Performance of TCP-friendly streaming sessions in the presence of heavy-tailed elastic flows

Adopting the processor-sharing (PS) discipline to model the bandwidth sharing, we investigate the tail distribution of the deficit in service received by the streaming sessions compared to a nominal service target. The latter metric provides an indication for the quality experienced by the streaming applications. The results yield valuable qualitative insight into the occurrence of persistent quality disruption for the streaming users. We also examine the delay performance of the elastic flows by exploiting a useful relationship with a processor-sharing queue with permanent customers.