Systems@TUDa works in the intersection of several fields: distributed systems, specialized hardware, AI for systems and systems for AI.

Project Areas

Interactive Data Exploration and Machine Learning

Learned Database Components

Natural Language Interfaces for Databases

Scalable Data Management on Modern Hardware

Trusted Data Management

Efficient Byzantine Fault Tolerant Systems

Latest Publications & Participation in Conferences

Paper accepted to DASFAA 2024

Parallel Processing of Temporal Anti-Joins in Memory

Paper accepted to ICDE 2024

COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments

Another paper accepted to ICDE 2024

ZeroTune: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing

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