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Several data-intensive applications take streams of events as a continuous input and internally map events onto a dynamic, graph-based data model which is then used for processing. The differences between event processing, graph computing, as well as batch processing and near-realtime processing yield a number of specific requirements for computing platforms that try to unify theses approaches. By combining an altered actor model, an event-sourced persistence layer, and a vertex-based, asynchronous programming model, we propose a distributed computing platform that supports event-driven, graph-based applications in a single platform. Our Chronograph platform concept enables online and offline computations on event-driven, history-aware graphs and supports different processing models on the evolving graph.

Wed 21 Jun

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

11:00 - 12:30
Session 2: High Performance and DistributionDEBS Research Papers at Sala d'Actes, Vertex Building
Chair(s): Guido Salvaneschi TU Darmstadt
11:00
25m
Talk
Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing. (Research Paper)
DEBS Research Papers
Ruben Mayer University of Stuttgart, Muhammad Adnan Tariq University of Stuttgart, Kurt Rothermel Universitaet Stuttgart
11:25
25m
Talk
Low-Latency Sliding-Window Aggregation in Worst-Case Constant Time. (Research Paper)
DEBS Research Papers
Kanat Tangwongsan Mahidol University International College, Martin Hirzel IBM Research, Scott Schneider IBM Research
11:50
20m
Talk
Hardware Accelerated Application Integration Processing. (Industry Paper)
DEBS Research Papers
Daniel Ritter SAP SE, Jonas Dann SAP SE, Norman May SAP SE, Stefanie Rinderle-Ma University of Vienna
12:10
20m
Talk
Chronograph—A Distributed Processing Platform for Online and Batch Computations on Event-sourced Graphs. (Experience Paper)
DEBS Research Papers
Benjamin Erb Ulm University, Germany , Dominik Meißner Institute of Distributed Systems, Ulm University, Jakob Pietron Ulm University, Frank Kargl Ulm University