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- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 30.08.2024
- Verantwortlich:
- Wiedner, Florian
- Autorinnen / Autoren:
- Wiedner, Florian; Helm, Max; Daichendt, Alexander; Andre, Jonas; Carle, Georg
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Titel:
- Performance Evaluation of Containers for Low-Latency Packet Processing in Virtualized Network Environments
- Identifikator:
- doi:10.14459/2024mp1736868
- Enddatum der Datenerzeugung:
- 29.02.2024
- Fachgebiet:
- DAT Datenverarbeitung, Informatik
- Quellen der Daten:
- Experimente und Beobachtungen / experiments and observations
- Datentyp:
- Tabellen / tables
- Anderer Datentyp:
- PCAPs
- Methode der Datenerhebung:
- See https://wiednerf.github.io/container-in-low-latency/pages/setup.html and the Paper "Performance Evaluation of Containers for Low-Latency Packet Processing in Virtualized Network Environments"
- Beschreibung:
- This Dataset contains PCAPs and detailed per flow CSV data for the reproducibility of the paper "Performance Evaluation of Containers for Low-Latency Packet Processing in Virtualized Network Environments" for Scenario 2.
All Data for Scenario 1 are available under: https://doi.org/10.14459/2023mp1718824
Packet processing in current network scenarios faces complex challenges due to the increasing prevalence of requirements such as low latency, high reliability, and resource sharing.
Virtualization is a potential solution to mitigate these challenges by enabling resource sharing and on-demand provisioning; however, ensuring high reliability and ultra-low latency remains a key challenge.
Since bare-metal systems are often impractical because of high cost and space usage, and the overhead of virtual machines (VMs) is substantial, we evaluate the utilization of containers as a potential lightweight solution for low-latency packet processing. Herein, we discuss the benefits and drawbacks and encourage container environments in low-latency packet processing when the degree of isolation of customer data is adequate and bare metal systems are unaffordable. Our results demonstrate that containers exhibit similar latency performance with more predictable tail-latency behavior than bare metal packet processing. - Links:
All Data for Scenario 1 are available under: https://doi.org/10.14459/2023mp1718824
Website to the publication: https://wiednerf.github.io/container-in-low-latency
The dataset is related to the publication https://doi.org/10.1016/j.peva.2024.102442- Schlagworte:
- low-latency; container; virtualization; packet processing
- Technische Hinweise:
- View and download (901 GB total, 1303 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1736868):
rsync rsync://m1736868@dataserv.ub.tum.de/m1736868/ - Sprache:
- en
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
- Horizon 2020:
- Project SLICES-SC, 101008468, and SLICES-PP, 101079774
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