enable dynamic data exchange. We detail its implementation and key functionalities, demonstrating its applicability through scenarios that mimic real-world smart communities.},

keywords = {data exchange, IoT, middleware, smart communities},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3567445.3567460,

title = {Enabling IoT-Enhanced Transportation Systems Using the NGSI Protocol},

author = {Georgios Bouloukakis and Chrysostomos Zeginis and Nikolaos Papadakis and Panagiotis Zervakis and Dimitris Plexousakis and Kostas Magoutis},

url = {https://doi.org/10.1145/3567445.3567460, PDF},

doi = {10.1145/3567445.3567460},

isbn = {9781450396653},

year  = {2022},

date = {2022-11-01},

urldate = {2022-11-01},

booktitle = {Proceedings of the 12th International Conference on the Internet of Things},

pages = {33–40},

publisher = {Association for Computing Machinery},

address = {Delft, Netherlands},

series = {IoT '22},

abstract = {This paper presents a model-based approach to facilitate the development of IoT applications in Transportation Systems. Existing public transportation services are provided by relying on standard data models such as GTFS. However, such models are limited in representing IoT-based infrastructures and the locations that IoT devices cover (e.g., bus seating areas). We introduce a context-aware publish/subscribe IoT platform that supports synchronous data requests, asynchronous notifications and analytics applications. Data requests are created using the system’s context, which in our case is based on a transport bus system. Both static and dynamic context properties are modeled by extending the NGSI smart data models. We then introduce a GTFS-to-NGSI mapping tool to enable the enhancement of existing GTFS-based transportation systems with IoT capabilities. We develop a prototype of our platform and we demonstrate the applicability of our approach using open data from the Roma Mobilità bus transportation system.},

keywords = {Data modeling, IoT, Transportation Systems},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{elhabbash:hal-03854171,

title = {A Middleware for Automatic Composition and Mediation in IoT Systems},

author = {Abdessalam Elhabbash and Yehia Elkhatib and Georgios Bouloukakis and Maria Salama},

url = {https://sciencespo.hal.science/TELECOM-SUDPARIS/hal-03854171v1, PDF},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {IoT 2022 - The 12th International Conference on the Internet of Things},

address = {Delft, Netherlands},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{papadakis:hal-03854302,

title = {Enabling Dynamic Smart Spaces using IoT-enhanced NGSI-LD Data Models},

author = {Nikolaos Papadakis and Georgios Bouloukakis and Kostas Magoutis},

url = {https://rnmsh.hal.science/TELECOM-SUDPARIS/hal-03854302v1, PDF},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {CWSI 2022 - 3rd IoT Connected World/Web Semantic Interoperability Workshop},

address = {Delft, Netherlands},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9767264,

title = {Artifact: SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations},

author = {Andrew Chio and Daokun Jiang and Peeyush Gupta and Georgios Bouloukakis and Roberto Yus and Sharad Mehrotra and Nalini Venkatasubramanian},

url = {https://hal.science/hal-03613965v1/file/SmartSPEC_PerCom_22_Artifact.pdf, PDF},

doi = {10.1109/PerComWorkshops53856.2022.9767264},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},

pages = {183-184},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{chio2022smartspec,

title = {SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations},

author = {Andrew Chio and Daokun Jiang and Peeyush Gupta and Georgios Bouloukakis and Roberto Yus and Sharad Mehrotra and Nalini Venkatasubramanian},

url = {https://ieeexplore.ieee.org/document/9762405, PDF},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {The 20th International Conference on Pervasive Computing and Communications (PerCom)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{chang2021demo,

title = {Demo Abstract: SmartParcels A What-If Analysis and Planning Tool for IoT-Enabled Smart Communities},

author = {Tung-Chun Chang and Georgios Bouloukakis and Chia-Ying Hsieh and Cheng-Hsin Hsu and Nalini Venkatasubramanian},

url = {https://hal.science/hal-03171363, PDF},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {International Conference on Internet-of-Things Design and Implementation (IoTDI)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{chang2021smartparcels,

title = {SmartParcels: cross-Layer IoT planning for smart communities},

author = {Tung-Chun Chang and Georgios Bouloukakis and Chia-Ying Hsieh and Cheng-Hsin Hsu and Nalini Venkatasubramanian},

url = {https://archivesic.ccsd.cnrs.fr/TELECOM-SUDPARIS/hal-03171372v1, PDF},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {IoTDI 2021: 6th ACM/IEEE nternational Conference on Internet-of-Things Design and Implementation},

pages = {1–13},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}