Modeling and Simulating Apache Spark Streaming Applications

dc.contributor.author	Kroß, Johannes
dc.contributor.author	Krcmar, Helmut
dc.date.accessioned	2023-03-02T13:44:21Z
dc.date.available	2023-03-02T13:44:21Z
dc.date.issued	2016
dc.description.abstract	Stream processing systems are used to analyze big data streams with low latency. The performance in terms of response time and throughput is crucial to ensure all arriving data are processed in time. This depends on various factors such as the complexity of used algorithms and configurations of such distributed systems and applications. To ensure a desired system behavior, performance evaluations should be conducted to determine the throughput and required resources in advance. In this paper, we present an approach to predict the response time of Apache Spark Streaming applications by modeling and simulating them. In a preliminary controlled experiment, our simulation results suggest accurate prediction values for an upscaling scenario.	en
dc.identifier.pissn	0720-8928
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/40618
dc.language.iso	en
dc.publisher	Geselllschaft für Informatik e.V.
dc.relation.ispartof	Softwaretechnik-Trends Band 36, Heft 4
dc.title	Modeling and Simulating Apache Spark Streaming Applications	en
dc.type	Text/Journal Article
gi.citation.publisherPlace	Bonn
gi.conference.sessiontitle	Sonderteil: Proceedings of the Symposium on Software Performance (SSP 2016), 8. - 9. November 2016, Kiel

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