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The main question is when to increase the timeout.
However, this is not an efficient solution, since processes might increase the timeout unnecessarily.
This is because processes might increase the timeout at different rounds.
The problem with this solution is that different processes might increase the timeout at different points in time.
Similar(56)
An efficient solution is increasing the timeout when a correct process requires that.
We now discuss different adaptive strategies for the timeout value Γ v p ). First, we consider the approach of [7]: increasing the timeout linearly (whenever the view changes).
Increasing the timeout in every phase provides a simple solution, in which all processes adopt the same timeout for a given phase.
We will refer to this parameterizations by A. Then we consider the approach used by PBFT [4]: increasing the timeout exponentially (whenever the view changes).
We will refer to this parameterization by B. Finally, we propose another strategy, which consists of increasing the timeout exponentially every t+1 views.
The proposed algorithm reduces the number of packets out of order by increasing the hard timeout time of flow entries when the CPU's usage increases and by gathering statistics from the switch more often.
As the number of nodes increases the percentage of timeouts is drastically reduced, except for DPIP, which does not reduce the percentage of timeouts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com