Robin Mueller-Bady

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In this paper we address the problem of selecting a minimal number of optimally positioned monitors for capturing network traffic in dynamic computer network environments. Requirements of computer network monitoring change frequently, e.g., due to indicators of an ongoing attack, which requires a continuous optimization and adaptation of the monitoring(More)
Maintaining correctly operating computer networks is paramount for assuring properly operating information technology infrastructures. Thereby, the acquisition of network traffic data is one of the first steps. The acquisition of network traffic, however, can be very challenging, e.g., with respect to performance and resource requirements. In this paper, we(More)
In this paper, we present a new, computationally inexpensive method for preventing premature convergence in multimodal evolutionary algorithms by population injection. Our method avoids the premature convergence of the population around one or multiple local optima by maintaining an adequate amount of genetic diversity. The technique does not require any(More)
In this paper, we propose a hybrid evolutionary algorithm (EA) for the optimization of efficient monitoring in dynamic communication networks. The first step towards improving communication infrastructures is gathering information about the current situation. One part of collecting this information is to implement an adequate monitoring in the network,(More)
An important challenge in designing evolutionary search heuristics is the statistically significant evaluation of different configurations. The goal is to find an optimal algorithm design with respect to its parameters, i.e., parameter tuning. In this paper, we propose an open source software framework, called <i>Multijob</i>, allowing to simplify and(More)
In this paper, we present a computationally inexpensive method for maintaining genetic diversity in evolutionary algorithms using population injection. As opposed to other methods, e.g., cellular EAs, population injection does not require any maintenance or setup effort. Here, we present first experimental results comparing a (&#956;, &#955;) EA with and(More)
Virtualization is increasingly used for emulating computer networks in areas such as, e. g., education, testing, forensics and research. In this paper, we experimentally study the performance characteristics of virtualized networks for different virtualization technologies and compare them with real, physical networks. Our results indicate that the(More)
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