Modelling of IP geolocation by use of latency measurements

Hillmann, Peter; Stiemert, Lars; Rodosek, Gabi Dreo; Rose, Oliver

doi:10.1109/cnsm.2015.7367355

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Dragoon1

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2016

2024

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Cited by 3 publications

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“…The Dragoon algorithm was initially used to optimize Landmark positions to improve the quality of IP geolocation (Hillmann et al 2015a, Hillmann et al 2015b). However, it can be applied to any kind of k-center problem.…”

Section: Dragoonmentioning

confidence: 99%

Evaluation of the general applicability of Dragoon for the k-center problem

Uhlig

Hillmann

Rose

2016

2016 Winter Simulation Conference (WSC)

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The k-center problem is a fundamental problem we often face when considering complex service systems. Typical challenges include the placement of warehouses in logistics or positioning of servers for content delivery networks. We previously have proposed Dragoon as an effective algorithm to approach the k-center problem. This paper evaluates Dragoon with a focus on potential worst case behavior in comparison to other techniques. We use an evolutionary algorithm to generate instances of the k-center problem that are especially challenging for Dragoon. Ultimately, our experiments confirm the previous good results of Dragoon, however, we also can reliably find scenarios where it is clearly outperformed by other approaches.

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Section: Dragoonmentioning

confidence: 99%