A Modular Approach for Non-Distributed Crash Recovery for Streaming Systems
dc.contributor.author | Brand, Michael | |
dc.contributor.author | Grawunder, Marco | |
dc.contributor.author | Appelrath, H.-Jürgen | |
dc.contributor.editor | Mitschang, Bernhard | |
dc.contributor.editor | Nicklas, Daniela | |
dc.contributor.editor | Leymann, Frank | |
dc.contributor.editor | Schöning, Harald | |
dc.contributor.editor | Herschel, Melanie | |
dc.contributor.editor | Teubner, Jens | |
dc.contributor.editor | Härder, Theo | |
dc.contributor.editor | Kopp, Oliver | |
dc.contributor.editor | Wieland, Matthias | |
dc.date.accessioned | 2017-06-20T20:24:29Z | |
dc.date.available | 2017-06-20T20:24:29Z | |
dc.date.issued | 2017 | |
dc.description.abstract | 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. | en |
dc.identifier.isbn | 978-3-88579-659-6 | |
dc.identifier.pissn | 1617-5468 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik, Bonn | |
dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW 2017) | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-265 | |
dc.subject | Streaming System | |
dc.subject | Non-Distributed | |
dc.subject | Availability | |
dc.subject | Crash Recovery | |
dc.subject | Framework | |
dc.subject | Odysseus | |
dc.title | A Modular Approach for Non-Distributed Crash Recovery for Streaming Systems | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 328 | |
gi.citation.startPage | 309 | |
gi.conference.date | 6.-10. März 2017 | |
gi.conference.location | Stuttgart | |
gi.conference.sessiontitle | Streaming and Dataflows |
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