NDLI: Assessing the Impact of Imperfect Diagnosis on Service Reliability: A Parsimonious Model Approach

Content Provider	IEEE Xplore Digital Library
Author	Grønbæk, J. Schwefel, H.-P. Kjærgărd, J.K. Toftegaard, T.S.
Copyright Year	2010
Abstract	Modelling imperfect diagnosis performance in service reliability models can help identify best recovery strategies and diagnosis settings. In this work, a parsimonious Markov model of imperfect diagnosis is proposed. Capturing complex diagnosis behavior in the model is non-trivial. In our approach, representative diagnosis performance metrics have been defined and their closed-form solutions obtained for the Markov model. These equations enable model parameterization from traces of implemented diagnosis components. The diagnosis model has been integrated in a reliability model assessing the impact of diagnosis imperfections on reliability for time-constrained SCTP/TCP-based services. This enables: (a) a model-based sensitivity analysis of the service reliability to the diagnosis performance metrics, and (b) investigation of whether the chosen metrics provide a sufficiently detailed characterization of the diagnosis functions for the studied reliability problem. In a simulation study we finally analyze trade-off properties of diagnosis heuristics from literature, map them to the analytic Markov model, and investigate its suitability for service reliability optimization.
Starting Page	165
Ending Page	174
File Size	430467
Page Count	10
File Format	PDF
ISBN	9780769540078
e-ISBN	9781424465941
DOI	10.1109/EDCC.2010.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-28
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Availability end-node Sensitivity analysis diagnosis model imperfect diagnosis Birth disorders Reliability engineering Closed-form solution State-space methods Equations Fault diagnosis fault management Analytical models policy evaluation
Content Type	Text
Resource Type	Article

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