[rmcat] Fwd: [ippm] RMCAT SBD
David Hayes <davihay@ifi.uio.no> Thu, 23 July 2015 11:43 UTC
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Date: Thu, 23 Jul 2015 13:43:05 +0200
From: David Hayes <davihay@ifi.uio.no>
To: ippm@ietf.org, "rmcat@ietf.org" <rmcat@ietf.org>
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Subject: [rmcat] Fwd: [ippm] RMCAT SBD
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Hi I neglected to put the RMCAT list in the original mail. When responding, please send to both lists. Thanks! David ---------- Forwarded message ---------- From: David Hayes <davihay@ifi.uio.no> Subject: [ippm] RMCAT SBD Date: Wed, 22 Jul 2015 17:19:04 +0200 To: ippm@ietf.org Hi! When I presented an update of this work on Shared Bottleneck Detection (SBD) in the RMCAT meeting a few days ago it was suggested that I send a note to the ippm group due to the delay metrics the mechanism uses. The slides for the recent update can be found here: http://www.ietf.org/proceedings/93/slides/slides-93-rmcat-5.pdf The draft can be found here: https://tools.ietf.org/html/draft-ietf-rmcat-sbd-01 The item that prompted this suggestion was the use of a metric based on Mean Absolute Deviation (MAD). Some notes on the context of this work: The mechanism uses summary type statistics describing the shape of flow OWDs in order to distinguish between flows sharing or not sharing a common bottleneck. It is designed to be light weight and store a minimum of state, with potential for having a future OS kernel implementation (though this is not a requirement or need in the RMCAT context where it will be in the browser). MAD (modified to enable 'on the fly' calculation without storing OWD measurements) is used as a variability measure. It is being put forward as a more robust measure (for SBD purposes) than the earlier measure based on a type of PDV measure (max-mean per period T). The purpose of these measures is for grouping flows not for measuring performance, however, the use of these metrics may be of interest to the group. The work may also benefit from the expertise in the ippm community. Kind regards, David PS If you are wondering about the examples at the end of the slides that have significant clock skew and some graph based clustering, these are work in progress and the mechanisms that facilitates these have not yet been annunciated in the draft. -- ------------------------- David Hayes davihay@ifi.uio.no Department of Informatics University of Oslo _______________________________________________ ippm mailing list ippm@ietf.org https://www.ietf.org/mailman/listinfo/ippm
- [rmcat] Fwd: [ippm] RMCAT SBD David Hayes