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Autonomic Approach based on Semantics and Checkpointing for IoT System Management

François Aïssaoui 1
1 LAAS-SARA - Équipe Services et Architectures pour Réseaux Avancés
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : The Internet of Things (IoT) has to handle more and more connected, communicating and moving devices. The software infrastructure needs to insure a set of parameters to keep the system in a correct state. This infrastructure comprises a set of software processes executed on complex hardware platforms such as servers, gateways or things. The dynamic property of the IoT requires a perpetual adaptation and reconfiguration of the software infrastructure. In this thesis, we propose the usage of another migration mechanism: the “checkpointing” mechanism on both the servers and the gateways. This mechanism is light and able to store the software process state during the migration. The problem addressed by the thesis is to use this checkpointing mechanism in an efficient and autonomous way to preserve the properties expected from an IoT software infrastructure. A first contribution discusses the optimization of the checkpointing mechanism on an IoT gateway. A second contribution provides an autonomic and semantic approach to orchestrate the checkpointing mechanism. A third contribution discusses the optimization performed by a meta-heuristic algorithm on the software distribution. The contributions presented have been validated on several use cases for the IoT including optimization of software processes placement depending on the computing and energy capacity of IoT equipment in a logistic scenario.
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Submitted on : Tuesday, February 5, 2019 - 11:06:31 AM
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  • HAL Id : tel-02007331, version 1


François Aïssaoui. Autonomic Approach based on Semantics and Checkpointing for IoT System Management. Networking and Internet Architecture [cs.NI]. Université Toulouse 1 Capitole (UT1 Capitole), 2018. English. ⟨tel-02007331⟩



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