agents into a large-scale distributed simulation in the Airspace Operations Laboratory (AOL) at NASA Ames Research Center. Before detailing the agent model and architecture and discussing simulation integration issues, the paper describes a methodology for using agents to understand human

underground freight transport or intelligent automated production in the automotive industry. Where traditionally simulations were used to answer what-if questions, these tools evolve towards realtime control systems in production environments. The evolutionary path contains a number of phases, which

effects of different marking schemes in large-scale DDoS attacks. Based on the simulation and evaluation results, more efficient and effective algorithms, techniques and procedures to combat these attacks may be developed.

Abstract. Computational steering is an interactive remote control of a long running application. The user can adopt it, e.g., to adjust simulation parameters on the fly. Simulation of large-scale biochemical networks is often computationally expensive, particularly stochastic and hybrid simulation

of virtually-mobile nodes is intercepted and redirected to a mobility model from where it is selectively forwarded to other nodes that are virtually in range. We present a distributed implementation architecture that potentially allows the simulation/emulation of large-scale wireless sensor networks with large

types of traffic in best effort networks. Then, we extend the application of this formulation to multi-service networks where priorities and bandwidth sharing schemes can be applied to different flows. Our approach is mainly oriented towards very large scale networks where traditional simulation

the ones who are trusted for the management and configuration of a running ISP network. In this paper, we present an online management and experimentation system with a “game ” interface to train network administrators and explore what-if scenarios without having to risk the large-scale network operation

to the traffic demand module. Activity data for the framework is provided by a large scale survey, conducted on 2500 households in the study area. The agent-based simulation model consists of over six million agents, one for each inhabitant, to represent the Flemish population. The simulation of the linked

I first thank my thesis advisors Thiemo Voigt and Adam Dunkels for being my excellent advisors, and also for being the great colleagues you still are. Thiemo and Adam have complemented each other superbly, giving me feedback, perspectives, insights, and having made every single new venture truly fun. My deepest thanks also go to my professor Per Gunningberg, Uppsala University. Per has in a seemingly easy way spotted erroneous assumptions, has valued my research contributions, and has connected my own work with another broader world of research. I want to thank all colleagues in the Networked Embedded Systems group:

Abstract. To realize large-scale socially embedded multiagent systems, this paper proposes a new system design methodology towards society-centered design. We have already developed the scenario description language Q, which describes interaction protocols that link agents to society. Using