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2019 | OriginalPaper | Chapter

A Distilled Characterization of Resilience and Its Embraced Properties Based on State-Spaces

Authors : Jesper Andersson, Vincenzo Grassi, Raffaela Mirandola, Diego Perez-Palacin

Published in: Software Engineering for Resilient Systems

Publisher: Springer International Publishing

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Abstract

In recent years, we have observed the increasing interest in the system property resilience. We ascribe this increasing interest to the rapidly growing number of deployed, complex, socio-technical systems, which are facing uncertainty about changes they are expected to experience during their life-cycle and ways to deal with them. This paper contributes to current resilience research by focusing on the different definitions given for this system property, highlighting the risk that, using different terms in different communities, this contributes to create a “tower of Babel” problem, with the consequent difficulty in exchanging ideas and working together towards a common goal. We adopt an extended definition of dependability to define resilience. Based on that, we identify features of resilient systems, capture properties falling under the resilience umbrella, and define a conceptual framework for resilience characterization including how changes affect the system, strategies to design resilience, and discuss metrics for quantifying resilience at design and runtime.

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Footnotes
1
If the system dynamics is described by means of some stochastic model, \(\mu (T)\) is a random variable, whose moments or probability distribution can be used as actual resilience metrics.
 
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Metadata
Title
A Distilled Characterization of Resilience and Its Embraced Properties Based on State-Spaces
Authors
Jesper Andersson
Vincenzo Grassi
Raffaela Mirandola
Diego Perez-Palacin
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-30856-8_2

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