Proceedings of the 2nd Workshop on High Performance Computational Finance
A code generation approach to optimizing high-performance distributed data stream processing
Proceedings of the 18th ACM conference on Information and knowledge management
Proceedings of the 18th ACM conference on Information and knowledge management
Tools and strategies for debugging distributed stream processing applications
Software—Practice & Experience
COLA: optimizing stream processing applications via graph partitioning
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
Visualizing large-scale streaming applications
Information Visualization
COLA: optimizing stream processing applications via graph partitioning
Middleware'09 Proceedings of the ACM/IFIP/USENIX 10th international conference on Middleware
Workload characterization for operator-based distributed stream processing applications
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Evaluation of streaming aggregation on parallel hardware architectures
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Design principles for developing stream processing applications
Software—Practice & Experience - Focus on Selected PhD Literature Reviews in the Practical Aspects of Software Technology
NET-FLi: on-the-fly compression, archiving and indexing of streaming network traffic
Proceedings of the VLDB Endowment
Visual debugging for stream processing applications
RV'10 Proceedings of the First international conference on Runtime verification
Fault injection-based assessment of partial fault tolerance in stream processing applications
Proceedings of the 5th ACM international conference on Distributed event-based system
High performance computing techniques for scaling image analysis workflows
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume 2
Real-time creation of bitmap indexes on streaming network data
The VLDB Journal — The International Journal on Very Large Data Bases
Software—Practice & Experience
A performance analysis of system s, s4, and esper via two level benchmarking
QEST'13 Proceedings of the 10th international conference on Quantitative Evaluation of Systems
Automatic optimization of stream programs via source program operator graph transformations
Distributed and Parallel Databases
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High performance stream processing is critical in sense-and-respond application domains – from environmental monitoring to algorithmic trading. In this paper, we focus on language and runtime support for improving the performance of sense-and-respond applications in processing data from high rate streams. The central tenet of this work is the definition of a streaming architectural pattern for these application domains and the programming model and the code generation framework to support it. Using IBM Research's System S middleware and the SPADE language, we demonstrate how to scale up a financial trading application.