Install guide

1-4 Release Note
Software Version 2.7.5
C613-10454-00 REV A
For example, if a router has two ports A and B, and:
port A is configured with a weighting factor of 1000
port B is configured with a weighting factor of 2000.
then the load balancer is twice as likely to select port B than port A. However, if
both ports are assigned the same weighting factor then the selection process
resorts to the round robin selection method.
Weighted Least Connect Distribution
This distribution method assigns new load balancer sessions to WAN ports
based on the current load (in sessions) on each WAN port. The load on a port is
determined by dividing the number of its current sessions, by its weighted
value. The WAN load balancer selects the WAN port with the smallest load, or
more precisely, the port with the least connections relative to its weighting. To
simplify configuration, weighted least connect uses the inverse of these values
then selects the port with the highest numeric value. This is explained in the
following example.
If a router has two ports A and B, and:
port A is configured with a weighting factor of 4000 and has 10 current
WAN load balancer sessions
port B is configured with a weighting factor of 2000 and has 4 current
WAN load balancer sessions
then the weighted least connect for port A will be, 4000 ÷ 10 = 400, and the
weighted least connect for port B will be 2000 ÷ 4 = 500.
In this case, the load balancer will select port B next because it has the higher
weighted least connect value.
Because the weighted least connect method is based on dynamic information,
it offers a slight advantage over the static ratio assignment method used by the
weighted lottery selection. In the weighted lottery configuration, distribution
of WAN load balancer sessions could become slightly unbalanced if some of
the WAN ports are unavailable for selection, or if some WAN load balancer
sessions persist for longer than others. By contrast, the weighted least connect
configuration would maintain an even session distribution.