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A Modular Approach for Non-Distributed Crash Recovery for Streaming Systems

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2017

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Gesellschaft für Informatik, Bonn

Zusammenfassung

High availability and reliability are important aspects for streaming systems. State-of-the-art recovery techniques like active or passive standby use several nodes to fulfill these requirements. But not every processing task is done in a professional environment with resources for a distributed system (e.g. smart home). Additionally, even distributed streaming systems can benefit from reliable non-distributed crash recovery (NDCR) because it can help to restore the overall system state faster not only after a node failure but also after the roll-out of updates. In this paper, we present our research on NDCR for streaming systems and point out its possibilities and limitations. We propose a flexible and extensible framework in which small NDCR tasks can be combined to high-level NDCR classes with different degrees of fulfillment for completeness and correctness: at-most-once, at-least-once or exactly-once. Further, we offer a way to mark elements that may be incorrect or duplicated.

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Brand, Michael; Grawunder, Marco; Appelrath, H.-Jürgen (2017): A Modular Approach for Non-Distributed Crash Recovery for Streaming Systems. Datenbanksysteme für Business, Technologie und Web (BTW 2017). Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-659-6. pp. 309-328. Streaming and Dataflows. Stuttgart. 6.-10. März 2017

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