Research Interest

  • (Autonomous) Self-Adaptive Software Systems
  • Distributed Systems
  • (Dynamic) Software Product Lines
  • Model Based Software Development
  • Monitoring of P2P-Systems
  • Performance Evaluation
  • Prediction Models
  • Software Quality Assurance

Projects

MAKI

As of January 1st, 2013, the German Research Foundation (DFG) has approved the collaborative research centre (CRC) 1053 “MAKI - Multi-Mechanism-Adaptation for the Future Internet”. Initially, the CRC will be funded with 8 Million Euros over the next four years.

MAKI creates an innovative premise for communication systems in the future. Its aim is to be more adaptive to changes, particularly during ongoing operations. For instance, this could facilitate the ability to stream a video on a smartphone in high-quality and without interruptions in spite of busy or overloaded mobile networks. Users could rely on a steady and reliable reception even when attending festivals or crowded sporting events.

My research in the MAKI project is focused on model based adaptation of resource constraint mobile devices, such as smartphones, tablets, and notebooks. In this regard, I investigate variability models, weighted and probabilistic transition systems, and constraint reasoner to derive a suitable device configuration for an continuously changing contextual environment. 

For more information on MAKI and the involvement of the real time systems lab se here.

QuaP2P (Finished December 2012)

The objective of the QuaP2P research project is to enhance the quality of peer-to-peer (P2P) systems by systematically researching suitable mechanisms. Specific quality features will be applied to assess the quality of the P2P systems. This will be achieved by using and comparing it to centralized procedures as the respective reference points.

The current second phase of QuaP2P focuses on the methodology of researching multilateral interdependencies between various quality aspects as well as on the characterization of these interdependencies. Therefore, a benchmark methodology for P2P systems will be developed, allowing for the investigation of the quality aspects of existing P2P systems.

Within the QuaP2P project I’m also focusing my research on a model based MAPE loop (Monitor - Analyze - Plan - Execute). Goal of my research is to enable context awareness in distributed decentralized dynamic adaptive systems like smartphones or sensor nodes. To approach this challenge we make use of dynamic software product lines, to derive a plan according to a certain context. The plan is then used to adapt the device during run-time in the execution phase.

Kontakt

Technische Universität Darmstadt

Institut für Datentechnik

Fachgebiet Echtzeitsysteme

Prof. Dr. rer. nat. Andy Schürr

Geb. S3|06 (3. Stock, Raum 313)

Merckstr. 25

64283 Darmstadt

+49 6151 16-6940
+49 6151 16-6942


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