Model-Based Metrics for Bulk Transport Capacity

Abstract

This document introduces a new class of Model-Based Metrics designed to assess if a complete Internet path can be expected to meet a predefined Target Transport Performance by applying a suite of IP diagnostic tests to successive subpaths. The subpath-at-a-time tests can be robustly applied to critical infrastructure, such as network interconnections or even individual devices, to accurately detect if any part of the infrastructure will prevent paths traversing it from meeting the Target Transport Performance.

Model-Based Metrics rely on mathematical models to specify a Targeted IP Diagnostic Suite, a set of IP diagnostic tests designed to assess whether common transport protocols can be expected to meet a predetermined Target Transport Performance over an Internet path.

For Bulk Transport Capacity, the IP diagnostics are built using test streams and statistical criteria for evaluating the packet transfer that mimic TCP over the complete path. The temporal structure of the test stream (e.g., bursts) mimics TCP or other transport protocols carrying bulk data over a long path. However, they are constructed to be independent of the details of the subpath under test, end systems, or applications. Likewise, the success criteria evaluates the packet transfer statistics of the subpath against criteria determined by protocol performance models applied to the Target Transport Performance of the complete path. The success criteria also does not depend on the details of the subpath, end systems, or applications.

Abstract as published in the RFC, via rfc-editor.org.

What “Experimental” means

Describes a specification that is part of a research or development effort, published so the community can gain experience with it.