Optimization Model for Web Based Multimodal Interactive Simulations
This paper presents a technique for optimizing the performance of web based multimodal interactive simulations. For such applications where visual quality and the performance of simulations directly influence user experience, overloading of hardware resources may result in unsatisfactory reduction i...
| Veröffentlicht in: | Expert systems with applications. - 1999. - 42(2015), 12 vom: 15. Juli, Seite 5245-5255 |
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| Format: | Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2015
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| Zugriff auf das übergeordnete Werk: | Expert systems with applications |
| Schlagworte: | Journal Article Interactive Web environments for Medicine Optimization Simulation Virtual reality Web-based interaction |
| Zusammenfassung: | This paper presents a technique for optimizing the performance of web based multimodal interactive simulations. For such applications where visual quality and the performance of simulations directly influence user experience, overloading of hardware resources may result in unsatisfactory reduction in the quality of the simulation and user satisfaction. However, optimization of simulation performance on individual hardware platforms is not practical. Hence, we present a mixed integer programming model to optimize the performance of graphical rendering and simulation performance while satisfying application specific constraints. Our approach includes three distinct phases: identification, optimization and update. In the identification phase, the computing and rendering capabilities of the client device are evaluated using an exploratory proxy code. This data is utilized in conjunction with user specified design requirements in the optimization phase to ensure best possible computational resource allocation. The optimum solution is used for rendering (e.g. texture size, canvas resolution) and simulation parameters (e.g. simulation domain) in the update phase. Test results are presented on multiple hardware platforms with diverse computing and graphics capabilities to demonstrate the effectiveness of our approach |
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| Beschreibung: | Date Revised 30.09.2020 published: Print Citation Status PubMed-not-MEDLINE |
| ISSN: | 0957-4174 |