Measurement-based end to end latency performance prediction for SLA verification

Authors:
C. M. Leung;J. A. Schormans
Affiliations:
Department of Electronic Engineering, Queen Mary, University of London, London E1 4NS, UK;Department of Electronic Engineering, Queen Mary, University of London, London E1 4NS, UK
Venue:
Journal of Systems and Software
Year:
2005

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Abstract

End-to-end delay is one of the important metrics used to define perceived quality of service. Measurement is a fundamental tool of network management to assess the performance of the network. The conventional approach to measure the performance metrics is on an intrusive basis that may cause extra-burden to the network. In contrast to this, our scheme can be considered as non-intrusive. The main idea relies on the knowledge of the queuing behaviour. The queue length is non-intrusively monitored, and then we capture the parameters of the queue state distribution of every queue along the path in order to deduce the end-to-end delay performance.