Goal
Transactional cloud applications such as payment, booking, reservation systems, and complex business workflows are currently being rewritten for deployment in the cloud. This migration to the cloud is happening mainly for reasons of cost and scalability. Over the years, application developers have used different migration approaches, such as microservice frameworks, actors, and stateful dataflow systems. The migration to the cloud has brought back data management challenges traditionally handled by database management systems. Those challenges include ensuring state consistency, maintaining durability, and managing the application lifecycle. At the same time, the shift to a distributed computing infrastructure introduced new issues, such as message delivery, task scheduling, containerization, and (auto)scaling. Although the data management community has made progress in developing analytical and transactional database systems, transactional cloud applications have received little attention in database research. This tutorial aims to highlight recent trends in the area and discusses open research challenges for the data management community.
Paper
Transactional Cloud Applications: Status Quo, Challenges, and OpportunitiesSchedule
Time: Friday, 27.06.2025, 9:00 – 12:30
Location: Intercontinental Berlin Schöneberg I/II/III
Part 1 (9:00 – 10:30)
- 09:00 – 09:35: Introduction (slides)
- 09:35 – 09:45: Short Break
- 09:45 – 10:30: Programming Models (slides)
- 10:30 – 11:00: Conference Break
Part 2 (11:00 – 12:30)
Speaker Bios
Rodrigo Laigner
Rodrigo is a PhD Fellow at the University of Copenhagen. His research lies on devising effective programming abstractions and efficient systems for emerging data-intensive applications. During his doctoral studies, he published relevant articles about distributed data-intensive applications.
George Christodoulou
George is a Postdoctoral Researcher at TU Delft. His research centers around indexing, as well as scalable and efficient data management with a particular emphasis on stream processing and distributed systems.
Kyriakos Psarakis
Kyriakos is a PhD candidate at TU Delft building systems for scalable cloud applications. This includes Styx, a deterministic transactional dataflow system that offers a Stateful-FaaS API for creating scalable cloud applications.
Asterios Katsifodimos
Asterios is an Asst. Professor at TU Delft, working on scalable data management, focusing on cloud application runtimes, stream processing, and data integration. Asterios is one of the receivers of the ACM SIGMOD Systems award in 2023.
Yongluan Zhou
Yongluan is a Professor at the University of Copenhagen. His research interests span database and distributed systems, with his recent focus on scalable event-driven systems. He has authored over 80 peer-reviewed research articles in international journals and conference proceedings