An Information-oriented View of Multi-Scale Systems

Ada Diaconescu, Louisa Jane Di Felice, Patricia Mellodge

Research output: Chapter in BookChapterResearchpeer-review

Abstract

Multi-scale configurations are essential for dealing with system complexity. Yet, a theory for facilitating their cross-domain implementation is missing. We set the basis for such theory, by demystifying the core concepts of 'scale' and 'multi-scale' from an information perspective. In this view, we define and apply information abstraction entropy as a measure to assess and compare system scales.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021
EditorsEsam El-Araby, Vana Kalogeraki, Danilo Pianini, Frederic Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-159
Number of pages6
ISBN (Electronic)9781665443937
DOIs
Publication statusPublished - 2021

Publication series

NameProceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021

Keywords

  • Abstraction
  • Entropy
  • Information
  • Multi-scale

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