Server-assisted interactive mobile simulations for pervasive applications

Dibak, Christoph; Schmidt, Andreas; Dürr, Frank; Haasdonk, Bernard; Rothermel, Kurt

doi:10.1109/percom.2017.7917857

Cited by 9 publications

(12 citation statements)

References 14 publications

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“…For further details on the methods implemented for this demo, we refer to our full paper at PerCom 2017 [1].…”

Section: Discussionmentioning

confidence: 99%

“…As error indicator, we use the residual of the equation, which has a well-known semantic for the simulation expert and has an efficient implementation using pre-computing (c.f. Appendix in our full paper [1]). After finding parameter µ max , the middleware will call the simulation code with µ max as parameter to obtain a new snapshot for the reduced basis.…”

Section: B Middlewarementioning

confidence: 99%

“…Emerging augmented reality (AR) devices, such as the Microsoft Hololens, allow for new forms of interaction with software. One interesting use-case for AR is to display the result of numerical simulations [1]. This helps decision makers and engineers to make decisions in the field [2], [3].…”

Section: Introductionmentioning

confidence: 99%

“…All these requirements cannot be met by the mobile device itself. In our approach, presented in a full paper at PerCom 2017 [1], we therefore, on the one hand, utilize computing resources of a remote server, and, on the other hand, use a reduced model of the simulation generated by the Reduced Basis Method (RBM).…”

Section: Introductionmentioning

confidence: 99%

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Demo: Server-assisted interactive mobile simulations for pervasive applications

Dibak¹,

Dürr²,

Rothermel³

2017

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

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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.

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“…For further details on the methods implemented for this demo, we refer to our full paper at PerCom 2017 [1].…”

Section: Discussionmentioning

confidence: 99%

Section: B Middlewarementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Demo: Server-assisted interactive mobile simulations for pervasive applications

Dibak¹,

Dürr²,

Rothermel³

2017

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Self Cite

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“…This work is an extension of our prior work [6], in which we presented two approaches to enable mobile interactive simulations and one approach to reduce the amount of data to be read from internal storage. In this work, we extend our previous work by another approach for reducing the read operations which is built on top of the previously introduced approach.…”

Section: Introductionmentioning

confidence: 99%

Enabling interactive mobile simulations through distributed reduced models

Dibak

Haasdonk

Schmidt

et al. 2018

Pervasive and Mobile Computing

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Currently, various hardware and software companies are developing augmented reality devices, most prominently Microsoft with its Hololens. Besides gaming, such devices can be used for serious pervasive applications, like interactive mobile simulations to support engineers in the field. Interactive simulations have high demands on resources, which the mobile device alone is unable to satisfy. Therefore, we propose a framework to support mobile simulations by distributing the computation between the mobile device and a remote server based on the reduced basis method. Evaluations show that we can speed-up the numerical computation by over 131 times while using 73 times less energy.

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