Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques

TL;DR

This paper discusses methods for evaluating emergent behaviors in large-scale IoT systems through distributed simulation, addressing challenges of scale and diversity in modeling such complex interactions.

Contribution

It proposes a distributed simulation approach and reviews techniques to optimize simulation performance for emergent IoT behavior analysis.

Findings

Overview of modeling and simulation techniques for IoT

Discussion on optimizing simulation performance

Focus on scalable evaluation methods

Abstract

With the increase in Internet of Things devices and more decentralized architectures we see a new type of application gain importance, a type where local interactions between individual entities lead to a global emergent behavior, Emergent-based IoT (EBI) Systems. In this position paper we explore techniques to evaluate this emergent behavior in IoT applications. Because of the required scale and diversity this is not an easy task. Therefore, we mainly focus on a distributed simulation approach and provide an overview of possible techniques that could optimize the overall simulation performance. Our focus is both on modeling and simulation technology.