STEAM: A Platform for Scalable Spatiotemporal Analytics

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dc.contributor.authorDeva, Bersant
dc.contributor.authorRaschke, Philip
dc.contributor.authorRodriguez Garzon, Sandro
dc.contributor.authorKüpper, Axel
dc.date.accessioned2019-09-18T14:25:13Z
dc.date.available2019-09-18T14:25:13Z
dc.date.issued2017
dc.description.abstractSpatiotemporal datasets have become increasingly available with the introduction of a various set of applications and services trac- ing the behavior of moving objects. Recently, there has been a high demand in understanding these datasets using spatiotemporal analytics. While being considered of high value, spatiotemporal analytics did not yet see a wide spreading into the actual business workflow or the direct configuration of services and applications. The computational complexity for spatiotemporal datasets and the heterogeneity of data sources are considered key factors for the current state. This paper introduces STEAM, a platform for distributed spatiotemporal analytics on heterogeneous spatiotemporal datasets. STEAM introduces a framework that abstracts the key components from incoming spatiotemporal datasets that originate from various positioning systems. This abstraction provides a common base for distributed and scalable analytics methods that is not bound to a specific underlying positioning technique. STEAM provides a distributed state-of-the-art implementation and is evaluated on a multi-machine testbed for linear scalability.en
dc.description.sponsorshipBMBF, 01IS12056, Software Campus (TU Berlin)en
dc.identifier.eissn1877-0509
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/10039
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-9030
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otherbig data applicationsen
dc.subject.otherspatiotemporal analyticsen
dc.subject.otherservice-oriented architecturesen
dc.titleSTEAM: A Platform for Scalable Spatiotemporal Analyticsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1016/j.procs.2017.05.429
dcterms.bibliographicCitation.journaltitleProcedia Computer Scienceen
dcterms.bibliographicCitation.originalpublishernameElsevieren
dcterms.bibliographicCitation.originalpublisherplaceAmsterdamen
dcterms.bibliographicCitation.pageend736
dcterms.bibliographicCitation.pagestart731
dcterms.bibliographicCitation.volume109
tub.accessrights.dnbfree
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Telekommunikationssysteme::FG Service-centric Networkingde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Service-centric Networkingde
tub.affiliation.instituteInst. Telekommunikationssystemede
tub.publisher.universityorinstitutionTechnische Universität Berlinde

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