Architecture Design for Human-Driven Systems

TL;DR

This paper presents a modeling and simulation approach that integrates human social behaviors with system architecture to optimize sustainability and user experience in socio-technical systems, demonstrated through a crowd management case study.

Contribution

It introduces a novel combined agent-based social simulation and model-driven engineering framework for designing human-centric system architectures.

Findings

Optimal architectural models improve QoE and sustainability.

Scenario-based analysis identifies best configurations for crowd management.

Real data enhances the accuracy of simulation outcomes.

Abstract

This paper highlights humans' social and mobility behaviors' role in the continuous engineering of sustainable socio-technical systems. Our approach relates the humans' characteristics and intentions with the system's goals, and models such interaction. Such a modeling approach aligns the architectural design and associated quality of service (QoS) with humans' quality of experience (QoE). We design a simulation environment that combines agent-based social simulation (ABSS) with architectural models generated through a model-driven engineering approach. Our modeling approach facilitates choosing the best architectural model and system configuration to enhance both the humans' and system's sustainability. We apply our approach to the Uffizi Galleries crowd management system. Taking advantage of real data, we model different scenarios that impact QoE. We then assess various architectural models with different SW/HW configurations to propose the optimal model based on different scenarios concerning QoS-QoE requirements.