BeC3 : Behaviour Crowd Centric Composition for IoT applications - Archive ouverte HAL
Article Dans Une Revue Mobile Networks and Applications Année : 2013

BeC3 : Behaviour Crowd Centric Composition for IoT applications

Résumé

Service Oriented Computing (SOC) is a common way to build applications/services by composing distributed bricks of logic. Recently, the SOC paradigm has been considered for the design and implementation of Internet of Things (IoT) applications by abstracting objects as service providers or consumers. Based on this trend, we proposed in a previous work D-LITe: a lightweight RESTful virtual machine that allows ubiquitous logic description and deployment for IoT applications using Finite State Transducers (FST). Though D-LITe allows faster and more efficient application creation for heterogeneous objects, it turns out that FST design can be fastidious for inexperienced users. With that in mind, we propose in this paper BeC3 (Behaviour Crowd Centric Composition) an innovative crowd centric architecture, grounded on D-LITe. It provides a simpler way to compose interactions between IoT components. The idea is to reverse the bottom-up approach of SOC by a rather top-down vision in which the user expresses the expected result of his application by composing behaviours that are proposed by contributors. These behaviours are deployed on each concerned component, which then act exactly as needed to fulfil their role in the composition. The crowd-Centric aspect of this platform allows a community-based design, granting a wide panel of modular and incremental interactions for a wide variety of components. Eventually, BeC3 will give inexperienced users the ability to organise, interconnect and compose both state of the art web-services and IoT components to create interactive 2.0-like applications for the IoT.
Fichier principal
Vignette du fichier
CrowdCentricCompositionMONET.pdf (932.25 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00923277 , version 1 (02-01-2014)

Identifiants

Citer

Sylvain Cherrier, Yacine Ghamri-Doudane, Stephane Lohier, Ismail Salhi, Philippe Valembois. BeC3 : Behaviour Crowd Centric Composition for IoT applications. Mobile Networks and Applications, 2013, 1383-469X (1572-8153), pp.1. ⟨10.1007/s11036-013-0481-8⟩. ⟨hal-00923277⟩
474 Consultations
650 Téléchargements

Altmetric

Partager

More