Demo: Server-assisted interactive mobile simulations for pervasive applications

Abstract

Emerging augmented reality devices allow for visualizing results of numerical simulations ubiquitously. This enables decision makers and engineers in the field to make better decisions. However, computation of resource-intensive simulation models on resource-poor and battery-powered mobile devices requires to drastically reduce the quality of the simulation. We therefore proposed approaches utilizing a remote server and the Reduced Basis Method (RBM) to generate a reduced model of the simulation. In our demo, we demonstrate the effectiveness of our approaches for mobile simulations. Our demo consists of two devices, a mobile device and a server. Both devices are connected via wireless network. The mobile device visualizes the result of a complex computation. Parameters of the simulation are effected by sensors of the mobile device. The user can choose between computing on the mobile device, computing solely on the server, or computing using our approach.

Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations

“…In our previous works, we used the reduced basis method (RBM) that reduces the complexity of simulations to provide faster results [2], [7], [8]. The general idea is to precompute a simpler model that provides only approximate results at much lower cost.…”

“…Our recently proposed methods for mobile simulations are based on existing numerical methods, namely model order reduction, to provide efficient distributed execution between a server and a mobile device [2], [7], [8]. Model order reduction generates a reduced model in a pre-computation step.…”

Enabling interactive mobile simulations through distributed reduced models

“…One interesting application of such devices is to display the result of numerical simulations. Having simulation results ubiquitously available supports engineers or decision makers in the field [1,2,3]. As an example for such pervasive applications, consider an engineer who has to find a solution for placing a hot exhaust tube during deployment of a machine in a factory.…”