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Flow Setup Latency in SDN Networks

Authors: Ramin Khalili; Zoran Despotovic; Artur Hecker;

Flow Setup Latency in SDN Networks

Abstract

In Software-Defined Networking (SDN), the typical switch-controller cycle, from generating a network event notification at the controller until the flow rules are installed at the switches, is not an instantaneous activity. Our measurement results show that this has serious implications on the performance of flow setup procedure, specifically for larger networks: we observe that, even with software switches, the flow setup latency for networks of around 500 switches is in order of 50 milliseconds, with 99th percentile exhibiting 10 times higher latencies. To reduce both the latency and the variance of the flow setup, we propose path aggregation strategies, which turn the network into a set of pre-configured pipes that connect any pair of nodes. Our approach radically simplifies the flow setup procedure by minimizing the set of switches to be updated for new userinitiated flows to a constant number. We implement our solution in our testbed and study its performance through measurements. The results show that, in similar settings, it reduces the median and 99-percentile latencies to 5:9ms and 7ms, respectively, significantly improving the performance, especially in the tail.

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Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science Testbed Real-time computing Control system Scalability Process control Latency (engineering) Software-defined networking

Keywords

Computer Networks and Communications, Electrical and Electronic Engineering

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    visibility views 112
    download downloads 907
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
  • 112
    views
    907
    downloads
    Powered byOpenAIRE UsageCounts
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
18
Top 10%
Average
Top 10%
112
907
Funded by
EC| 5G-VINNI
Project
5G-VINNI
5G Verticals INNovation Infrastructure
  • Funder: European Commission (EC)
  • Project Code: 815279
  • Funding stream: H2020 | RIA
Validated by funder
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