Abstract
The paper presents a characterisation analysis of a measurement algorithm based on a Discrete-time Extended Kalman Filter (DEKF), which has recently been proposed for the estimation and tracking of end-to-end available bandwidth. The analysis is carried out by means of simulations for different rates of variations of the available bandwidth and permits assessing the performance of the measurement algorithm for different values of the filter parameters, that is, the covariance matrixes of the measurement and process noise.
Highlights
The available bandwidth (AB) of a path, known as unused bandwidth, is a key network metric [1]
AB of a link i is defined as the unused or spare capacity of i during the time interval T. It depends on underlying transmission technology and propagation medium as well as the traffic load that occurs in the considered time interval [1, 10]
The relative errors are plotted over a plan whose axes represent the covariance matrixes of the measurement and process noise, respectively
Summary
The available bandwidth (AB) of a path, known as unused bandwidth, is a key network metric [1]. AB of a link i is defined as the unused or spare capacity of i during the time interval T. It depends on underlying transmission technology and propagation medium as well as the traffic load that occurs in the considered time interval [1, 10]. The literature presents several tools to estimate AB of an end-to-end path, which are classified according to the underlying models that can be classified in PGM and PRMbased models. The literature presents several pieces of work based on the PGM model that loosen some of the underlying hypothesis with the ultimate purpose of evaluating its performance in more demanding scenarios.
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