IPE 10-2022 Master Thesis or Internship: Designing a Benchmark for Time-Series Databases in Big Data Environments
Institute for Data Processing and Electronics (IPE)
Time-series applications are continuously growing in big data environments like large-scale scientific experiments, Internet of Things (IoT), IT infrastructure, finance and health technologies. Different time-series databases relying on different storage engine have been developed. To understand their performance characteristics, we have developed SciTS, a benchmark for time-series databases in large-scale scientific experiments and Industrial Internet of Things.
The continuous evolution of time-series databases challenges the design and the architecture of SciTS. In a collaboration with Clapsode, a startup supported by the “Microsoft for Startups” program, we aim to extend the design of SciTS to support evaluating the new time-series databases. The student is
You will contribute to a top-notch research project with the opportunity to publish in top conferences. Your results will part of an open-source project and will directly contribute to a new data management system developed for KArlsruhe TRItium Neutrino (KATRIN) experiment and will build a ground for next generation of data management systems for large scale scientific experiments
as soon as possible
- Very good understanding of the relational and NoSQL database technologies.
- Good programming skills and preferably prior experience in C#
Contact person in line-management
Please apply online using the button below for this vacancy number IPE 10-2022.
Ausschreibungsnummer: IPE 10-2022
Recognized severely disabled persons will be preferred if they are equally qualified.
Personnel Support is provided by:
Personalservice (PSE) - Human Resources
Ms Carrasco Sanchez
Phone: +49 721 608-42016,
Kaiserstr. 12, 76131 Karlsruhe