P265 - BTW2017 - Datenbanksysteme für Business, Technologie und Web

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Konferenzbeitrag
A Modular Approach for Non-Distributed Crash Recovery for Streaming Systems
(Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017) Brand, Michael; Grawunder, Marco; Appelrath, H.-Jürgen
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.