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Re: MPLS Inter-area TE requirement draft
- To: Jean Philippe Vasseur <jvasseur@cisco.com>
- Subject: Re: MPLS Inter-area TE requirement draft
- From: Yakov Rekhter <yakov@juniper.net>
- Date: Sat, 03 Jan 2004 17:26:53 -0800
- Cc: Yakov Rekhter <yakov@juniper.net>, Jim Boyle <jboyle@pdnets.com>, te-wg@ops.ietf.org, ejk@tech.org, bwijnen@lucent.com, jeanlouis.leroux@francetelecom.com, Raymond_Zhang@infonet.com, Kenji Kumaki <ke-kumaki@kddi.com>, Yuichi Ikejiri <y.ikejiri@ntt.com>, Parantap Lahiri <parantap.lahiri@mci.com>, ting_wo.chung@bell.ca
- In-reply-to: Your message of "Fri, 02 Jan 2004 15:25:37 EST." <4.3.2.7.2.20040102152031.078abe90@wells.cisco.com>
Jean Philippe,
> At 11:55 AM 1/2/2004 -0800, Yakov Rekhter wrote:
> >Jean Philippe,
> >
> > > Jim,
> > >
> > > At 07:05 PM 12/31/2003 -0800, Jim Boyle wrote:
> > >
> > > >JP, so you state that both optimality and scalability are
> > > >requirements, yet you acknowledge that there will be trade-offs. I
> > > >believe it is important to prioritize the requirements, so as to best
> > > >guide the discussion on the solution.
> > >
> > > A few comments:
> > > - you seem to make the statement that optimal always means non scalable,
> > > something I disagree with. Of course, more optimal very likely means more
> > > expensive to compute, hence the trade-off I was referring to.
> >
> >Whether optimality means scalability depends on the problem complexity.
> >E.g., for problems with log or (low) polynomial complexity optimality
> >need *not* mean non scalable; on the other hand, for NP-complete problems
> >optimality certainly *does* mean non-scalable.
>
> fully agree. Here, the potential solution one has in mind (PCS) relies on
> CSPF, although more sophisticated algorithms could be used of course.
> By optimal we mean as optimal as in the case of a single area (shortest
> constrained path).
In this case what you call "optimal" is really a *local* optimal.
So, the question to ask is whether requirement is to produce a
locally optimal solution only, or whether the goal is produce a
globally optimal solution.
Yakov.