default search action
18th DEBS 2024: Villeurbanne, France
- Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems, DEBS 2024, Villeurbanne, France, June 24-28, 2024. ACM 2024, ISBN 979-8-4007-0443-7
- Volker Markl:
NebulaStream - Data Stream Processing in Massively Distributed, Heterogeneous, Volatile Environments. 1-3 - Tyler Akidau:
Simplicity and Elegance in Stream Processing: a 5-Year Odyssey. 4-5 - Jawad Tahir, Chiheb Baili, Matej Svaral, Johannes Friedlein, Christoph Doblander, Hans-Arno Jacobsen:
Challenger 2.0: A Step Towards Automated Deployments and Resilient Solutions for the DEBS Grand Challenge. 6-17 - Roy Friedman:
An Evaluation of Software Frequency Sketches. 18-29 - Luca De Martini, Alessandro Margara:
Safe Shared State in Dataflow Systems. 30-41 - Klas Segeljakt, Seif Haridi, Paris Carbone:
AquaLang: A Dataflow Programming Language. 42-53 - Max Meldrum, Paris Carbone:
μWheel: Aggregate Management for Streams and Queries. 54-65 - Vincenzo Gulisano, Alessandro Margara:
Aggregates are all you need (to bridge stream processing and Complex Event Recognition). 66-77 - Anirudh Sarma, Jinsun Yoo, Jithin Kallukalam Sojan, Umakishore Ramachandran, Myungjin Lee:
FEO: Efficient Resource Allocation for FaaS at the Edge. 78-89 - Guillaume Rosinosky, Donatien Schmitz, Etienne Rivière:
StreamBed: Capacity Planning for Stream Processing. 90-102 - Daniel de Leng, Pieter Bonte:
Last Night in Sweden: A Vision for Resource-Intelligent Stream Reasoning. 103-109 - George Siachamis, George Christodoulou, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Asterios Katsifodimos:
Evaluating Stream Processing Autoscalers. 110-122 - Harshit Gupta, Enrique Saurez, Henriette Röger, Sukanya Bhowmik, Umakishore Ramachandran, Kurt Rothermel:
Color-based Lightweight Utility-aware Load Shedding for Real-Time Video Analytics at the Edge. 123-134 - Alexander V. Goponenko, Kenneth Lamar, Benjamin A. Allan, James M. Brandt, Damian Dechev:
Job Scheduling for HPC Clusters: Constraint Programming vs. Backfilling Approaches. 135-146 - Francesco Taurone, Marcell Fehér, Márton Sipos, Daniel E. Lucani:
TREAT - Two wRongs makE A righT: efficient distributed storage and queries of IoT datasets with erasure coding and compression. 147-158 - Kevin Klein, Pascal Hirmer, Alexander Walz, Steffen Becker:
Applying Service Meshes to In-Car Architectures: The CARISMA Approach. 159-170 - Adriano Vogel, Sören Henning, Esteban Pérez-Wohlfeil, Otmar Ertl, Rick Rabiser:
A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks. 171-182 - Gyu-Il Kim, Kyungyong Chung:
Augmented and End-to-End Models for Defect Classification of Structures. 183-184 - Majid Lotfian Delouee, Daria G. Pernes, Victoria Degeler, Boris Koldehofe:
Towards Federated LLM-Powered CEP Rule Generation and Refinement. 185-186 - Konrad Altenhofen, Julian Zobel, Björn Scheuermann:
State Tracking and Verification for Distributed Nodes through Traffic Inspection. 187-188 - Samira Akili:
Local Self-Adaptation for Distributed Complex Event Processing. 189-190 - Felix Wöhner, Liam Tirpitz, Friedrich May, Sandra Geisler:
GALOISim - Simulating On-The-Edge Processing of Distributed Stream Queries. 191-194 - Tyler Akidau, Fabian Hueske, Konstantinos Kloudas, Leon Papke, Niklas Semmler, Jan Sommerfeld:
Continuous Data Ingestion and Transformation in Snowflake. 195-198 - Berk Buzcu, Davide Calvaresi, Banani Anuraj, Jean-Paul Calbimonte:
Towards Dynamic Self-Organizing Wearables for Head and Neck Digital Rehabilitation. 199-202 - Liam Tirpitz:
Towards FAIR Data Stream Processing Ecosystems. 203-206 - Pieter Bonte, Andra Ionescu:
Tutorials at the International Conference on Distributed and Event-based Systems (DEBS 2024). 207 - Ulrich Norbisrath, Renato Perotto Machado, Anton Slavin, Matevz Borjan Zorec:
Putting the S back into IoT: Tutorial on Sensor and Actor Systems in Small Portable Ad-Hoc Networks. 208-211 - Steffen Zeuch, Ankit Chaudhary, Viktor Rosenfeld, Taha Tekdogan, Adrian Michalke, Matthis Gördel, Ariane Ziehn, Volker Markl:
Using and Enhancing NebulaStream - A Tutorial. 212-216 - Iulia Iustina Sârbu, Emanuel Onica, Ciprian Amariei:
Blazing through Hard Drive Telemetry Data Streams with Parallel Processing. 217-222 - Luca De Martini, Jawad Tahir, Christoph Doblander, Sebastian Frischbier, Alessandro Margara:
The DEBS 2024 Grand Challenge: Telemetry Data for Hard Drive Failure Prediction. 223-228
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.