MMPP analysis of network traffic using a transition window

摘要

Data communication in network traffic is modeled in real time and is analyzed using a 2-state Markov modified Poissen process (MMPP). The traffic inter-arrival times for bursty and idle states define a transition window [λ¹_max, λ²_min] represented by the boundary values λ¹_max for the inter-arrival time for bursty traffic, and λ²_min for the inter-arrival time for idle traffic. Changes in the values of λ¹_max and λ²_min are tracked over time, and the size of the transition window is enlarged or decreased based upon relative changes in these values. If the inter-rival times for the bursty state and the idle state become approximately equal, the model defaults to a single state model. The modeling is applicable to the synchronization of polling and blocking in a low-latency network system. This permits the adoptive selection of poll or block to maximize CPU utilization and interrupt latency.