Demo Data from EDBT 2026 / reviewers in the wild / expert
Elias Weingärtner
dblp:73/7447
· DBLP profile ↗
5ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 5 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Network performance modeling · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling
network emulation |
0.1 | 1 | 2011 | SliceTime: A Platform for Scalable and Accurate Network Emulation · NSDI 2011 |
Distributed systems › experimental testbed
distributed system emulation |
0.1 | 1 | 2011 | SliceTime: A Platform for Scalable and Accurate Network Emulation · NSDI 2011 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | A blueprint for switching between secure routing protocols in wireless multihop networksabstractA plethora of (secure) routing protocols exists for wireless multihop networks. These protocols are mostly tailored to meet the performance and security requirements of specific application scenarios. As a result, the protocols cannot easily be adapted to novel application demands, organically growing networks, etc. We argue that the modular design of routing protocols and security mechanisms can remove the key limitations of today's monolithic routing protocols. We show the feasibility of a modular routing approach for wireless multihop networks using the example of a wireless mesh network. In particular, we demonstrate that a dynamic switch between protocol modules is possible at runtime by means of simulation as well as testbed experimentation. We further demonstrate that the security associations and the key material can be reutilized for bootstrapping novel protocol modules, thus minimizing the control overhead. Marc Werner, Jörg Kaiser, Matthias Hollick, Elias Weingärtner, Klaus Wehrle |
WOWMOM | 4 |
| 2011 | SliceTime: A Platform for Scalable and Accurate Network Emulation
Elias Weingärtner, Florian Schmidt 0002, Hendrik vom Lehn, Tobias Heer, Klaus Wehrle |
NSDI | 1 |
| 2010 | Towards Network Centric Development of Embedded SystemsabstractNowadays, the development of embedded system hardware and related system software is mostly carried out using virtual platform environments. The high level of modeling detail (hardware elements are partially modeled in a cycle-accurate fashion) is required for many core design tasks. At the same time, the high computational complexity of virtual platforms caused by the detailed level of simulation hinders their application for modeling large networks of embedded systems. In this paper, we propose the integration of virtual platforms with network simulations, combining the accuracy of virtual platforms with the versatility and scalability of network simulation tools. Forming such a hybrid tool-chain facilitates the detailed analysis of embedded network systems and related important design aspects, such as resource effectiveness, prior to their actual deployment. Stefan Schürmans, Elias Weingärtner, Torsten Kempf, Gerd Ascheid, Klaus Wehrle, Rainer Leupers |
ICC | 2 |
| 2010 | PiSA-SA: Municipal Wi-Fi Based on Wi-Fi SharingabstractNA Tobias Heer, Thomas Jansen 0003, René Hummen, Stefan Götz 0001, Hanno Wirtz, Elias Weingärtner, Klaus Wehrle |
ICCCN | 6 |
| 2009 | A Performance Comparison of Recent Network SimulatorsabstractA widespread methodology for performance analysis in the field of communication systems engineering is network simulation. While ns-2 has established itself as virtually the standard network simulation tool, other network simulators have gained more and more attention during the last years. In this paper, we briefly survey new developments in the field of network simulation and conduct a performance comparison study by implementing an identical simulation set-up in five simulators, namely ns-2, OMNet++, ns-3, SimPy and JiST/SWANS. Our results reveal large differences according to both run-time performance and memory usage. Elias Weingärtner, Hendrik vom Lehn, Klaus Wehrle |
ICC | 1 |