Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations

TL;DR

This paper introduces a novel approach combining surrogate models and data assimilation to significantly reduce communication overhead in mobile simulations, enabling faster and more efficient results delivery on resource-constrained devices.

Contribution

The paper presents an optimized method that leverages surrogate models and data assimilation to improve mobile simulation performance and reduce data transmission requirements.

Findings

Up to 6.5 times faster than traditional streaming methods

Reduces communication overhead significantly

Maintains quality constraints in mobile simulations

Abstract

Numerical simulations on mobile devices are an important tool for engineers and decision makers in the field. However, providing simulation results on mobile devices is challenging due to the complexity of the simulation, requiring remote server resources and distributed mobile computation. The additional large size of multi-dimensional simulation results leads to the insufficient performance of existing approaches, especially when the bandwidth of wireless communication is scarce. In this article, we present an optimized novel approach utilizing surrogate models and data assimilation techniques to reduce the communication overhead. Evaluations show that our approach is up to $6.5$ times faster than streaming results from the server while still meeting required quality constraints.