Sentence examples for congestion parameters from inspiring English sources
The knowledge of the status of the wireless link at the moment in which the loss event is detected allows to better adjust the degree of TCP reaction and to better tune its congestion parameters.
Load aware routing metrics capture the traffic concentration and congestion parameters at node level to introduce load awareness in the routing which has a significant effect specially in multi casting and real time applications, i.e., VoIP and Video over IP in community networks.
Consequently, the TCP congestion parameters (e.g. Cwnd) can be suitably adjusted, in order to regulate the aggressiveness of TCP scheme, thus increasing its throughput and reducing packet losses (e.g., if congestion is predominant, it might be better to trigger slow start phase rather than injecting further packets in a congested environment).
This technique is energy-efficient, but the reliability of the successful delivery of the packets to the destination is not guaranteed, for on receiving back pressure signals (meaning, the signals received by the source node from the intermediate nodes), the nodes drop their packets based on the congestion parameters.
A significant correlation was found between TPR and left ventricular congestion parameters, LVEDP and left atrial weight (r = 0.328, p = 0.026; r = 0.355, p = 0.016, resp ., but not with pulmonary and right ventricular congestion parameters, nor with renal parameters.
Moreover, endothelium-independent relaxation was significantly correlated with congestion parameters LVEDP, left atrial weight and lung weight, but not with any of the renal parameters.
The hysteresis output is retained, (S^{left (n^ - t_{w}right)}_{text {hyst}}phantom {dot {i}!}), when the congestion parameter ({H^{left (n^right)}}) crossovers the lower threshold limit as shown by point P4.
When the congestion parameter (phantom {dot {i}!}{H^{left (n^right)}}) reaches the lower threshold limit as shown by the point P1, the output S hyst changes to ρ which is the exponential moving average equation given in (17).
After t w scheduling epochs, the packet loss ratio (phantom {dot {i}!}text {plr}^{left (n^right)}_{j^) and congestion parameter (H^{left (n^right)}phantom {dot {i}!}) are computed according to (12) and (13), respectively.
According to the figure, the output (S^{left (n^right)}_{text {hyst}}phantom {dot {i}!}) latches to (P(S_{mathrm {{thr}_{h}}} phantom {dot {i}!}) when the congestion parameter (phantom {dot {i}!}{H^{left (n^right)}}) crosses the higher threshold limit.
The basic design principle of the scheme is to tune the congestion control parameters α and β such that the congestion window sizes in the corresponding TCP senders can be adjusted with an explicit notification from the OBS edge node.
