Re: [ippm] Fw: New Version Notification for draft-ietf-ccamp-lsp-dppm-08

[Lou Berger <lberger at labn.net>]

Weiqiang,
	Thank you for addressing the detailed comments.  Given the number of
differences from the previously last called version (05), I think it
best to hold a second last call.  I'll send the announcement in a
separate message to just the ccamp WG.  I think it would be helpful if
you followed up the announcement with a summary of the changes from the
previously last called rev.

For convenience, here's the url to see the diff:
http://tools.ietf.org/rfcdiff?difftype=--hwdiff&url1=draft-ietf-ccamp-lsp-dppm-05.txt&url2=draft-ietf-ccamp-lsp-dppm-08.txt

Lou

On 9/8/2009 2:26 AM, Weiqiang Sun wrote:
> All,
> 
> A new version of the DPPM draft has been uploaded.
> 
> In this revision there is one technical change in 14.3. This change is
> made based on the discussion between Reinhard Schrage and us. In the
> original text, we used the percentile definition in RFC 2681. Reinhard
> suggested the current definition, which is detailed in RFC 2330. We
> believe that the current definition is more clear and easy to
> understand. The change is summarized below.
> 
> We would again hand this draft back to Lou and Deborah for further
> processing. The authors believe that a second WGLC might not be
> necessary, since the two definitions yield similar results on large
> measurements.
> 
> Original text:
> ---------------------
> 14.3.  The percentile of Metric
> 
>   The percentile of Metric is defined as: given a metric and a percent
>   X between 0% and 100%, the Xth percentile of all the dT values in the
>   sample."  In addition, the percentile is undefined if the sample is
>   empty.
> 
>   Example: suppose we take a sample and the results are: Stream1 = <
>   <T1, 100 msec>, <T2, 110 msec>, <T3, undefined>, <T4, 90 msec>, <T5,
>   500 msec> >
> 
>   Then the 50th percentile would be 110 msec, since 90 msec and 100
>   msec are smaller, and 110 and 500 msec are larger (undefined values
>   are not counted in).
> 
> ---------------------
> 
> New text:
> ---------------------
> 14.3.  The percentile of Metric
> 
>   The "empirical distribution function" (EDF) of a set of scalar
>   measurements is a function F(x) which for any x gives the fractional
>   proportion of the total measurements that were <= x.
> 
>   Given a percentage X, the X-th percentile of Metric means the
>   smallest value of x for which F(x) >= X. Undefined values
>   MUST NOT be counted in.
> 
>   See RFC2330 for further details.
> ---------------------
> 
> Thanks and best regards,
> Weiqiang
> 
> --------------------------------------------------
> From: "IETF I-D Submission Tool" <idsubmission at ietf.org>
> Sent: Tuesday, September 08, 2009 2:03 PM
> To: <sunwq at mit.edu>
> Cc: <zhangguoying at mail.ritt.com.cn>; <gjhhit at huawei.com>;
> <xieg at cs.ucr.edu>; <rpapneja at isocore.com>; <BGu at ixiacom.com>;
> <xqwei at fiberhome.com.cn>; <otani at kddilabs.jp>; <jingrq at ctbri.com.cn>
> Subject: New Version Notification for draft-ietf-ccamp-lsp-dppm-08
> 
>>
>> A new version of I-D, draft-ietf-ccamp-lsp-dppm-08.txt has been
>> successfuly submitted by Weiqiang Sun and posted to the IETF repository.
>>
>> Filename: draft-ietf-ccamp-lsp-dppm
>> Revision: 08
>> Title: Label Switched Path (LSP) Dynamic Provisioning Performance
>> Metrics in Generalized MPLS Networks
>> Creation_date: 2009-09-08
>> WG ID: ccamp
>> Number_of_pages: 49
>>
>> Abstract:
>> Generalized Multi-Protocol Label Switching (GMPLS) is one of the most
>> promising candidate technologies for future data transmission
>> network.  GMPLS has been developed to control and operate different
>> kinds of network elements, such as conventional routers, switches,
>> Dense Wavelength Division Multiplexing (DWDM) systems, Add- Drop
>> Multiplexers (ADMs), photonic cross-connects (PXCs), optical cross-
>> connects (OXCs), etc.  Dynamic provisioning ability of these
>> physically diverse devices differs from each other drastically.  At
>> the same time, the need for dynamically provisioned connections is
>> increasing because optical networks are being deployed in metro
>> areas.  As different applications have varied requirements in the
>> provisioning performance of optical networks, it is imperative to
>> define standardized metrics and procedures such that the performance
>> of networks and application needs can be mapped to each other.
>>
>> This document provides a series of performance metrics to evaluate
>> the dynamic LSP provisioning performance in GMPLS networks,
>> specifically the dynamic LSP setup/release performance.  These
>> metrics can depict the features of GMPLS networks in LSP dynamic
>> provisioning.
>>
>>
>>
>> The IETF Secretariat.
>>
>>
>>
> 
> 
>