Modern service systems, like cloud computing platforms or data center environments, commonly face a high degree of heterogeneity. This heterogeneity is not only caused by different server speeds but also, binding task-server relations that must be taken into account when assigning incoming tasks. Unfortunately, there are hardly any theoretical performance guarantees as these systems do fall wit...

In high-density urban air mobility (UAM) operations, mitigating congestion and reducing structural constraints are key challenges. Pioneering airspace design projects expect the vehicles to fit into structured UAM corridor networks. However, most existing transport networks not capable of handling increasing traffic demand, which is likely cause congestion, complexity, safety issues. To adapt d...

The estimation of trip lengths has been proven to be a key feature for the application aggregated traffic models based on Macroscopic Fundamental Diagram. paths and distances traveled by vehicles in regional networks vary over time, due changes conditions. In this paper, we develop methodological framework explicitly determine traffic-dependent estimate their travel distances. This is incorpora...

Major disruption to a transportation network can disturb traffic flow patterns significantly. To deploy effective and efficient traffic restoration projects, a good prediction of the traffic flow pattern under network disruption is vital. Although traffic flow evolution processes have been modeled in various ways in the literature, very limited attention has been paid to the traffic flow evolut...

In this paper, an adaptive subcarrier assignment method based on a stable matching algorithm is considered. From the performance comparison with other assignment methods (Hungarian-algorithm-based, contiguous and interleaved), our assignment method, while of relatively low complexity, resulted in a satisfactory performance in terms of per-ONU and overall achievable throughputs, and also it resp...