Suchergebnisse

This intraorganizational simulation allows participants to negotiate three aspects of a Carrera (Porsche) marketing/production plan. Participants read background information and assume the role of six vice‐presidents and a president. In their role descriptions they learn of their positions on production volume, body styles, and turbo charger options for the Carrera. Subsequently the participants—with equal number for and against every issue (the president is neutral)—hammer out the product plan for the next year.

High-resolution traffic simulators require a large number of hardware resources, which are not accessible to everyone. Cloud computing is a possible solution to the democratization research by enabling access to high-performance resources. Within this thesis, a reference architecture for cloud-based traffic simulation is introduced and evaluated. An agent-based traffic simulation (CityMoS) is used as a use-case. The capabilities of cloud computing are demonstrated, while the challenges in data extraction and search-space exploration are presented and addressed. ; Detaillierte Simulatoren benötigen eine große Anzahl an Hardwareressourcen. Ein Ansatz dieses Problem zu bewältigen ist Cloud-Computing, das den Zugang zu hoch-performanten Ressourcen erleichtert. In dieser Dissertation wird eine cloudbasierte Referenzarchitektur für agenten-basierte Simulationen entworfen, anschließend im Verkehrssimulator CityMoS umgesetzt und evaluiert. Mit der hier vorgestellten Lösung wird somit eine verteilte und zeitsparende Erkundung von großen Parameterräumen möglich.