Aspect of Assembly: From Theory to Performance

2015 5th International Conference on the Internet of Things (IOT)

et al. 2015

Self Cite

International audienceSemantic web technologies are gaining momentum in the WoT (Web of Things) community for its ability to manage the increasing semantic heterogeneity between devices (Semantic Web of Things, SWoT) in ambient environments. However, most of the approaches rely on ad-hoc and static knowledge models (ontologies) designed for specific domains and applications. While it is a solution for handling the semantic heterogeneity issue, it offers no perspective in term of ontology evolution over time. We study in this paper several approaches allowing: (1) to handle the semantic heterogeneity issue; (2) to capitalize the knowledge contributions throughout the life of the system allowing it to potentially better assist people in their environment over time. One approach is validated on two real use-cases

Section: Discussionmentioning

confidence: 99%

Run-time knowledge model enrichment in SWoT: A step toward ambient services selection relevancy

Rocher

Tigli

2015 5th International Conference on the Internet of Things (IOT)

et al. 2015

Self Cite

“…This part can thus be considered as a middleware between AS paradigm to design an ambient system and the runtime composition of services. We also evaluated the response time of the automatic composition process according to numerous system parameters [6]. This allowed to assess the adequation between the ambient system complexity and its responsiveness to context changes.…”

Section: An Autonomic Context Driven Compositionmentioning

confidence: 99%

A generic service oriented software platform to design ambient intelligent systems

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 AC

Rey

Rocher

et al. 2015

Self Cite

Smart devices or smart things are widely deployed within environments and have to work in concert to assist users in many domains. The interoperability between things is achieved by the help of Internet and Web of Things. Despite this progress, a main challenge remains to fully manage the heterogeneity of the smart things: handling their dynamicity at runtime. In this paper, we present a three layers platform to address this challenge. The first layer monitors the appearance and disappearance of smart things in the environment. The second one provides mechanisms to dynamically compose the services provided by smart things. The third layer offers an autonomic context-driven composition mechanism based on a new software paradigm: 'application schemas'. This layer manage the interferences and conflicts that may occur during the autonomic composition process.

“…This Auto Adaptive System supports the adaptation of application during runtime depending on the presence or absence of devices [8]. A performance model is available in [16], allowing to estimate the responsiveness of the adapta- …”

Section: Application and Current Implementationsmentioning

confidence: 99%

Intermediate Common Model—The Solution to Separate Concerns and Responsiveness in Dynamic Context-Aware System

Rey

Tigli

et al. 2017

JCC

Self Cite

Nowadays, many works are interested in adapting to the context without taking into account neither the responsiveness to adapt their solution, nor the ability of designers to model all the relevant concerns. Our paper provides a new architecture for context management that tries to solve both problems. This approach is also based on the analysis and synthesis of context-aware frameworks proposed in literature. Our solution is focus on a separation of contextual concerns at the design phase and preserves it as much as possible at runtime. For this, we introduce the notion of independent views that allow designers to focus on their domain of expertise. At runtime, the architecture is splitted in 2 independent levels of adaptation. The highest is in charge of current context identification and manages each view independently. The lowest handles the adaptation of the application according to the rules granted by the previous level.