Autonomic Management Approach for Dynamic Service Based IoT Systems

Abstract

The Internet of Things (IoT) continues to expand undeniably fast to reach billions of connected heterogeneous devices. This is changing the way systems are built: new applications integrating software and physical devices are emerging in different domains, such as health, smart building, and smart cities. This brings opportunities to enable new added value services. Nevertheless, building and managing such highly dynamic and heterogeneous infrastructures built upon a multitude of mobile and resource-limited devices is challenging. In this paper, we propose a semantic based autonomic management approach for service oriented IoT systems. The aim is to support building and managing highly dynamic new value added IoT services. The proposed approach relies on a semantic based model to characterize the system properties and then enables semantic reasoning, and graph grammars to enable its management and evolution. A use case is proposed to show the related features of the proposed approach and an evaluation study is presented.

An Ontology Based Context-Aware Architecture for Smart Campus Applications

“…The Eclipse OM2M software 2 is an open source software initially developed at LAAS-CNRS that implements oneM2M…”

“…The autonomic service management is based on MAPE-K loop developed in [4]. In [2] several models are used in the Knowledge Base (KB) to interact with the IoT infrastructure deploy with OM2M. The Monitor and the Analyser use the ontology plus semantic reasoning and the Planner and the Executor use graph grammar rewriting rules to create actions to perform on IoT systems (figure 2).…”

“…One of the objectives of this paper is to generalize the ontology used in [2] for contents and dynamic broadcast to any interaction between an entity (human, building, vehicle, etc.) and an IoT system.…”