Doris Aschenbrenner

Design process for user interaction with robotic manipulators in industrial internet applications

In the paper we want to share our experiences in developing a new telemaintenance system for industrial robots in an active production environment. This has been achieved within a three-year research project. In this article we describe the design methods we have used, and our evaluation approaches. The challenge of developing user interfaces for those prototypes lies in the special requirements of the industrial work domain. Highly sophisticated technical tasks need to be carried out under time pressure and in a noisy environment. The human machine interaction of the remote tasks is especially difficult. Theres no experience with those remote tasks, as they are only possible with the developed technology. The scope of the paper lies in the design process, not in the evaluation results, which will be published separately.

Automated Extraction of Network Traffic Models Suitable for Performance Simulation

Data centers are increasingly becoming larger and dynamic due to virtualization. In order to leverage the performance modeling and prediction techniques, such as Palladio Component Model or Descartes Modeling Language, in such a dynamic environments, it is necessary to automate the model extraction. Building and maintaining such models manually is not feasible anymore due to their size and the level of details. This paper is focused on traffic models that are an essential part of network infrastructure. Our goal is to decompose real traffic dumps into models suitable for performance prediction using Descartes Network Infrastructure modeling approach. The main challenge was to efficiently encode an arbitrary signal in the form of simple traffic generators while maintaining the shape of the original signal. We show that a typical 15 minute long tcpdump trace can be compressed to 0.4-15% of its original size whereas the relative median of extraction error is close to 0% for the most of the 69 examined traces.