Riga 27: | Riga 27: | ||
# TCP Bic and TCP Cubic provoke roughly three times the number of timeouts obtained by TCP Westwood+ and TCP NewReno, TCP Cubic exhibiting the worse performance. | # TCP Bic and TCP Cubic provoke roughly three times the number of timeouts obtained by TCP Westwood+ and TCP NewReno, TCP Cubic exhibiting the worse performance. | ||
− | * In the case of the uplink channel the algorithms exhibited similar performances, due to the fact that the moderate size of cwnd forced TCP Cubic and TCP Bic to use the linear probing in order to be TCP friendly (see [http://netsrv.csc.ncsu.edu/export/cubic_a_new_tcp_2008.pdf [1]). | + | * In the case of the uplink channel the algorithms exhibited similar performances, due to the fact that the moderate size of cwnd forced TCP Cubic and TCP Bic to use the linear probing in order to be TCP friendly (see [http://netsrv.csc.ncsu.edu/export/cubic_a_new_tcp_2008.pdf [1]]). |
We report results obtained by an extensive measurement campaign over a live HSDPA network involving more than 3000 flows resulting in around 60 hours of active measurements. The considered TCP variants are the following:
The experimental evaluation has been carried out by accessing the public Internet using a HSDPA card (see figure below).
The following instantaneous variable measurements have been collected by using the libnetmeas library:
The main findings of the investigation can be summarized as follows:
We report cumulative distribution function plots:
We report results obtained by an extensive measurement campaign over a live HSDPA network involving more than 3000 flows resulting in around 60 hours of active measurements. The considered TCP variants are the following:
The experimental evaluation has been carried out by accessing the public Internet using a HSDPA card (see figure below).
The following instantaneous variable measurements have been collected by using the libnetmeas library:
The main findings of the investigation can be summarized as follows:
We report cumulative distribution function plots: