| dc.rights.license | Visos teisės saugomos / All rights reserved | en_US |
| dc.contributor.author | Kapočius, Narūnas | |
| dc.date.accessioned | 2025-12-12T11:35:50Z | |
| dc.date.available | 2025-12-12T11:35:50Z | |
| dc.date.issued | 2020 | |
| dc.identifier.isbn | 9781728197807 | en_US |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/159534 | |
| dc.description.abstract | Containers and microservices applications are complex and their orchestration is inevitable. As of today, Kubernetes is the most popular choice for container orchestration. However, there are various Kubernetes network implementations based on different CNI (Container Networking Interface) plugins which functionalities and performance could differ. In this paper 4 CNCF (Cloud Native Computing Foundation) recommended CNI plugins are benchmarked in a physical datacentre environment. CNI plugins performance is evaluated in terms of latency and average TCP throughput for various Maximum Transmission Unit (MTU) sizes, the different number of aggregated network interfaces, and different interfaces segmentation offloading conditions. Plugins' performance is compared to baremetal baseline results. | en_US |
| dc.format.extent | 6 p. | en_US |
| dc.format.medium | Tekstas / Text | en_US |
| dc.language.iso | en | en_US |
| dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/159395 | en_US |
| dc.source.uri | https://ieeexplore.ieee.org/document/9108894 | en_US |
| dc.subject | Kubernetes | en_US |
| dc.subject | CNI | en_US |
| dc.subject | Container Network Interface | en_US |
| dc.subject | aggregation | en_US |
| dc.subject | teaming | en_US |
| dc.title | Performance Studies of Kubernetes Network Solutions | en_US |
| dc.type | Konferencijos publikacija / Conference paper | en_US |
| dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
| dcterms.issued | 2020-06-05 | |
| dcterms.references | 10 | en_US |
| dc.description.version | Taip / Yes | en_US |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | en_US |
| dc.contributor.institution | Vilnius Gediminas Technical University | en_US |
| dcterms.sourcetitle | 2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania | en_US |
| dc.identifier.eisbn | 9781728197791 | en_US |
| dc.publisher.name | IEEE | en_US |
| dc.publisher.country | United States of America | en_US |
| dc.publisher.city | New York | en_US |
| dc.identifier.doi | https://doi.org/10.1109/eStream50540.2020.9108894 | en_US |
