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 |