Every time we measure and graph something new, we discover something we never could have predicted by looking at the hing we set out to graph.

--dave

On 2021-02-26 7:36 p.m., Jason Iannone wrote:
Beyond getting acquainted with a new dataset? I'm a transit network that supports, among other traffic types, science flows. I think new monitoring methods can help identify targets for intervention.

On Fri, Feb 26, 2021, 4:06 PM Toke Høiland-Jørgensen <t...@toke.dk <mailto:t...@toke.dk>> wrote:

    TJason Iannone <jason.iann...@gmail.com
    <mailto:jason.iann...@gmail.com>> writes:

    > I ended up cloning the pping repo and running make locally.
    >
    > Installing was a few steps:
    >
    > 1. mkdir ~/src/libtins/build
    > 2. cd ~/src/libtins/build
    > 2. git clone https://github.com/mfontanini/libtins.git
    <https://github.com/mfontanini/libtins.git>
    > 3. make
    > 4. sudo make install
    > 5. cd ~/src
    > 6. git clone https://github.com/pollere/pping.git
    <https://github.com/pollere/pping.git>
    > 7. cd pping
    > 8. make
    > 9. ./pping
    >
    > The promise of this, as Kathleen Nichols points out, is that we can
    > passively monitor production flows to get a novel sense of end
    to end
    > performance per flow. I don't know of any other passive monitoring
    > technique, beyond a port mirror + a whole gang of systems, that
    can provide
    > this level of detail. Please enlighten me if I'm wrong. The only
    other
    > passive monitoring mechanisms I'm aware of are SNMP polling,
    IPFIX/*Flow,
    > and Streaming Telemetry Interface. None of those systems provide
    end to end
    > flow performance details. The standard in-band active monitoring
    tools are
    > good for determining node to node and full path metrics, but
    this provides
    > a more complete picture of end to end performance beyond active
    > y.1731/802.3ag/OAM probes. I'm a little surprised that I'm only
    learning
    > about it now.

    What's your use case? :)

    -Toke


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