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Dynamic Low-Latency Distributed Event Processing of Sensor Data Streams

dc.contributor.authorMutschler, Christopher
dc.contributor.authorPhilippsen, Michael
dc.date.accessioned2017-12-06T09:07:45Z
dc.date.available2017-12-06T09:07:45Z
dc.date.issued2013
dc.description.abstractEvent-based systems (EBS) are used to detect meaningful events with low latency in surveillance, sports, finances, etc. However, with rising data and event rates and with correlations among these events, processing can no longer be sequential but it needs to be distributed. However, naively distributing existing approaches not only cause failures as their order-less processing of events cannot deal with the ubiquity of out-of-order event arrival. It is also hard to achieve a minimal detection latency. This paper illustrates the combination of our building blocks towards a scalable publish/subscribe-based EBS that analyzes high data rate sensor streams with low latency: a parameter calibration to put out-of-order events in order without a-priori knowledge on event delays, a runtime migration of event detectors across system resources, and an online optimization algorithm that uses migration to improve performance. We evaluate our EBS and its building blocks on position data streams from a Realtime Locating System in a sports application.en
dc.identifier.doi10.1007/BF03354233
dc.identifier.pissn0177-0454
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/8599
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofPARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware: Vol. 30, No. 1
dc.relation.ispartofseriesPARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware
dc.subjectCuckoo Search
dc.subjectEvent Stream
dc.subjectDetection Latency
dc.subjectVirtual Machine Migration
dc.subjectRuntime Optimization
dc.titleDynamic Low-Latency Distributed Event Processing of Sensor Data Streamsen
dc.typeText/Journal Article
gi.citation.endPage14
gi.citation.startPage5

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