Agent based Tools for Modeling and Simulation of Self-Organization in Peer-to-Peer, Ad-Hoc and other Complex Networks

TL;DR

This paper evaluates the potential of agent-based modeling tools, particularly NetLogo, for simulating complex computer networks like peer-to-peer and pervasive systems, highlighting their applicability beyond social simulations.

Contribution

It demonstrates the applicability and effectiveness of NetLogo, an agent-based simulation tool, for modeling complex network systems involving environment and human interactions.

Findings

NetLogo can effectively model complex network behaviors.

Agent-based tools offer valuable insights into network self-organization.

Potential for broader application in computer network simulation.

Abstract

Agent-based modeling and simulation tools provide a mature platform for development of complex simulations. They however, have not been applied much in the domain of mainstream modeling and simulation of computer networks. In this article, we evaluate how and if these tools can offer any value-addition in the modeling & simulation of complex networks such as pervasive computing, large-scale peer-to-peer systems, and networks involving considerable environment and human/animal/habitat interaction. Specifically, we demonstrate the effectiveness of NetLogo - a tool that has been widely used in the area of agent-based social simulation.