One-way Loss Pattern Sample Metrics
RFC 3357
| Document | Type | RFC - Informational (August 2002; No errata) | |
|---|---|---|---|
| Authors | Rayadurgam Ravikanth , Rajeev Koodli | ||
| Last updated | 2013-03-02 | ||
| Stream | Internet Engineering Task Force (IETF) | ||
| Formats | plain text html pdf htmlized (tools) htmlized bibtex | ||
| Stream | WG state | (None) | |
| Document shepherd | No shepherd assigned | ||
| IESG | IESG state | RFC 3357 (Informational) | |
| Action Holders |
(None)
|
||
| Consensus Boilerplate | Unknown | ||
| Telechat date | |||
| Responsible AD | Allison Mankin | ||
| IESG note | Responsible: Finished | ||
| Send notices to | <kaeo@merike.com>, <matt@internet2.edu> | ||
Network Working Group R. Koodli
Request for Comments: 3357 Nokia Research Center
Category: Informational R. Ravikanth
Axiowave
August 2002
One-way Loss Pattern Sample Metrics
Status of this Memo
This memo provides information for the Internet community. It does
not specify an Internet standard of any kind. Distribution of this
memo is unlimited.
Copyright Notice
Copyright (C) The Internet Society (2002). All Rights Reserved.
Abstract
Using the base loss metric defined in RFC 2680, this document defines
two derived metrics "loss distance" and "loss period", and the
associated statistics that together capture loss patterns experienced
by packet streams on the Internet. The Internet exhibits certain
specific types of behavior (e.g., bursty packet loss) that can affect
the performance seen by the users as well as the operators. The loss
pattern or loss distribution is a key parameter that determines the
performance observed by the users for certain real-time applications
such as packet voice and video. For the same loss rate, two
different loss distributions could potentially produce widely
different perceptions of performance.
Koodli & Ravikanth Informational [Page 1]
RFC 3357 One-way Loss Pattern Sample Metrics August 2002
Table of Contents
1. Introduction 3
2. Terminology 3
3. The Approach 3
4. Basic Definitions 4
5. Definitions for Samples of One-way Loss Distance, and One-way
Loss Period 5
5.1. Metric Names . . . . . . . . . . . . . . . . . . . . . . 5
5.1.1. Type-P-One-Way-Loss-Distance-Stream . . . . . . . 5
5.1.2. Type-P-One-Way-Loss-Period-Stream . . . . . . . . 5
5.2. Metric Parameters . . . . . . . . . . . . . . . . . . . . 5
5.3. Metric Units . . . . . . . . . . . . . . . . . . . . . . 5
5.3.1. Type-P-One-Way-Loss-Distance-Stream . . . . . . . 5
5.3.2. Type-P-One-Way-Loss-Period-Stream . . . . . . . . 5
5.4. Definitions . . . . . . . . . . . . . . . . . . . . . . . 6
5.4.1. Type-P-One-Way-Loss-Distance-Stream . . . . . . . 6
5.4.2. Type-P-One-Way-Loss-Period-Stream . . . . . . . . 6
5.4.3. Examples . . . . . . . . . . . . . . . . . . . . 6
5.5. Methodologies . . . . . . . . . . . . . . . . . . . . . . 7
5.6. Discussion . . . . . . . . . . . . . . . . . . . . . . . 8
5.7. Sampling Considerations . . . . . . . . . . . . . . . . . 8
5.8. Errors and Uncertainties . . . . . . . . . . . . . . . . 8
6. Statistics 9
6.1. Type-P-One-Way-Loss-Noticeable-Rate . . . . . . . . . . . 9
6.2. Type-P-One-Way-Loss-Period-Total . . . . . . . . . . . . 9
6.3. Type-P-One-Way-Loss-Period-Lengths . . . . . . . . . . . 10
6.4. Type-P-One-Way-Inter-Loss-Period-Lengths . . . . . . . . 10
6.5. Examples . . . . . . . . . . . . . . . . . . . . . . . . 10
7. Security Considerations 11
7.1. Denial of Service Attacks . . . . . . . . . . . . . . . . 12
7.2. Privacy / Confidentiality . . . . . . . . . . . . . . . . 12
7.3. Integrity . . . . . . . . . . . . . . . . . . . . . . . . 12
8. IANA Considerations 12
9. Acknowledgements 12
10. Normative References 12
11. Informative References 13
Authors' Addresses 14
Full Copyright Statement 15
Koodli & Ravikanth Informational [Page 2]
RFC 3357 One-way Loss Pattern Sample Metrics August 2002
1. Introduction
In certain real-time applications (such as packet voice and video),
the loss pattern or loss distribution is a key parameter that
determines the performance observed by the users. For the same loss
rate, two different loss distributions could potentially produce
widely different perceptions of performance. The impact of loss
pattern is also extremely important for non-real-time applications
that use an adaptive protocol such as TCP. Refer to [4], [5], [6],
[11] for evidence as to the importance and existence of loss
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