Title :
Measurement-based end to end latency performance prediction for SLA verification
Author :
Leung, C.M. ; Schormans, J.A.
Author_Institution :
Dept. of Electron. Eng., Univ. of London, UK
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.
Keywords :
Markov processes; delays; quality of service; queueing theory; telecommunication network management; telecommunication traffic; Markovian traffic; QoS; SLA verification; end-to-end delay performance; measurement-based end to end latency; network management; network performance; nonintrusive measurement; performance metrics; performance prediction; quality of service; queue length; queue state distribution; queuing behaviour; service level agreements; Aggregates; Condition monitoring; Delay estimation; Frequency measurement; Probability distribution; Propagation delay; Quality of service; Sampling methods; Testing; Traffic control;
Conference_Titel :
Computer Communications and Networks, 2002. Proceedings. Eleventh International Conference on
Print_ISBN :
0-7803-7553-X
DOI :
10.1109/ICCCN.2002.1043100