Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations
| العنوان: | Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations |
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| المؤلفون: | Frank Duerr, Kurt Rothermel, Wolfgang Nowak, Christoph Dibak |
| المصدر: | IEEE Transactions on Mobile Computing. :1-1 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Ubiquitous computing, Computer simulation, Computer Networks and Communications, Computer science, Distributed computing, Mobile computing, Numerical models, computer.software_genre, Data modeling, Data assimilation, Computer Science - Distributed, Parallel, and Cluster Computing, Server, Middleware (distributed applications), Distributed, Parallel, and Cluster Computing (cs.DC), Electrical and Electronic Engineering, computer, Software |
| الوصف: | 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. |
| تدمد: | 2161-9875 1536-1233 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1350cb98668f57f1af768a3b5481791e https://doi.org/10.1109/tmc.2021.3108750 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....1350cb98668f57f1af768a3b5481791e |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21619875 15361233 |
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