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.
%0 Journal Article
%1 dibak2021using
%A Dibak, Christoph
%A Nowak, Wolfgang
%A Dürr, Frank
%A Rothermel, Kurt
%D 2021
%I IEEE
%J IEEE transactions on mobile computing
%K exc2075 myown
%R 10.1109/TMC.2021.3108750
%T Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations
%X 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.
@article{dibak2021using,
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.},
added-at = {2022-03-28T07:47:53.000+0200},
author = {Dibak, Christoph and Nowak, Wolfgang and Dürr, Frank and Rothermel, Kurt},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/21ad5fa586ed7df4ca53f6171be5fda29/frank-durr},
doi = {10.1109/TMC.2021.3108750},
interhash = {60254c6fba404a68828c86d26a3f6c40},
intrahash = {1ad5fa586ed7df4ca53f6171be5fda29},
issn = {{1536-1233} and {1558-0660}},
journal = {IEEE transactions on mobile computing},
keywords = {exc2075 myown},
language = {eng},
publisher = {IEEE},
timestamp = {2022-03-28T05:47:53.000+0200},
title = {Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations},
year = 2021
}
