Aggregating large-scale measurements for Application Layer Traffic Optimization (ALTO) Protocol
draft-goergen-lmap-fcc-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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|
|---|---|---|---|
| Authors | David Goergen, R State , Vijay K. Gurbani | ||
| Last updated | 2014-01-16 (Latest revision 2013-07-15) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
Analyzing and aggregating large-scale broadband measurements is essential to study trends and derive network analytics. These trends and analyses could be made available through well defined protocols such as the Application Layer Traffic Optimization (ALTO) protocol. However, ALTO requires network information to be distilled and abstracted in form of a network map and a cost map. We describe our methodology for analyzing the United States Federal Communication Commission's (FCC) Measuring Broadband America (MBA) dataset to derive required topology and cost maps suitable for consumption by an ALTO server.
Authors
David Goergen
R State
Vijay K. Gurbani
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)