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      A Soft Body Physics Simulator with Computational Offloading to the Cloud

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          Abstract

          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.

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          Most cited references 31

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          Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing

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            Data structure forsoft objects

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              Mind Games: Game Engines as an Architecture for Intuitive Physics

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                Author and article information

                Journal
                INFOGG
                Information
                Information
                MDPI AG
                2078-2489
                December 2018
                December 11 2018
                : 9
                : 12
                : 318
                Article
                10.3390/info9120318
                © 2018
                Product
                Self URI (article page): http://www.mdpi.com/2078-2489/9/12/318

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