Abstract
Guaranteed tuple processing has become critically important for many streaming applications. This paper describes how we enabled IBM Streams, an enterprise-grade stream processing system, to provide data processing guarantees. Our solution goes from language-level abstractions to a runtime protocol. As a result, with a couple of simple annotations at the source code level, IBM Streams developers can define consistent regions, allowing any subgraph of their streaming application to achieve guaranteed tuple processing. At runtime, a consistent region periodically executes a variation of the Chandy-Lamport snapshot algorithm to establish a consistent global state for that region. The coupling of consistent states with data replay enables guaranteed tuple processing.
| Original language | English |
|---|---|
| Pages (from-to) | 1341-1352 |
| Number of pages | 12 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 9 |
| Issue number | 13 |
| DOIs | |
| State | Published - 2015 |
| Event | 42nd International Conference on Very Large Data Bases, VLDB 2016 - New Delhi, India Duration: Sep 5 2016 → Sep 9 2016 |
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