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 | IETF | ||
Formats | plain text html pdf 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 lossShow full document text