Show simple item record

dc.contributor.authorScholtes, Ingo
dc.contributor.authorTessone, Claudio Juan
dc.date2012-04-01
dc.date.accessioned2018-01-05T11:49:48Z
dc.date.available2018-01-05T11:49:48Z
dc.date.issued2012
dc.identifier.issn1432-122X
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/9421
dc.description.abstractThe vision of Organic Computing addresses challenges that arise in the design of future information systems that are comprised of numerous, heterogeneous, resource-constrained and error-prone components. The notion organic highlights the idea that, in order to be manageable, such systems should exhibit self-organization, self-adaptation and self-healing characteristics similar to those of biological systems. In recent years, the principles underlying these characteristics are increasingly being investigated from the perspective of complex systems science, particularly using the conceptual framework of statistical physics and statistical mechanics. In this article, we review some of the interesting relations between statistical physics and networked systems and discuss applications in the engineering of organic overlay networks with predictable macroscopic properties.
dc.publisherSpringer-Verlag
dc.relation.ispartofInformatik-Spektrum: Vol. 35, No. 2
dc.relation.ispartofseriesInformatik-Spektrum
dc.titleOrganic Design of Massively Distributed Systems: A Complex Networks Perspective
dc.typeText/Journal Article
dc.pubPlaceBerlin Heidelberg
mci.reference.pages75-86
gi.identifier.doi10.1007/s00287-012-0597-4


Files in this item

FilesSizeFormatView

There are no files associated with this item.

Show simple item record