Efficient Query Processing for Dynamically Changing Datasets

dc.contributor.authorIdris, Muhammad
dc.contributor.authorUgarte, Martin
dc.contributor.authorVansummeren, Stijn
dc.contributor.authorVoigt, Hannes
dc.contributor.authorLehner, Wolfgang
dc.date.accessioned2025-01-23T21:10:45Z
dc.date.available2025-01-23T21:10:45Z
dc.date.issued2019
dc.description.abstractThe ability to efficiently analyze changing data is a key requirement of many real-time analytics applications. Traditional approaches to this problem were developed around the notion of Incremental View Maintenance (IVM), and are based either on the materialization of subresults (to avoid their recomputation) or on the recomputation of subresults (to avoid the space overhead of materialization). Both techniques are suboptimal: instead of materializing results and subresults, one may also maintain a data structure that supports efficient maintenance under updates and from which the full query result can quickly be enumerated. In two previous articles, we have presented algorithms for dynamically evaluating queries that are easy to implement, efficient, and can be naturally extended to evaluate queries from a wide range of application domains. In this paper, we discuss our algorithm and its complexity, explaining the main components behind its efficiency. Finally, we show experiments that compare our algorithm to a state-of-the-art (Higher-order) IVM engine, as well as to a prominent complex event recognition engine. Our approach outperforms the competitor systems by up to two orders of magnitude in processing time, and one order in memory consumption.
dc.fuente.origenWOS
dc.identifier.eissn1943-5835
dc.identifier.issn0163-5808
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/100857
dc.identifier.wosidWOS:000489342100008
dc.issue.numero1
dc.language.isoen
dc.pagina.final40
dc.pagina.inicio33
dc.revistaSigmod record
dc.rightsacceso restringido
dc.titleEfficient Query Processing for Dynamically Changing Datasets
dc.typeartículo
dc.volumen48
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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