Smoothing algorithm for round trip time (rtt) measurements

Abstract

A smoothing algorithm for round trip time (RTT) measurements is provided to a network device to effectively deal with variations or other potential anomalies that may occur in RTT measurements. The algorithm involves: first determining what should be considered a very high or a very small value for a RTT sample. If a new RTT sample is in an acceptable range, then the network device performs a relatively basic smoothing. If the new RTT sample is much higher than a current RTT value, then the network device ignores the value of this RTT sample a few times. If the network device still detects this large value after ignoring that value for some time, then the network device factors this value into the current RTT value using an additive increase. Similarly, if the value of the new RTT sample is much lower than current RTT value, the network device ignores the value of the new RTT sample a few times. If the network device still sees this small/low value after ignoring that value for sometime, then the network device factors this value into the current RTT value using a multiplicative decrease. An effective RTT value results, which can be used singly or in combination with other metrics to load balance network traffic.