Towards a flexible data stream analytics platform based on the GCM autonomous software component technology

International audienceBig data stream analytics platforms not only need to support performance-dictated elasticity benefiting for instance from Cloud environments. They should also support analytics that can evolve dynamically from the application viewpoint, given data nature can change so the necessary treatments on them. The benefit is that this can avoid to undeploy the current analytics, modify it off-line, redeploy the new version, and resume the analysis, missing data that arrived in the meantime. We also believe that such evolution should better be driven by autonomic behaviors whenever possible. We argue that a software component based technology, as the one we have developed so far, GCM/ProActive, can be a good fit to these needs. Using it, we present our solution, still under development, named GCM-streaming, which to our knowledge seems to be quite original

UbiUnity: a Dynamic Visual Simulation Framework for Web of Things

International audienceThe development of smart spaces is a complex and challenging task. The choice of suitable sensors and actuators to deploy in these physical testbeds is difficult without experimentation. Moreover, several challenges still remain in improving and testing new fields of application based on Web of Things (WoT). In this paper, we present UbiUnity, a dynamic visual simulator environment which can be used during the design phase of smart spaces. Our approach allows to define web services for devices (WSD) associated to 3D virtual shape in the simulated environment. These WSD are defined by combining simple actions in the virtual environment allowing the researchers to focus on the definition of new algorithms or middleware to manage the smart space. Moreover, UbiUnity can dynamically create these WSD during the execution of the simulation with respect to the fluidity of the graphics rendering