The Berkeley algorithm is a method of clock synchronisation in distributed computing which assumes no machine has an accurate time source. It was developed by Gusella and Zatti at the University of California, Berkeley in 1989. Like Cristian's algorithm, it is intended for use within intranets.
Unlike Cristian's algorithm, the server process in the Berkeley algorithm, called the leader, periodically polls other follower processes. Generally speaking, the algorithm is:
With this method the average cancels out individual clock's tendencies to drift. Gusella and Zatti released results involving 15 computers whose clocks were synchronised to within about 20-25 milliseconds using their protocol.
Computer systems normally avoid rewinding their clock when they receive a negative clock alteration from the leader. Doing so would break the property of monotonic time, which is a fundamental assumption in certain algorithms in the system itself or in programs such as make. A simple solution to this problem is to halt the clock for the duration specified by the leader, but this simplistic solution can also cause problems, although they are less severe. For minor corrections, most systems slow the clock, applying the correction over a longer period of time.
Often, any client whose clock differs by a value outside of a given tolerance is disregarded when averaging the results. This prevents the overall system time from being drastically skewed due to one erroneous clock.