An Analytical Framework to Deal with Changing Points and Variable Distributions in Quality Assessment

Dario Bruneo (), Salvatore Distefano (), Francesco Longo () and Marco Scarpa ()
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Dario Bruneo: Università degli Studi di Messina
Salvatore Distefano: Higher Institute for Information Technology and Information Systems Kazan Federal University
Francesco Longo: Università degli Studi di Messina
Marco Scarpa: Università degli Studi di Messina

A chapter in Principles of Performance and Reliability Modeling and Evaluation, 2016, pp 27-48 from Springer

Abstract: Abstract Nonfunctional properties such as dependability and performance have growing impact on the design of a broad range of systems and services, where tighter constraints and stronger requirements have to be met. This way, aspects such as dependencies or interference, quite often neglected, now have to be taken into account due to the higher demand in terms of quality. In this chapter, we associate such aspects with operating conditions for a system, proposing an analytical framework to evaluate the effects of condition changing to the system quality properties. Starting from the phase type expansion technique, we developed a fitting algorithm able to catch the behavior of the system at changing points, implementing a codomain memory policy forcing the continuity of the observed quantity when operating conditions change. Then, to also deal with the state-space explosion problem of the underlying stochastic process, we resort to Kronecker algebra providing a tool able to evaluate, both in transient and steady states, nonfunctional properties of systems affected by variable operating conditions. Some examples from different domains are discussed to demonstrate the effectiveness of the proposed framework and its suitability to a wide range of problems.

Keywords: Cumulative Distribution Function; Delivery Ratio; Sojourn Time; Phase Type Distribution; Path Section (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-30599-8_2

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