Organic Design of Massively Distributed Systems: A Complex Networks Perspective
| dc.contributor.author | Scholtes, Ingo | |
| dc.contributor.author | Tessone, Claudio Juan | |
| dc.date.accessioned | 2018-01-05T11:49:48Z | |
| dc.date.available | 2018-01-05T11:49:48Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | The 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.identifier.pissn | 1432-122X | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/9421 | |
| dc.publisher | Springer-Verlag | |
| dc.relation.ispartof | Informatik-Spektrum: Vol. 35, No. 2 | |
| dc.relation.ispartofseries | Informatik-Spektrum | |
| dc.title | Organic Design of Massively Distributed Systems: A Complex Networks Perspective | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 86 | |
| gi.citation.publisherPlace | Berlin Heidelberg | |
| gi.citation.startPage | 75 |