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Open AccessArticle

A Soft Body Physics Simulator with Computational Offloading to the Cloud

1
Department of Multimedia Engineering, Kaunas University of Technology, 51368 Kaunas, Lithuania
2
Department of Software Engineering, Kaunas University of Technology, 51368 Kaunas, Lithuania
3
Institute of Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland
*
Author to whom correspondence should be addressed.
Information 2018, 9(12), 318; https://doi.org/10.3390/info9120318
Received: 26 November 2018 / Revised: 5 December 2018 / Accepted: 7 December 2018 / Published: 11 December 2018
(This article belongs to the Special Issue Cloud Gamification)
We describe the gamification of a soft physics simulator. We developed a game, called Jelly Dude, that allows the player to change and modify the game engine by tinkering with various physics parameters, creating custom game levels and installing scripts. The game engine is capable of simulating soft-body physics and can display the simulation results visually in real-time. In order to ensure high quality graphics in real time, we have implemented intelligent computational offloading to the cloud using Jordan Neural Network (JNN) with a fuzzy logic scheme for short time prediction of network traffic between a client and a cloud server. The experimental results show that computation offloading allowed us to increase the speed of graphics rendering in terms of frames per second, and to improve the precision of soft body modeling in terms of the number of particles used to represent a soft body. View Full-Text
Keywords: soft physics; body simulation; gamification; cloud computing; computational offloading soft physics; body simulation; gamification; cloud computing; computational offloading
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Danevičius, E.; Maskeliūnas, R.; Damaševičius, R.; Połap, D.; Woźniak, M. A Soft Body Physics Simulator with Computational Offloading to the Cloud. Information 2018, 9, 318.

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