A Distributed Workflow Platform for Simulation

Best Paper AwardInternational audienceThis paper presents an approach to design, implement and deploy a simulation platform based on distributed workflows. It supports the smooth integration of existing software, e.g. Matlab, Scilab, Python, OpenFOAM, Paraview and user-defined programs. The contribution of the paper is a new feature which supports application-level fault-tolerance and exception-handling, i.e., resilience.Cet article présente une approche pour concevoir, réaliser et déployer une plateforme de simulation basée sur les workflows distribués. Elle permet l'intégration de logiciels existant, par exemple Matlab, Scilab, Python, OpenFOAM, Paraview et de programmes définis par les utilisateurs. La contribution est ici le support de la tolérance aux pannes par les applications et le traitement des exceptions, c-à-d la résilience

Dataflow-Oriented Provenance System for Multifusion Wireless Sensor Networks

We present a dataflow-oriented provenance system for data fusion sensor networks. This model works best with net- works sensing dynamic objects and although our system is generic, we model it on a proximity binary sensor network. We introduce a network-level fault-tolerance mechanism by using the cognitive strength of provenance models. Our provenance model reduce the limitations of a sensor’s capability and decrease the error-prone nature of wireless sen- sor networks. In addition provenance data is used in order to efficiently build the dynamic data fusion scenario and to adjust the network such as turning of some sensors. In a fault-tolerant, self-adjusting sensor network, sensor data produce more accurate results and with the improvements, tasks such as target localization is more precisely done. One other aspect of our network is that by having computation nodes spread to the network, the computation is done in a distributed manner and as nodes make decisions based on the provenance and fusion data available, the network has a distributed intelligence. Keywords: Multifusion, Wireless Sensor Networks, Open Provenance Mode