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Document type:
Forschungsdaten
Publication date:
30.08.2023
Responsible:
Wiedner, Florian
Authors:
Wiedner, Florian; Helm, Max; Daichendt, Alexander; Andre, Jonas; Carle, Georg
Author affiliation:
TUM
Publisher:
TUM
Title:
Containing Low Tail-Latencies in Packet Processing Using Lightweight Virtualization: Raw Data
Identifier:
doi:10.14459/2023mp1718824
End date of data production:
26.02.2023
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Tabellen / tables
Other data type:
PCAPs
Description:
This Dataset contains PCAPs and detailed per flow CSV data for the reproducibility of the paper "Containing Low Tail-Latencies in Packet Processing Using Lightweight Virtualization": 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 virtual machines require substantial additional resources, we evaluate the utilization of containers as a potential lightweight solution for low-latency-enabled packet processing.
Herein, we discuss the benefits and drawbacks and encourage the use of 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 achieve similar latency performance with more predictable tail-latency behavior compared to bare metal packet processing.
Furthermore, we show that the overhead caused by virtualization is negligible in tail latencies.
Method of data assessment:
See info under "Links" and the Paper "Containing Low Tail-Latencies in Packet Processing Using Lightweight Virtualization"
Links:

Information to the method of data assessment is available under https://wiednerf.github.io/containerized-low-latency/pages/setup.html
Website to the publication: https://wiednerf.github.io/containerized-low-latency/

Key words:
low-latency; testbed; container; virtualization; packet processing
Technical remarks:
View and download (968 GB total, 1449 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1718824):
rsync rsync://m1718824@dataserv.ub.tum.de/m1718824/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
Horizon 2020:
project SLICES-SC, 101008468, and SLICES-PP, 101079774
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