Towards the Analysis & Prediction of Complex System Behaviour in SAPERE


Marco Alberti, Andrea Omicini

Jeremy Pitt (eds.)
Self-Adaptive and Self-Organizing Systems Workshops (SASOW), pages 193-198
IEEE Computer Society
2012

Complex computational systems are often intrinsically unpredictable even for the engineers designing them: understanding their possible evolution over time is typically required, for instance in order to match some application requirements. In this paper, we first survey some of the most promising and effective techniques for the analysis and prediction of complex computational systems, then we focus on SAPERE-coordinated pervasive ecosystems. We identify the most essential elements of the SAPERE coordination model, select two techniques - model checking and data mining -, and derive two possible approaches to the analysis and prediction of the behaviour of SAPERE systems.

(keywords) SAPERE coordination model, behaviour prediction, data mining, model checking, pervasive ecosystems

Events

  • 6th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2012) — 10/09/2012–14/09/2012

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Publication

— authors

— editors

Jeremy Pitt

— status

published

— sort

paper in proceedings

— publication date

2012

— volume

Self-Adaptive and Self-Organizing Systems Workshops (SASOW)

— pages

193-198

URLs

original page  |  original PDF

identifiers

— DOI

10.1109/SASOW.2012.41

— IRIS

11585/152892

— Scopus

2-s2.0-84877298433

— WoS / ISI

000321250200031

— print ISBN

978-1-4673-5153-9

— online ISBN

978-07695-4895-1

notes

— note

2012 IEEE Sixth International Conference (SASOW 2012), Lyon, France, 10-14 September 2012. Proceedings

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