Flow Analysis in Heterogeneous Cloud Scenarios

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dc.contributor.author Kögel, Jochen
dc.contributor.author Meier, Sebastian
dc.contributor.author Oettl, Stefan
dc.date.accessioned 2025-04-03T05:18:04Z
dc.date.available 2025-04-03T05:18:04Z
dc.date.issued 2025-04-03
dc.identifier.uri http://hdl.handle.net/10900/163780
dc.identifier.uri http://nbn-resolving.org/urn:nbn:de:bsz:21-dspace-1637802 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-105110
dc.description.abstract As enterprises move their private and public services to the cloud, traffic monitoring between clouds becomes crucial and challenging. Compared to on-prem resources, the cost structure in the cloud is very different and requires a good understanding of application topologies and resulting traffic patterns before, during, and after (partial) migration to the cloud. This requires traffic monitoring systems that provide a comprehensive view across enterprise WANs, on-prem services, and multiple cloud providers. We show from an industryperspective how the well-established NetFlow/IPFIX data sources and Flow Logs available on a file basis from cloud providers can be combined in one solution that provides visibility as a single pane of glass to network operations and application owners. We introduce the IsarFlow Flow Logs Transcoder, its features and integration in Amazon Web Services (AWS) environments. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.subject.ddc 004 de_DE
dc.title Flow Analysis in Heterogeneous Cloud Scenarios en
dc.type Article de_DE
utue.publikation.fachbereich Informatik de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
utue.publikation.noppn yes de_DE

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