FlameStream: Model and Runtime for Distributed Stream Processing

I. Kuralenok; Trofimov A.; Marshalkin N.; B. Novikov

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FlameStream: Model and Runtime for Distributed Stream Processing

P. 8:1–8:2.

Kuralenok I., Trofimov A., Marshalkin N., Novikov B.

Exactly-once semantics without high latency overhead is still hard to achieve within state-of-the-art stream processing systems.We introduce a model providing for exactly-once using lightweight optimistic approach for obtaining determinism and idempotence. We show its feasibility with a prototype.

Language: English

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Keywords: Data streams

In book

Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond

ACM, 2018.

Deterministic Model for Distributed Speculative Stream Processing

Kuralenok I., Trofimov A., Marshalkin N. et al., , in: Lecture Notes in Computer ScienceVol. 11019: Advances in Databases and Information Systems .: Springer, 2018. P. 233–246.

Users of modern distributed stream processing systems have to choose between non-deterministic computations and high latency due to a need in excessive buffering. We introduce a speculative model based on MapReduce-complete set of operations that allows us to achieve determinism and low-latency. Experiments show that our prototype can outperform existing solutions due to low overhead ...

Added: February 13, 2019