Institut für Verteilte Systeme

Unser Institut beschäftigt sich mit Themen wie Skalierbarkeit, Zuverlässigkeit, Sicherheit und Datenschutz, Selbstorganisation und Beherrschbarkeit von Komplexität in Verteilten Systemen in einer Vielzahl von Einsatzszenarien wie Cloud-Computing oder Fahrzeug-Fahrzeug-Kommunikation.

In der Lehre decken wir das gesamte Spektrum von Rechnernetzen, über verteilte Systeme bis hin zu Sicherheit und Privacy-Schutz ab.

Unsere letzten Publikationen


Lukaseder, Thomas; Maile, Lisa; Kargl, Frank
SDN-Assisted Network-Based Mitigation of Slow HTTP Attacks
1. KuVS Fachgespräch "Network Softwarization" – From Research to Application
Oktober 2017
Kleber, Stephan; Ferdinand Nölscher, Henrik; Kargl, Frank
Automated PCB Reverse Engineering
11th USENIX Workshop on Offensive Technologies, WOOT 17
USENIX Association
August 2017
Nikolov, Vladimir; Bonfert, Stefan; Frasch, Eugen; Hauck, Franz J.
Scheduling interactive HPC applications
Proc. of the 8th Int. Real-Time Scheduling Open Problems Seminar (RTSOPS)
Seite 15-16.
Juni 2017
Erb, Benjamin; Meißner, Dominik; Pietron, Jakob; Kargl, Frank
Chronograph – A Distributed Processing Platform for Online and Batch Computations on Event-sourced Graphs
Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems
Juni 2017

Zusammenfassung: Several data-intensive applications take streams of events as a continuous input and internally map events onto a dynamic, graph-based data model which is then used for processing. The differences between event processing, graph computing, as well as batch processing and near-realtime processing yield a number of specific requirements for computing platforms that try to unify theses approaches. By combining an altered actor model, an event-sourced persistence layer, and a vertex-based, asynchronous programming model, we propose a distributed computing platform that supports event-driven, graph-based applications in a single platform. Our Chronograph platform concept enables online and offline computations on event-driven, history-aware graphs and supports different processing models on the evolving graph.

Nikolov, Vladimir; Wesner, Stefan; Frasch, Eugen; Hauck, Franz J.
A hierarchical scheduling model for dynamic soft-realtime systems
Proc. of the 29th Euromicro Conference on Real-Time Systems (ECRTS)
Juni 2017
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