Re: [Idr] Part 3 of CAR/CT Adoption call (7/14/2022 to 7/27/2022) - Operational Differences

[Robert Raszuk <[e-mail]>]

Hi,

My point is that this is the first time we are facing the introduction of
BGP invalidation (as you stated no resolution) by performance (or
under-perfomance) of data plane metric.

I think this has new consequences to the protocol which are nowhere near
SAFI 4.

Perhaps it could work just fine for reasonable scale. But the numbers being
quoted of 1.5M color routes seems way too excessive and rather suggest
different protocol encoding or one more layer of hierarchy/indirection
needed.

Many thx,
R.





On Mon, Jul 25, 2022 at 3:13 AM Jeffrey Haas <[e-mail]> wrote:

> Robert,
>
> I make no comment on how it is intended to be deployed. Only that the
> consequences protocol-wise are the same.
>
> Jeff
>
> On Jul 24, 2022, at 7:22 PM, Robert Raszuk <[e-mail]> wrote:
>
> 
> Hi Jeff,
>
> > The stability dynamics and impact of service route re-resolution are
> largely the same as BGP labeled unicast.
>
> I would quite not agree with the above.
>
> Reason being that labeled unicast is about reachability.
>
> Here we are talking about real promises of data plane "performance" hence
> we are dealing with completely different set of triggers for various data
> plane issues.
>
> Many thx,
> R.
>
>
>
>
>
> On Mon, Jul 25, 2022 at 1:10 AM Jeffrey Haas <[e-mail]> wrote:
>
>> Robert,
>>
>> A partial comment from my mobile device.
>>
>> Withdraw encoding will pack much denser. On a total withdraw you likely
>> could pack 200 or more prefixes per update.
>>
>> Implicit withdraw via replacement is clearly same speed as initial
>> advertisement.
>>
>> The stability dynamics and impact of service route re-resolution are
>> largely the same as BGP labeled unicast. Thus, beware churning your
>> transport routes.
>>
>>
>>
>> Jeff
>>
>> On Jul 24, 2022, at 12:28 PM, Robert Raszuk <[e-mail]> wrote:
>>
>> 
>> Hi Jeff,
>>
>> Sure 300k times 5 colors makes it 1.5M ...
>>
>> So I have a few different questions here.
>>
>> Assume in CAR/CT enabled domain one color has transport problems ... say
>> low latency is becoming not so low due to interface queuing is transiently
>> congesting for whatever reason between P1 and P2 nodes (not even running
>> any BGP).
>>
>> Q1 - How (by what exact protocol) and how fast such issue with
>> forwarding a given color via this domain will be visible at the CAR/CT
>> layer ?
>>
>> Q2 - Assume Q1 is done - do we now need to withdraw 300K routes based on
>> one color brownout ?
>>
>> Q3 - According to your math such CAR/CT reaction will take 30 sec. What
>> if transport problem is transient and occurs for say 5-10 sec every 40 sec
>> ?
>>
>> Q4 - Is there in any document an analysis on dynamics of CAR/CT
>> signalling needed to make this at all practical in real deployments vs ppts
>> ?
>>
>> We keep burning energy on encoding, but apologies if I missed it but I am
>> not seeing the full picture here.
>>
>> Why not advertise just 5 colors between those domains in 5 NLRIs and
>> define a new attribute to carry all the interdomain color mappings in it ?
>>
>> 5 being an example from the section 6.3.2 ... but realistically we could
>> perhaps vastly simplify this if we define day one set of well-known colors
>> instead of each domain inventing their own definition :)
>>
>> Maybe I am just too practical here - but your math inspired those
>> questions :)
>>
>> Many thx,
>> R.
>>
>>
>> On Sun, Jul 24, 2022 at 4:47 PM Jeffrey Haas <[e-mail]> wrote:
>>
>>> On Sun, Jul 24, 2022 at 10:44:49AM +0530, Ketan Talaulikar wrote:
>>> > The scalability requirements are captured here:
>>> >
>>> https://datatracker.ietf.org/doc/html/draft-hr-spring-intentaware-routing-using-color-00#section-6.3.2
>>> >
>>> > This is the merged document that, I believe, captures the consensus
>>> that
>>> > both the CAR and CT solutions aim to address.
>>>
>>> Thanks, Ketan.
>>>
>>> Roughly 1.5 million routes.
>>>
>>> Presuming an example 10k update per second handling, roughly 2.5 minutes
>>> of
>>> convergence time without packing optimizations.
>>>
>>> -- Jeff
>>>
>>