A perfect conclusion for the BIFOLD team at VLDB 2023 in Vancouver: The Nebula Stream team received an honorable mention for the best demo. In total, eleven researchers from the team of BIFOLD director Volker Markl participated in VLDB 2023 in Vancouver, one of the most important database conferences worldwide. They gave one workshop talk and presented two research paper, one journal paper and two demos.
The award winning NebulaStream demo showcases the recently proposed data management system for the IoT NebulaStream. NebulaStream is a general purpose, end-to-end data management system for the IoT. It provides an out-of-the box experience with rich data processing functionalities and a high ease-of-use. Future challenges in supporting IoT applications arise from managing large numbers of heterogeneous IoT devices and require combining elastic cloud and fog resources in unified fog-cloud environments.
In their demonstration, the scientists introduced a smart city simulation called IoTropolis and used it to create interactive eHealth and Smart Grid application scenarios. Visitors of the demonstration could configure and interact with the scenarios to manage electricity usage in IoTropolis or to distribute patients across different hospitals. Thereby, visitors could actively engage with IoTropolis and utilize NebulaStream.
1. Optimistic Data Parallelism for FPGA-Accelerated Sketching. Martin Kiefer, Ilias Poulakis, Eleni Tzirita Zacharatou, Volker Markl.
2. Cracking-Like Join for Trusted Execution Environments. Kajetan Jeremi Maliszewski, Jorge-Arnulfo Quiané-Ruiz, Volker Markl.
1. Survey of window types for aggregation in stream processing systems. Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl.
1. Showcasing Data Management Challenges for Future IoT Applications with NebulaStream: Aljoscha Lepping, Hoang Mi Pham, Laura Mons, Balint Rueb, Ankit Chaudhary, Philipp M. Grulich, Steffen Zeuch, Volker Markl.
2. XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes.
Haralampos Gavriilidis, Leonhard Rose, Joel Ziegler, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl.
1. Towards Efficient and Secure UDF Execution with BabelfishLib Philipp M. Grulich, Steffen Zeuch, Volker Markl.