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Projekt Druckansicht

Analyse Diskreter Lastbalancierung auf Heterogenen Netzwerken (ADLON)

Fachliche Zuordnung Theoretische Informatik
Förderung Förderung von 2014 bis 2019
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 223438688
 
Erstellungsjahr 2019

Zusammenfassung der Projektergebnisse

Load balancing is an important prerequisite for the efficient usage of large parallel networks. In the typical theoretical abstraction, processors are represented by nodes of a graph, links are represented by edges, and loads are represented by vertex weights. Within this project, we have studied iterative algorithms to distribute the load on heterogeneous networks. Regarding network models, we focused on various models of deterministic and random scale-free graphs. For the Chung-Lu random graph model we proved that load-balancing can be done in double-logarithmic time, which is not achievable on homogeneous networks. We also developed a framework to systematically evaluate generative network models regarding how well they represent real-world networks.

Projektbezogene Publikationen (Auswahl)

 
 

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