In this paper, a software package for cellular automata simulation, 2D/3D visualization with a shared work support system was introduced, that was designed considering the needs of researchers in both local and virtual laboratories. As an example of cellular automata, abelian sandpile model has been chosen. An appropriate software package has been developed using Microsoft .Net and C# enabling users to work at the same time on the same models independent of the geographical location of users within the public network.

This study is dedicated to the possible usage of self-organized criticality models in large-scale computing systems for load balancing and energy-awareness. Methods and software tools aimed at modeling and visualization of dynamic tasks scheduling in virtual distributed systems constructed over sandpile and rotor-router models, are also presented.

Purpose of this paper is to describe the possible usage of artificial neural networks for Abelian Sandpile model research. For developing neural networks, Neuroph Studio has been chosen, and Abelian sandpile model has been considered on 2-dimensional grid.