End-to-End Available Bandwidth as a Random Autocorrelated QoS-Relevant Time-Series

Estimating the reliability of an end-to-end network path is critically important for applications that support remote real-time task execution. Available bandwidth defined as a minimum spare capacity of links constituting a network path is an important QoS characteristic of the path. In this paper, the authors demonstrate a new approach to modeling available bandwidth behavior from a time-series analysis prospective. In particular, they introduce a notion of crossing probability - the probability that the available bandwidth drops below the QoS critical threshold for the period of time required for the real-time task execution.