S4: Distributed Stream Computing Platform
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
Low-Overhead Fault Tolerance for High-Throughput Data Processing Systems
ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
Active Replication at (Almost) No Cost
SRDS '11 Proceedings of the 2011 IEEE 30th International Symposium on Reliable Distributed Systems
Scalable and Low-Latency Data Processing with Stream MapReduce
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
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The massive amount of new data being generated each day by data sources such as smartphones and sensor devices calls for new techniques to process such continues streams of data. Event Stream Processing (ESP) addresses this problem and enables users to process such data streams in (soft) realtime allowing the detection as well as a quick reaction to relevant situations. In this tutorial, we will introduce the participants to ESP techniques as well as ESP systems such as Storm, Apache S4 and StreamMine3G. We will cover aspects such as programming models, fault tolerance as well as elasticity and cloud support of these platforms.