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Communication Dans Un Congrès Année : 2023

PlanIoT: a framework for adaptive data flow management in IoT-enhanced spaces

Résumé

This paper presents PlanIoT, a middleware approach for enabling adaptive data flow management in IoT-enhanced spaces (e.g., buildings) using automated planning methodologies. Today's sensorized spaces deploy applications falling to diverse categories such as analytics, real-time, transactional, video streaming and emergency response. Depending on the category, applications have different QoS requirements related to timely delivery, networking resources, accuracy, etc. Typically, state-of-the-art data exchange systems introduce policies for bandwidth allocation or prioritization for specific data types and applications (e.g., camera data). PlanIoT introduces a generic QoS model to evaluate the performance of data flowing in Edge infrastructures and generates their performance metrics dataset. Such a dataset is used as input to automated planning representations to intelligently satisfy QoS requirements of deployed applications. The experimental results show that PlanIoT improves the end-to-end response time of time-sensitive flows by more than 50%, especially with an overloaded Edge infrastructure. We also show the adaptivity of our approach by considering emergency cases that require Edge infrastructure reconfiguration.
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hal-04125131 , version 1 (11-06-2023)

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Houssam Hajj Hassan, Georgios Bouloukakis, Ajay Kattepur, Denis Conan, Djamel Belaïd. PlanIoT: a framework for adaptive data flow management in IoT-enhanced spaces. 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS ), May 2023, Melbourbe, Australia. ⟨10.1109/SEAMS59076.2023.00029⟩. ⟨hal-04125131⟩
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