The fluid flow model is used to model variable server and link rates, as they appear in mobile channels due to fading, bit error recovery and failed channel reservations. Assuming a Gilbert-Elliott model for the channel, the influence of transmission quality on network Quality of Service (QoS) might be studied. Thus, the fluid flow model assumes the role of a model that might be used for dimensioning and performance evaluation both at the edge and inside a network. We present a user-friendly, contemporary, flexible, fast and numerically stabilized computing environment for the fluid flow model with a well-known user interface that is able to handle multiple users and that might be used as well for batch processing. We discuss two case studies that emphasize the crucial impact of the relationship between server and source dynamics on QoS.
Inflytandet av kanalkvaliten i ett trådlöst nätsegment på överföringskvaliten på nätverksnivån studeras. Detta sker med hjälp av en (informations-)flödesmodell med tidsvariabelt kapacitet. Resultaten visar att ändringshastigheten av kanalkvaliten innehar ett stort inflytande på kvaliten på nätverksnivan. Dessutom presenterar rapporten ett användarvänligt och numeriskt stabilt mjukvarakoncept for beräkningsverktyget.