@inproceedings{afe7409a17c84ab1b6638f0d8794e408,
title = "Artifact: Implementation of an Adaptive Flow Management Framework for IoT Spaces",
abstract = "This paper presents the implementation and guideline of PlanIoT, an adaptive flow management framework for IoT-enhanced spaces. Such spaces are composed of applications deployed at the Edge with varying QoS requirements in terms of response time, timely delivery, throughput, etc. Configuring the Edge infrastructure requires tuning multiple parameters for optimal QoS satisfaction of applications. This is a complex task especially when the system has to be re-adapted (e.g., emergency situations). The PlanIoT framework manages application data flows in an adaptive manner. This is achieved via the following core software components: (i) a queueing network composer; (ii) an automated planning modeler; and (iii) an AI planner. This artifact presents implementation details of these components as well as guidelines for using the PlanIoT framework.",
keywords = "Adaptive Systems, Automated Planning, IoT, QoS, Smart Spaces",
author = "Hassan, \{Houssam Hajj\} and Georgios Bouloukakis and Ajay Kattepur and Denis Conan and Djamel Belaid",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 18th IEEE/ACM Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2023 ; Conference date: 15-05-2023 Through 16-05-2023",
year = "2023",
month = jan,
day = "1",
doi = "10.1109/SEAMS59076.2023.00032",
language = "English",
series = "ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems",
publisher = "IEEE Computer Society",
pages = "188--194",
booktitle = "Proceedings - 2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2023",
}