Network Working Group R. Huang
INTERNET-DRAFT R. Even
Intended Status: Informational Huawei
Expires: August 18, 2014 V. Singh
Aalto University
D. Romascanu
Avaya
L. Deng
China Mobile
February 14, 2014
Considerations for Selecting RTCP Extended Report (XR)
Metrics for the RTCWEB Statistics API
draft-huang-xrblock-rtcweb-rtcp-xr-metrics-03
Abstract
This document describes monitoring features related to RTCWEB. It
provides a list of RTCP XR metrics that are useful and may need to be
supported in some RTCWEB implementations.
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Copyright and License Notice
Copyright (c) 2014 IETF Trust and the persons identified as the
<Huang, et al.> Expires August 18, 2014 [Page 1]INTERNET DRAFT <RTCP XR Metrics for RTCWEB> February 14, 2014
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Table of Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 3
2 Terminology . . . . . . . . . . . . . . . . . . . . . . . . . . 3
3 RTP Statistics in WebRTC Implementations . . . . . . . . . . . 3
4 Considerations for Impact of Measurement Interval . . . . . . . 4
5 Candidate Metrics . . . . . . . . . . . . . . . . . . . . . . . 4
5.1 Network Impact Metrics . . . . . . . . . . . . . . . . . . 5
5.1.1 Loss and Discard Packet Count Metric . . . . . . . . . 5
5.1.2 Burst/Gap Pattern Metrics for Loss and Discard . . . . 6
5.1.3 Run Length Encoded Metrics for Loss, Discard . . . . . 6
5.1.3 ECN related Metrics . . . . . . . . . . . . . . . . . . 7
5.2 Application Impact Metrics . . . . . . . . . . . . . . . . 7
5.2.1 Discard Octets Metric . . . . . . . . . . . . . . . . . 7
5.2.2 Frame Impairment Summary Metrics . . . . . . . . . . . 8
5.2.3 Jitter Buffer Metrics . . . . . . . . . . . . . . . . . 8
5.3 Recovery metrics . . . . . . . . . . . . . . . . . . . . . 9
5.3.1 Post-repair Packet Count Metrics . . . . . . . . . . . 9
5.3.2 Run Length Encoded Metric for Post-repair . . . . . . . 9
6 Security Considerations . . . . . . . . . . . . . . . . . . . . 9
7 IANA Considerations . . . . . . . . . . . . . . . . . . . . . . 10
8 Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . . 10
9 References . . . . . . . . . . . . . . . . . . . . . . . . . . 10
9.1 Normative References . . . . . . . . . . . . . . . . . . . 10
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . . 12
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1 Introduction
Web based real-time communication (WebRTC) is becoming prevalent. To
help measure the quality of the WebRTC services better, applications