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.
|Title of host publication||Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021|
|Editors||Esam El-Araby, Vana Kalogeraki, Danilo Pianini, Frederic Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2021|
|Name||Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021|