RFC 3357 (rfc3357) - Page 3 of 15
One-way Loss Pattern Sample Metrics
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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 burstiness and its effect on packet voice and video applications. Previously, the focus of the IPPM had been on specifying base metrics such as delay, loss and connectivity under the framework described in RFC 2330. However, specific Internet behaviors can also be captured under the umbrella of the IPPM framework, specifying new concepts while reusing existing guidelines as much as possible. In this document, we propose two derived metrics, called "loss distance" and "loss period", with associated statistics, to capture packet loss patterns. The loss period metric captures the frequency and length (burstiness) of loss once it starts, and the loss distance metric captures the spacing between the loss periods. It is important to note that these metrics are derived based on the base metric Type-P- One-Way-packet-Loss. 2. Terminology The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", "OPTIONAL", and "silently ignore" in this document are to be interpreted as described in BCP 14, RFC 2119 [2]. 3. The Approach This document closely follows the guidelines specified in [3]. Specifically, the concepts of singleton, sample, statistic, measurement principles, Type-P packets, as well as standard-formed packets all apply. However, since the document proposes to capture specific Internet behaviors, modifications to the sampling process MAY be needed. Indeed, this is mentioned in [1], where it is noted that alternate sampling procedures may be useful depending on specific circumstances. This document proposes that the specific behaviors be captured as "derived" metrics from the base metrics the behaviors are related to. The reasons for adopting this position are the following: Koodli & Ravikanth Informational



