Papers Accepted to EDBT'25 and CIDR'25

2024/10/04

Benchmarking Intel SGXv2, Foundation Database Models

We are pleased to share that two of our recent papers have been accepted at the prestigious conferences EDBT'25 and CIDR'25. The accepted papers are:

Benchmarking Analytical Query Processing in Intel SGXv2 (EDBT'25): This paper evaluates the potential of Intel's SGXv2 for secure and efficient analytical query processing in cloud environments. The study finds that while SGXv2 overcomes some limitations of SGXv1, performance overheads still exist, and proposes optimizations to bridge the gap between enclave and native code execution.

Authors: Adrian Lutsch, Muhammad El-Hindi, Matthias Heinrich, Daniel Ritter (SAP), Zsolt István, Carsten Binnig

Towards Foundation Database Models (CIDR'25): The paper argues for a shift from one-off, task-specific models to generalizable foundation models for database tasks, which can be applied across various databases with minimal overhead. It proposes an architecture for such a model, presents a feasibility study, and outlines future research directions.

Authors: Johannes Wehrstein (while at Google), Carsten Binnig (while at Google), Fatma Özcan (Google), Shobha Vasudevan (Google), Yu Gan (Google), Yawen Wang (Google)