NDLI: Discrete-time dynamic modeling for software and services composition as an extension of the Markov chain approach

Content Provider	IEEE Xplore Digital Library
Author	Filieri, A. Ghezzi, C. Leva, A. Maggio, M.
Copyright Year	2012
Description	Author affiliation: Department of Automatic Control, Lund University, Ole Römers väg 1, 223 63, Sweden (Maggio, M.) \|\| Dipartimento of Elettronica e Informazione, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Italy (Filieri, A.; Ghezzi, C.; Leva, A.)
Abstract	Discrete Time Markov Chains (DTMCs) and Continuous Time Markov Chains (CTMCs) are often used to model various types of phenomena, such as, for example, the behavior of software products. In that case, Markov chains are widely used to describe possible time-varying behavior of “self-adaptive” software systems, where the transition from one state to another represents alternative choices at the software code level, taken according to a certain probability distribution. From a control-theoretical standpoint, some of these probabilities can be interpreted as control signals and others can just be observed. However, the translation between a DTMC or CTMC model and a corresponding first principle model, that can be used to design a control system is not immediate. This paper investigates a possible solution for translating a CTMC model into a dynamic system, with focus on the control of computing systems components. Notice that DTMC models can be translated as well, providing additional information.
Starting Page	557
Ending Page	562
File Size	259041
Page Count	6
File Format	PDF
ISBN	9781467345033
ISSN	10851992
e-ISBN	9781467345057
e-ISBN	9781467345040
DOI	10.1109/CCA.2012.6402664
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-03
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Markov processes Computational modeling Software Equations Adaptation models Process control
Content Type	Text
Resource Type	Article

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