| Analysis of market data with Noir: DEBS grand challenge | 0 | 0.34 | 2022 |
| A unifying model for distributed data-intensive systems | 0 | 0.34 | 2022 |
| Deriving a realistic workload model to simulate high-volume financial data feeds for performance benchmarking | 0 | 0.34 | 2022 |
| Temporal Pattern Recognition in Graph Data Structures | 0 | 0.34 | 2021 |
| RStream: Simple and Efficient Batch and Stream Processing at Scale | 0 | 0.34 | 2021 |
| The Kaiju project: enabling event-driven observability | 0 | 0.34 | 2020 |
| Dagstuhl Seminar on the Foundations of Composite Event Recognition | 0 | 0.34 | 2020 |
| TSpoon: Transactions on a stream processor | 0 | 0.34 | 2020 |
| Rethinking safe consistency in distributed object-oriented programming | 0 | 0.34 | 2020 |
| ConSysT - tunable, safe consistency meets object-oriented programming. | 0 | 0.34 | 2020 |
| Distributed object-oriented programming with multiple consistency levels in ConSysT | 0 | 0.34 | 2019 |
| Temporal Pattern Recognition in Large Scale Graphs | 0 | 0.34 | 2019 |
| Efficient Temporal Reasoning on Streams of Events with DOTR. | 1 | 0.36 | 2018 |
| A Survey of Recent Trends in Testing Concurrent Software Systems. | 4 | 0.40 | 2018 |
| On the Semantics of Distributed Reactive Programming: The Cost of Consistency. | 6 | 0.49 | 2018 |
| Consistency Types for Safe and Efficient Distributed Programming | 1 | 0.35 | 2017 |
| Defining the execution semantics of stream processing engines. | 2 | 0.37 | 2017 |
| Complex Event Recognition Languages: Tutorial. | 4 | 0.51 | 2017 |
| High-Throughput Subset Matching on Commodity GPU-Based Systems. | 0 | 0.34 | 2017 |
| FlowDB: Integrating Stream Processing and Consistent State Management. | 2 | 0.36 | 2017 |
| Break the Windows: Explicit State Management for Stream Processing Systems. | 1 | 0.35 | 2017 |
| Taming velocity and variety simultaneously in big data with stream reasoning: tutorial. | 3 | 0.38 | 2016 |
| Towards an Engineering Methodology for Multi-model Scientific Simulations | 0 | 0.34 | 2015 |
| Reactive programming: a walkthrough | 4 | 0.47 | 2015 |
| Introducing uncertainty in complex event processing: model, implementation, and validation | 18 | 0.87 | 2015 |
| Dynamic data flow testing of object oriented systems | 8 | 0.48 | 2015 |
| Efficient analysis of event processing applications | 7 | 0.47 | 2015 |
| Learning from the past: automated rule generation for complex event processing | 20 | 0.87 | 2014 |
| High-Performance Publish-Subscribe Matching Using Parallel Hardware | 3 | 0.39 | 2014 |
| We have a DREAM: distributed reactive programming with consistency guarantees | 5 | 0.47 | 2014 |
| Streaming the Web: Reasoning over dynamic data. | 12 | 0.67 | 2014 |
| Towards Automated A/B Testing | 6 | 0.52 | 2014 |
| Seven Commandments for Benchmarking Semantic Flow Processing Systems. | 12 | 0.73 | 2013 |
| Deployment strategies for distributed complex event processing | 18 | 0.93 | 2013 |
| Aggregation for implicit invocations | 5 | 0.44 | 2013 |
| DynamiTE: Parallel Materialization of Dynamic RDF Data | 26 | 0.89 | 2013 |
| Living in the present: on-the-fly information processing in scalable web architectures | 6 | 0.50 | 2012 |
| Low latency complex event processing on parallel hardware | 27 | 1.02 | 2012 |
| Complex event processing with T-REX | 48 | 1.95 | 2012 |
| High-performance location-aware publish-subscribe on GPUs | 8 | 0.49 | 2012 |
| Reconfiguration Primitives for Self-Adapting Overlays in Distributed Publish-Subscribe Systems | 5 | 0.41 | 2012 |
| Processing flows of information: from data stream to complex event processing | 301 | 10.54 | 2011 |
| High performance content-based matching using GPUs | 11 | 0.55 | 2011 |
| SLIM: Service Location and Invocation Middleware for Mobile Wireless Sensor and Actuator Networks | 2 | 0.36 | 2010 |
| TESLA: a formally defined event specification language | 83 | 2.75 | 2010 |
| RACED: an adaptive middleware for complex event detection | 12 | 0.73 | 2009 |
| Context-aware publish-subscribe: Model, implementation, and evaluation | 24 | 0.96 | 2009 |
