Title
Performance evaluation using periodic system-state measurements
Author
Ellens, W.
Mandjes, M.
van den Berg, J.L.
Worm, D.T.H.
Błaszczuk, S.
Publication year
2015
Abstract
This paper deals with the problem of inferring short time-scale fluctuations of a system's behavior from periodic state measurements. In particular, we devise a novel, efficient procedure to compute four interesting performance metrics for a transient birth-death process on an interval of fixed length with given begin and end states: the probability to exceed a predefined (critical) level m, and the expectation of the time, area, and number of arrivals above level m. Moreover, our procedure allows to compute the variances and cross-correlations of the latter three metrics. The asymptotic behavior of the metrics for small and large measurement intervals is also derived. An extensive numerical study in the context of communication networks reveals the impact of important system parameters on the considered performance metrics, and shows that the three latter metrics are very highly correlated. We also illustrate through this numerical study how our analysis can be used in practical situations to support e.g.; capacity management and sla verification. © 2015 Elsevier B.V.
Subject
ICT
PNS - Performance of Networks & Systems
TS - Technical Sciences
Infrastructures
Informatics
Information Society
Exceedance probability
Measurements
Reversible Markov process
Transient birth-death process
Markov processes
Measurements
Asymptotic behaviors
Birth-death process
Capacity management
Performance metrics
System behaviors
Telecommunication networks
To reference this document use:
http://resolver.tudelft.nl/uuid:05126b34-e9e6-46ec-9228-3bee11586e43
DOI
https://doi.org/10.1016/j.peva.2015.07.004
TNO identifier
528367
Source
Performance Evaluation, 93, 27-46
Document type
article